Arizona State University's Arts, Media, and Engineering Program is currently addressing the need to assess the growth of group creativity in trans-disciplinary collaboration. This paper describes our initial work in developing criteria and a framework for constructing creativity interventions, or activities designed for building, tracking and evaluating creative group behaviors in diverse communities of IT practitioners. Lisa Tolentino, Aisling Kelliher, David Birchfield and Rebecca Stern (2008). Creativity interventions: physical-digital activities for promoting group creativity, in the Proceedings of CHI '08: CHI '08 extended abstracts on Human factors in computing systems (CHI 2008). 2008-09-11T01:51:02Z 2008-04-05 1 2009-04-27T02:59:01Z http://doi.acm.org/10.1145/1358628.1358771 Effective communication is central in building trust and negotiating differences in diverse, multidisciplinary working environments. In this paper we discuss a tangible mediated environment designed to facilitate positive social interaction between colleagues in a research workplace. Through our multi-user tangible interface in the form of a plush squid, participants can share media resources and collaborate in a playful and inviting setting. Results from preliminary studies indicate that playful mediated work environments stimulate constructive discourse, strengthen social bonds, and enhance creative output. Rebecca Stern, Aisling Kelliher, Winslow Burleson, and Lisa Tolentino (2008). Sharing the Squid: Tangible Workplace Collaboration, in the Proceedings of CHI '08: CHI '08 extended abstracts on Human factors in computing systems (CHI 2008). 2008-09-11T01:51:29Z 2008-04-05 2 2009-04-27T03:01:44Z http://doi.acm.org/10.1145/1358628.1358859 Experience-scapes systems enable scripted sequences of media events (acoustic, visual, and haptic) to be triggered based on time and/or sensed activity. These systems use event-based schedulers and sensors in physical environments to detect and respond to individual and group activity. They are designed to motivate, sustain, and augment a wide variety of human behaviors. Ongoing user testing is geared toward understanding how these systems can be used to better understand, encourage, and organize personal and group activities. A primary goal of experience-scapes research is to leverage increasingly available ubiquitous and physical computing platforms to enhance personal and group self-awareness and self-efficacy. Through user testing and refinement, experience-scape systems are becoming readily deployable, interactive, smart environments that empower people to reflect on their everyday activities. Eric Keylor and Winslow Burleson (2008). Experience-Scapes, in the Proceedings of CHI '08: CHI '08 extended abstracts on Human factors in computing systems (CHI 2008). 2008-09-11T01:51:51Z 2008-04-05 3 2009-04-27T03:24:13Z http://doi.acm.org/10.1145/1358628.1358791 Today’s multidisciplinary, fast-paced and innovative workplaces present new challenges in facilitating effective communication between diverse team members and ensuring successful transfer of knowledge within a flexible workforce. In this paper, we present Conversational Documentary, a model for supporting constructive audiovisual dialog between workplace colleagues that also aims to archive and interpret the work practices and approaches of a creative community. We discuss the development and initial evaluation of the LifeSampler, a prototype audiovisual system designed to support and test our model, and propose directions for future development based on our preliminary results. Ryan Spicer and Aisling Kelliher (2008). LifeSampler: Enabling Conversational Video Documentary, in the Proceedings of CHI '08: CHI '08 extended abstracts on Human factors in computing systems (CHI 2008). 2008-09-11T01:52:25Z 2008-04-05 4 2009-04-27T02:54:20Z http://doi.acm.org/10.1145/1358628.1358824 Adithya Renduchintala, Aisling Kelliher and Hari Sundaram (2006). Creating Serendipitous Encounters in a Geographically Distributed Community, Proc. Workshop on Human Centered Multimedia, in Conjunction with ACM Multimedia 2006, also AME-TR-2006-11, Oct. 2006, Santa Barbara, CA 2008-09-11T01:52:49Z 2006-10-01 5 2008-09-11T01:53:21Z http://ame2.asu.edu/faculty/hs/pubs/2006/hcm17-Renduchintala.pdf Ankur Mani and Hari Sundaram (2006). Modeling User Context with Applications to Media Retrieval. to appear in Multimedia Systems Journal, Summer 2006. 2008-09-11T01:53:09Z 2006-07-01 6 2009-02-19T17:12:01Z http://ame2.asu.edu/faculty/hs/pubs/2006/ms-camera-ready1.pdf Yu-Ru Lin, Hari Sundaram, Yun Chi, Jun Tatemura and Belle Tseng (2006). Discovery of Blog Communities based on Mutual Awareness, Third Annual Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics, at the 15th Annual World Wide Web Conference - WWW 2006, also AME-TR-2006-03, May 2006, Edinburgh, Scotland. 2008-09-11T01:53:51Z 2006-05-01 7 2008-09-11T01:53:51Z http://ame2.asu.edu/faculty/hs/pubs/2006/www2006-discovery-blt-final2.pdf Hari Sundaram and Todd Ingalls (2006). Signal Processing for the Arts: Reaching Out to New Audiences. IEEE Signal Processing Magazine23(3): 14-18. 2008-09-11T01:54:35Z 2006-09-01 8 2008-09-11T01:54:35Z http://ame2.asu.edu/faculty/hs/pubs/2006/DSPEducation_May2k6_final.pdf Ankur Mani and Hari Sundaram (2006). Context Aware Media Retrieval (invited paper), Proc. Conference on Image and Video Retrieval, 2006, July 2006, Tempe, AZ. 2008-09-11T01:55:05Z 2006-07-01 9 2008-09-11T01:55:05Z http://ame2.asu.edu/faculty/hs/pubs/2006/ms-civr.pdf Preetha Appan, Hari Sundaram and Belle Tseng (2006). Summarization and Visualization of Communication Patterns in a Large Social network, The 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006), AME-TR-2005-12, April 2006, Singapore. 2008-09-11T01:55:34Z 2006-04-01 10 2008-09-11T01:55:34Z http://ame2.asu.edu/faculty/hs/pubs/2006/pakdd-camera-ready-pa-hs-bt.pdf Hari Sundaram and Thanassis Rikakis (2006). Experiential Media Systems. Encyclopedia of Multimedia. B. Furtht (eds). NY NY., Springer Verlag. XXVIII: 989p. 2008-09-11T01:56:11Z 2006-01-01 11 2008-09-11T01:56:11Z http://ame2.asu.edu/faculty/hs/pubs/2005/ems-hs-tr.pdf David Birchfield, Nahla Mattar and Hari Sundaram (2005). Design of a Generative Model for Soundscape Creation, Proceedings of the International Computer Music Conference, Sep. 2005, Barcelona, Spain. 2008-09-11T01:56:43Z 2005-09-01 12 2008-09-11T01:56:43Z http://ame2.asu.edu/faculty/hs/pubs/2005/Birchfield_soundscape.pdf Hari Sundaram, Participating in Our Multisensory World, invited SIG Multimedia strategic retreat position paper, AME-TR-2005-09, Mar. 2005. 2008-09-11T01:57:09Z 2005-03-11 13 2008-09-11T01:57:09Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2005-09.pdf Jennifer Brungart, Harini Sridharan, Ankur Mani, Hari Sundaram and David Birchfield, Adapting Multimedia Design to Context: A design framework for interactive, user context-adaptive, multimodal learning environments, Proc. International Design Congress 2005, Oct. 2005, Taipei, Taiwan. 2008-09-11T01:57:48Z 2005-10-01 14 2008-09-11T01:57:48Z http://ame2.asu.edu/faculty/hs/pubs/2005/Brungart_IASDR%20IDC%202005%203.pdf Thanassis Rikakis , Hari Sundaram, Jiping He and Andreas Spanias (2005). An Interdisciplinary Arts and Engineering Initiative for Experiential Multimedia., Proc. 2005 ASEE Annual Conference and Exposition, June 2005, Portland, Oregon. 2008-09-11T01:58:17Z 2005-06-01 15 2008-09-11T01:58:17Z http://ame2.asu.edu/faculty/hs/pubs/2005/2005-362_Final-spanias-asee.pdf Bageshree Shevade, Hari Sundaram, A Visual Annotation Framework Using Common-Sensical and Linguistic Relationships for Semantic Media Retrieval, Proc. 3rd International Workshop on Adaptive Multimedi Retrieval, AMR 2005, July 2005, also AME-TR-2005-7. 2008-09-11T01:59:03Z 2005-07-01 16 2008-09-11T01:59:03Z http://ame2.asu.edu/faculty/hs/pubs/2005/amr05_camera_ready-final-hs.pdf Shreeharsh Kelkar Harini Sridharan Nahla Mattar Hari Sundaram David Birchfield Kelly Philips, Tangible Interfaces for Concept-Based Web Browsing, AME-TR-2005-06, Jan. 2005. 2008-09-11T01:59:40Z 2005-01-01 17 2008-09-11T01:59:40Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2005-06.pdf Bageshree Shevade, Hari Sundaram, Min-Yen Kan, A Collaborative Annotaion Framework, Proc. ICME 2005,Amsterdam, The Netherlands, July 2005, also AME-TR-2005-04. 2008-09-11T02:00:06Z 2005-07-01 18 2008-09-11T02:00:06Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2005-04.pdf Harini Sridharan Ankur Mani Hari Sundaram, A Multimodal Complexity Comprehension-Time Framework for Automated Presentation Synthesis, Proc. ICME 2005,Amsterdam, The Netherlands, July 2005, also AME-TR-2005-03. 2008-09-11T02:00:56Z 2005-07-01 19 2008-09-11T02:00:56Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2005-03.pdf Harini Sridharan Ankur Mani Hari Sundaram Jennifer Brungart David Birchfield, Context-Aware Dynamic Presentation Synthesis For exploratory Multimodal environments, Proc. ICME 2005,Amsterdam, The Netherlands, July 2005, also AME-TR-2005-02. 2008-09-11T02:01:37Z 2005-07-01 20 2008-09-11T02:01:37Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2005-02.pdf Preetha Appan , Bageshree Shevade, Hari Sundaram and David Birchfield (2005). Interfaces for networked media exploration and collaborative annotation, Proc. Int. Conf. on Intelligent User interfaces, also AME-TR-2004-11, Jan. 2005, San Diego, CA. 2008-09-11T02:02:08Z 2005-01-01 21 2008-09-11T02:02:08Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-11.pdf Miranda Zent, David Birchfield and Hari Sundaram (2005). Small-Scale Network Modeling for Interdisciplinary Collaborative Art Projects, Proc. XXV Sunbelt INSNA Social Networks Conference, Feb. 2005, Los Angeles, CA. 2008-09-11T02:02:54Z 2005-02-01 22 2008-09-11T02:02:54Z http://ame2.asu.edu/faculty/hs/pubs/2005/DAB_INSNA-sunbelt.pdf David Birchfield, Nahla Mattar, Hari Sundaram, Preetha Appan, Ankur Mani and Bageshree Shevade (2005). Generative Soundscapes for Experiential Communication, Presented at meeting of the Society for Electro Acoustic Music in the United States, Muncie, IN. 2008-09-11T02:03:21Z 2005-01-01 23 2008-09-11T02:03:21Z Ankur mani, Hari Sundaram Context Aware Media retrieval, AME-TR-2005-01, Jan. 2005 2008-09-11T02:03:55Z 2005-01-01 24 2008-09-11T02:03:55Z http://ame2.asu.edu/faculty/hs/pubs/2005/SoundscapeModel.pdf Shreeharsh Kelkar, Harini Sridharan, Nahla Mattar, Hari Sundaram, David Birchfield and Kelly Philips, Concept Based website navigation using a Tangible User Interface, Arts Media and Engineering Program, ASU, AME-TR-2004-15, Dec. 2004. 2008-09-11T02:05:05Z 2004-12-01 25 2008-09-11T02:05:05Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-15.pdf Preetha Appan, Bageshree Shevade and Hari Sundaram, Interactive Visualization and Content Analysis of Instant Messaging Networks, Arts Media and Engineering Program, ASU, AME-TR-2004-14, Dec. 2004. 2008-09-11T02:05:35Z 2004-12-01 26 2008-09-11T02:05:35Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-14.pdf Harini Sridharan, Yinpeng Chen, Hari Sundaram and Jennifer Brungart, Integrating Paper Annotations with Electronic Environments, AME-TR-2004-13, Arts Media and Engineering, ASU, Dec. 2004. 2008-09-11T02:06:08Z 2004-12-01 27 2008-09-11T02:06:08Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-13.pdf Harini Sridharan, Hari Sundaram and Jennifer Brungart Automated Design of Paper Workbooks, for Electronic Learning Environments, AME-TR-2004-12, Arts Media and Engineering, ASU, Dec. 2004. 2008-09-11T02:06:35Z 2004-12-01 28 2008-09-11T02:06:35Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-12.pdf Preetha Appan and Hari Sundaram Networked event exploration and interaction summarization, to appear in ACM Multimedia 2004, also AME-TR-2004-10, New York, New York, Oct. 2004 2008-09-11T02:07:35Z 2004-10-01 29 2008-09-11T02:07:35Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-10.pdf Ankur Mani, Hari Sundaram, David Birchfield and Gang Qian The Networked Home as a User-Centric Multimedia System. to appear in ACM Multimedia 2004 Workshop on Next Generation Residential Broadband Challenges, New York, New York, Oct. 2004, also AME-TR-2004-09, Jul. 2004 2008-09-11T02:08:06Z 2004-07-01 30 2008-09-11T02:08:06Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-09.pdf Jennifer Brungart, Harini Sridharan, Ankur Mani, Hari Sundaram and David Birchfield Adapting Multimedia Design To Context: A design framework for interactive, user context-adaptive multimodal learning environments,. Arts Media and Engineering Program, Arizona State University, AME-TR-2004-08, Jun. 2004 2008-09-11T02:08:33Z 2004-06-01 31 2008-09-11T02:08:33Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-08.pdf Preetha Appan, Hari Sundaram and David Birchfield Communicating everyday experiences to appear in ACM Multimedia 2004 Workshop on Story Representation, Mechanism and Context, New York, New York, Oct. 2004, also AME-TR-2004-07, Jun. 2004 2008-09-11T02:08:57Z 2004-06-01 32 2008-09-11T02:08:57Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-07.pdf David Birchfield, Hari Sundaram, Gang Qian, and Frances Ward Multimedia Systems for the Next Generation Museum. Arts Media and Engineering Program, Arizona State University, AME-TR-2004-04, Feb. 2004 2008-09-11T02:09:23Z 2004-02-01 33 2008-09-11T02:09:23Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-04.pdf Preetha Appan and Hari Sundaram Networked Exploration of Personal Image Collections, Arts Media and Engineering Program, Arizona State University, AME-TR-2004-03, Jan. 2004 2008-09-11T02:09:46Z 2004-01-01 34 2008-09-11T02:09:46Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-03.pdf Bageshree Shevade and Hari Sundaram Incentive Based Image Annotation. Arts Media and Engineering Program, Arizona State University, AME-TR-2004-02, Jan. 2004. 2008-09-11T02:10:21Z 2004-01-01 35 2008-09-11T02:10:21Z http://ame2.asu.edu/faculty/hs/pubs/ame-tr-2004-02.pdf Harini Sridharan, Ankur Mani, Hari Sundaram, Jennifer Brungart and David Birchfield Geography for Active Learners, Arts Media and Engineering Program, Arizona State University, AME-TR-2004-01, Jan. 2004. 2008-09-11T02:11:06Z 2004-01-01 36 2008-09-11T02:11:06Z Harini Sridharan, Hari Sundaram and Thanassis Rikakis, Computational models for experiences in the arts and multimedia, 1st ACM Workshop on Experiential Telepresence, in conjunction with ACM Multimedia 2003, Berkeley CA, Nov. 2003. 2008-09-11T02:11:36Z 2003-11-01 37 2008-09-11T02:11:36Z http://ame2.asu.edu/faculty/hs/pubs/hs-context-etp2003.pdf Bageshree Shevade and Hari Sundaram, Vidya: An Experiential Annotation System, 1st ACM Workshop on Experiential Telepresence, in conjunction with ACM Multimedia 2003, Berkeley CA, Nov. 2003. 2008-09-11T02:12:05Z 2003-11-01 38 2008-09-11T02:12:05Z http://ame2.asu.edu/faculty/hs/pubs/bs-hs-vidya-final.pdf We have developed a computational framework to characterize social network dynamics in the blogosphere at individual, group and community levels. Such characterization could be used by corporations to help drive targeted advertising and to track the moods and sentiments of consumers. We tested our model on a widely read technology blog called Engadget. Our results show that communities transit between states of high and low entropy, depending on sentiments (positive / negative) about external happenings. We also propose an innovative method to establish the utility of the extracted knowledge, by correlating the mined knowledge with an external time series data (the stock market). Our validation results show that the characterized groups exhibit high stock market movement predictability (89%) and removal of ‘impactful’ groups makes the community less resilient by lowering predictability (26%) and affecting the composition of the groups in the rest of the community. Munmun De Choudhury, Hari Sundaram, Ajita John, Doree Duncan Seligmann (2008). Multi-scale Characterization of Social Network Dynamics in the Blogosphere, in Proceedings of the 17th Conference on Information and Knowledge Management (CIKM 2008). 2008-09-23T00:00:00Z 2008-10-26 39 2009-04-30T18:58:11Z We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have diverse social interactions and exhibit temporal dynamics. In this work we construct summarization by extracting activity themes. We propose a novel unified temporal multi-graph framework for extracting activity themes over time. We use non-negative matrix factorization (NMF) approach to derive two interrelated latent spaces for users and concepts. Activity themes are extracted from the derived latent spaces to construct group activity summary. Experiments on real-world Flickr datasets demonstrate that our technique outperforms baseline algorithms such as LSI, and is additionally able to extract temporally representative activities to construct meaningful group activity summary. Yu-Ru Lin, Hari Sundaram and Aisling Kelliher (2008), Summarization of Social Activity over Time: People; Actions and Concepts in Dynamic Networks (poster), in Proceedings of ACM 17th Conference on Information and Knowledge Management (CIKM 2008) 2008-09-23T00:00:00Z 2008-10-26 40 2009-04-27T03:06:33Z http://doi.acm.org/10.1145/1458082.1458289 In this paper, we develop a temporal representation framework for communication and social context to efficiently predict communication flow in social networks. The problem is important because it facilitates determining social and market trends as well as efficient information paths among people. We describe communication flow by two parameters: the intent to communicate and communication delay. There are three key contributions in this paper. (a) To estimate the intent and delay, we design features to characterize communication and social context. Communication context refers to the attributes of current communication. Social context refers to the patterns of participation in communication (information roles) and the degree of overlap of friends between two people (strength of ties). (b) A subset of optimal features of the communication and social context is chosen at a given time instant using five different feature selection strategies. (c) The features are thereafter used in a Support Vector Regression framework to predict the intent to communicate and the delay between a pair of individuals. We have excellent results (~12% prediction error) on a real world dataset from the largest social networking site, www.myspace.com. We observe interestingly that while context can reasonably predict intent, delay seems to be more dependent on personal contextual changes and latent factors, e.g. ‘age’ of information and presence of cliques among people. Munmun De Choudhury, Hari Sundaram, Ajita John, Doree Duncan Seligmann (2008). Dynamic Prediction of Communication Flow Using Social Context, in Proceedings of the 19th ACM Conference on Hypertext and Hypermedia (HT 2008). 2008-09-23T00:00:00Z 2008-06-19 41 2009-04-30T18:59:13Z In this paper, we develop a simple model to study and analyze communication dynamics in the blogosphere and use these dynamics to determine interesting correlations with stock market movement. This work can drive targeted advertising on the web as well as facilitate understanding community evolution in the blogosphere. We describe the communication dynamics by several simple contextual properties of communication, e.g. the number of posts, the number of comments, the length and response time of comments, strength of comments and the different information roles that can be acquired by people (early responders / late trailers, loyals / outliers). We study a “technology-savvy” community called Engadget (http://www.engadget.com). There are two key contributions in this paper: (a) we identify information roles and the contextual properties for four technology companies, and (b) we model them as a regression problem in a Support Vector Machine framework and train the model with stock movements of the companies. It is interestingly observed that the communication activity on the blogosphere has considerable correlations with stock market movement. These correlation measures are further cross-validated against two baseline methods. Our results are promising yielding about 78% accuracy in predicting the magnitude of movement and 87% for the direction of movement. Munmun De Choudhury, Hari Sundaram, Ajita John, Doree Duncan Seligmann (2008). Can Blog Communication Dynamics be correlated with Stock Market Activity? in Proceedings of the 19th ACM Conference on Hypertext and Hypermedia (HT 2008). 2008-09-23T00:00:00Z 2008-06-19 42 2009-04-30T19:00:03Z We discover communities from social network data, and analyze the community evolution. These communities are inherent characteristics of human interaction in online social networks, as well as paper citation networks. Also, communities may evolve over time, due to changes to individuals’ roles and social status in the network as well as changes to individuals’ research interests. We present an innovative algorithm that deviates from the traditional two-step approach to analyze community evolutions. In the traditional approach, communities are first detected for each time slice, and then compared to determine correspondences. We argue that this approach is inappropriate in applications with noisy data. In this paper, we propose FacetNet for analyzing communities and their evolutions through a robust unified process. In this novel framework, communities not only generate evolutions, they also are regularized by the temporal smoothness of evolutions. As a result, this framework will discover communities that jointly maximize the fit to the observed data and the temporal evolution. Our approach relies on formulating the problem in terms of non-negative matrix factorization, where communities and their evolutions are factorized in a unified way. Then we develop an iterative algorithm, with proven low time complexity, which is guaranteed to converge to an optimal solution. We perform extensive experimental studies, on both synthetic datasets and real datasets, to demonstrate that our method discovers meaningful communities and provides additional insights not directly obtainable from traditional methods. Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram and Belle Tseng, FaceNet: A Framework for Analyzing Communities and Their Evolutions in Dynamics Networks, in Proceedings of the 17th International World Wide Web Conference (WWW 2008) 2008-09-23T00:00:00Z 2008-04-21 43 2009-04-27T03:08:10Z http://doi.acm.org/10.1145/1367497.1367590 This article addresses the problem of spam blog (splog) detection using temporal and structural regularity of content, post time and links. Splogs are undesirable blogs meant to attract search engine traffic, used solely for promoting affiliate sites. Blogs represent popular online media, and splogs not only degrade the quality of search engine results, but also waste network resources. The splog detection problem is made difficult due to the lack of stable content descriptors. We have developed a new technique for detecting splogs, based on the observation that a blog is a dynamic, growing sequence of entries (or posts) rather than a collection of individual pages. In our approach, splogs are recognized by their temporal characteristics and content. There are three key ideas in our splog detection framework. (a) We represent the blog temporal dynamics using selfsimilarity matrices defined on the histogram intersection similarity measure of the time, content, and link attributes of posts, to investigate the temporal changes of the post sequence. (b) We study the blog temporal characteristics using a visual representation derived from the self-similarity measures. The visual signature reveals correlation between attributes and posts, depending on the type of blogs (normal blogs and splogs). (c) We propose two types of novel temporal features to capture the splog temporal characteristics. In our splog detector, these novel features are combined with content based features. We extract a content based feature vector from blog home pages as well as from different parts of the blog. The dimensionality of the feature vector is reduced by Fisher linear discriminant analysis. We have tested an SVM-based splog detector using proposed features on real world datasets, with appreciable results (90% accuracy). Yu-Ru Lin, Hari Sundaram, Yun Chi, Jun Tatemura and Belle Tseng, Detecting Splogs via Temporal Dynamics using Self-similarity Analysis, in ACM Transactions on the Web (TWEB) Volume 2, Issue 1 (February 2008) 2008-09-23T00:00:00Z 2008-02-01 44 2009-04-27T03:05:14Z http://doi.acm.org/10.1145/1326561.1326565 M. D. Choudhury, H. Sundaram, A. John, D. D. Seligmann (2007), Contextual Prediction of Communication Flow in Social Networks, In Proceedings of the 2007 IEEE / ACM / WIC International Conference on Web Intelligence (WI ’07), pp. 57-65, Nov. 2007, San Jose, CA. 2008-09-23T00:00:00Z 2007-11-01 45 2008-09-23T00:00:00Z There are information needs involving costly decisions that cannot be efficiently satisfied through conventional web search engines. Alternately, community centric search can provide multiple viewpoints to facilitate decision making. We propose to discover and model the temporal dynamics of thematic communities based on mutual awareness, where the awareness arises due to observable blogger actions and the expansion of mutual awareness leads to community formation. Given a query, we construct a directed action graph that is time-dependent, and weighted with respect to the query. We model the process of mutual awareness expansion using a random walk process and extract communities based on the model. We propose an interaction space based representation to quantify community dynamics. Each community is represented as a vector in the interaction space and its evolution is determined by a novel interaction correlation method. We have conducted experiments with a real-world blog dataset and have promising results for detection as well as insightful results for community evolution. Yu-Ru Lin, Hari Sundaram, Yun Chi, Jun Tatemura and Belle Tseng (2007). Blog Community Discovery and Evolution Based on Mutual Awareness Expansion, in Proceedings of 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007). 2008-09-23T00:00:00Z 2007-11-01 46 2009-04-27T03:11:46Z http://portal.acm.org/citation.cfm?id=1331740.1331787&coll=GUIDE&dl=GUIDE&CFID=32950705&CFTOKEN=49020464 Xiang-Jun Wang, Swathi Mamadgi, Atit Thekdi, Aisling Kelliher and Hari Sundaram (2007). Eventory - An Event Based Media Repository, IEEE International Conference on Semantic Computing, Sep. 2007, Irvine, CA. 2008-09-23T00:00:00Z 2007-09-01 47 2008-09-23T00:00:00Z Amit Zunjarwad, Hari Sundaram and Lexing Xie (2007). Contextual Wisdom: Social Relations and Correlations for Multimedia Event Annotation, Proceedings of the 15th annual ACM international conference on Multimedia, ACM Press, Sep. 2007, Augsburg, Germany. 2008-09-23T00:00:00Z 2007-09-01 48 2008-09-23T00:00:00Z Yu-Ru Lin, Hari Sundaram, Yun Chi, Jun Tatemura and Belle Tseng (2007). Splog Detection Using Self-similarity Analysis on Blog Temporal Dynamics, In Proceedings of the 3rd international Workshop on Adversarial information Retrieval on the Web, ACM Press, 1-8, May 2007, Banff, Canada. 2008-09-23T00:00:00Z 2007-05-01 49 2008-09-23T00:00:00Z Yu-Ru Lin, Hari Sundaram, Yun Chi, Jun Tatemura and Belle Tseng (2007). Splog Detection Using Content, Time and Link Structures,Proc. International Conference and Multimedia Expo (ICME) 2007, July 2007, Beijing, China. 2008-09-23T00:00:00Z 2007-07-01 50 2008-09-23T00:00:00Z Yu-Ru Lin and Hari Sundaram (2007). Blog Antenna: Summarization of Personal Blog Temporal Dynamics Based on Self-Similarity Factorization, Proc. International Conference and Multimedia Expo (ICME) 2007, July 2007, Beijing, China. 2008-09-23T00:00:00Z 2007-07-01 51 2008-09-23T00:00:00Z Bageshree Shevade, Hari Sundaram and Lexing Xie (2007). Modeling Personal and Social Network Context for Event Annotation in Images, Proc. Joint Conf. on Digital Libraries 2007, Jun. 2007, Vancouver, Canada. 2008-09-23T00:00:00Z 2007-06-01 52 2008-09-23T00:00:00Z Ryan Brotman, Aisling Kelliher, and Ryan Spicer (2008). Well, how would you do it - Facilitating the transfer of knowledge in collaborative design environments, in the Proceedings of the IDSA International Education Symposium. 2008-11-18T18:23:11Z 2008-08-10 53 2009-04-27T02:51:29Z http://ame2.asu.edu/faculty/kelliher/IDSA08.pdf Melissa Zlatow and Aisling Kelliher (2007). Increasing recycling behaviors through user-centered design. DUX07, Chicago, Illinois, November 5 - 7, 2007. 2008-11-18T18:27:00Z 2007-11-07 54 2008-11-18T18:27:00Z Aisling Kelliher and Glorianna Davenport (2007). Everyday Storytelling: supporting the mediated expression of online personal testimony. Proceedings of the 12th International Conference on Human-Computer Interaction, Beijing, July 2007. 2008-11-18T18:28:50Z 2007-07-01 55 2008-11-18T18:28:50Z http://ame2.asu.edu/faculty/kelliher/kelliher_HCI07.PDF Ben Erlandson, Willie Savenya, Brian Nelson, Aisling Kelliher (2007). AME faculty presentations: improved research through mediated communication tools in a transdisciplinary community of practice. 3rd International Conference on Technology, Knowledge and Society, Cambridge, England, 9 - 11th january, 2007. 2008-11-18T18:30:39Z 2007-01-11 56 2008-11-18T18:30:39Z http://ame2.asu.edu/faculty/kelliher/erl_etal.PDF This paper presents a novel social media summarization framework. Summarizing media created and shared in large scale online social networks unfolds challenging research problems. The networks exhibit heterogeneous social interactions and temporal dynamics. Our proposed framework relies on the co-presence of multiple important facets: who (users), what (concepts and media), how (actions) and when (time). First, we impose a syntactic structure of the social activity (relating users, media and concepts via specific actions) in our temporal multi-graph mining algorithm. Second, important activities along each facet are extracted as activity themes over time. Experiments on Flickr datasets demonstrate that our technique captures nontrivial evolution of media use in social networks. Yu-Ru Lin, Hari Sundaram and Aisling Kelliher (2009). Summarization of Large Scale Social Network Activity, in Proceedings of 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009). 2009-02-19T17:10:44Z 2009-04-19 57 2009-04-27T02:47:32Z We discover communities from social network data, and analyze the community evolution. These communities are inherent characteristics of human interaction in online social networks, as well as paper citation networks. Also, communities may evolve over time, due to changes to individuals' roles and social status in the network as well as changes to individuals' research interests. We present an innovative algorithm that deviates from the traditional two-step approach to analyze community evolutions. In the traditional approach, communities are ¯rst detected for each time slice, and then compared to determine correspondences. We argue that this approach is inappropriate in applications with noisy data. In this paper, we propose FacetNet for analyzing communities and their evolutions through a robust uni¯ed process. This novel framework will discover communities and capture their evolution with temporal smoothness given by historic community structures. Our approach relies on formulating the problem in terms of maximum a posteriori (MAP) estimation, where the community structure is estimated both by the observed networked data and by the prior distribution given by historic community structures. Then we develop an iterative algorithm, with proven low time complexity, which is guaranteed to converge to an optimal solution. We perform extensive experimental studies, on both synthetic datasets and real datasets, to demonstrate that our method discovers meaningful communities and provides additional insights not directly obtainable from traditional methods. Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram and Belle Tseng (2009). Analyzing Communities and Their Evolutions in Dynamics Networks, to appear in ACM Trans. on Knowledge Discovery from Data, special issue on Social Computing, Behavioral Modeling, and Prediction (TKDD). 2009-02-19T17:17:38Z 2009-02-19 58 2009-04-27T02:48:36Z Social media websites promote diverse user interaction on media objects as well as user actions with respect to other users. The goal of this work is to discover community structure in rich media social networks, and observe how it evolves over time, through analysis of multi-relational data. The problem is important in the enterprise domain where extracting emergent community structure on enterprise social media, can help in forming new collaborative teams, aid in expertise discovery, and guide long term enterprise reorganization. Our approach consists of three main parts: (1) a relational hypergraph model for modeling various social context and interactions; (2) a novel hypergraph factorization method for community extraction on multi-relational social data; (3) an on-line method to handle temporal evolution through incremental hypergraph factorization. Extensive experiments on real-world enterprise data suggest that our technique is scalable and can extract meaningful communities. To evaluate the quality of our mining results, we use our method to predict users’ future interests. Our prediction outperforms baseline methods (frequency counts, pLSA) by 36-250% on the average, indicating the utility of leveraging multi-relational social context by using our method. Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi Konuru, Hari Sundaram and Aisling Kelliher (2009). Extracting Community Structure through Relational Hypergraphs (poster), in Proceedings of the 18th International World Wide Web Conference (WWW 2009). 2009-02-19T17:25:07Z 2009-04-19 59 2009-04-27T02:48:10Z Slide-ware presentations typically involve an uninterrupted progression of bulleted slides introduced by a lone figure before a passive audience. This format does not encourage active discussion or facilitate improvisational presentation of material. Two studies were conducted to evaluate how presenters author, rehearse for and deliver presentations. From these studies, feature recommendations for a prototype hyperpresentation system were developed. Ryan Spicer and Aisling Kelliher (2009). NextSlidePlease: Improving Slideware User Interfaces for Dynamic Presentations, in Proceedings of CHI '09: CHI '09 extended abstracts on Human factors in computing systems (CHI 2009). 2009-03-10T21:52:10Z 2009-04-05 60 2009-04-27T02:46:49Z In this paper we develop a recommendation framework to connect image content with communities in online social media. The problem is important because users are looking for useful feedback on their uploaded content, but finding the right community for feedback is challenging for the end user. Social media are characterized by both content and community. Hence, in our approach, we characterize images through three types of features: visual features, user generated text tags, and social interaction (user communication history in the form of comments). A recommendation framework based on learning a latent space representation of the groups is developed to recommend the most likely groups for a given image. The model was tested on a large corpus of Flickr images comprising 15,689 images. Our method outperforms the baseline method, with a mean precision 0.62 and mean recall 0.69. Importantly, we show that fusing image content, text tags with social interaction features outperforms the case of only using image content or tags. Munmun De Choudhury, Hari Sundaram, Yu-Ru Lin, Ajita John, Doree Duncan Seligmann (2009). Connecting Content to Community in Social Media via Image Content, User Tags and User Communication, to appear in Proceedings of the 2009 IEEE International Conference on Multimedia & Expo (ICME 2009). 2009-03-17T22:29:54Z 2009-06-28 61 2009-04-30T18:55:51Z Rich media social networks promote not only creation and consumption of media, but also communication about the posted media item. What causes a conversation to be interesting, that prompts a user to participate in the discussion on a posted video? We conjecture that people will participate in conversations when they find the conversation theme interesting, see comments by people that are known to them or observe an engaging dialogue between two or more people (an absorbing back and forth discussion between two people). Importantly, a conversation that is deemed interesting must be consequential – i.e. it must impact the social network itself. Our framework has three parts: characterizing themes, characterizing participants for determining interestingness and measures of consequences of a conversation deemed to be interesting. First, we detect conversational themes using a sophisticated mixture model approach. Second, we determine interestingness of participants and interestingness of conversations based on a random walk model. Third, we measure the consequence of a conversation by measuring the mutual information of the interesting property with three variables that should be affected by an interesting conversation – participation in related themes, participant cohesiveness and theme diffusion. We have conducted extensive experiments using dataset from the popular video sharing site, YouTube. Our results show that our method of interestingness maximizes the mutual information, and is significantly better (twice as large) than three other baseline methods (number of comments, number of new participants and PageRank based assessment). Munmun De Choudhury, Hari Sundaram, Ajita John, Doree Duncan Seligmann (2009). What Makes Conversations Interesting? Themes, Participants and Consequences of Conversations in Online Social Media, in Proceedings of the 18th International World Wide Web Conference (WWW 2009). 2009-03-17T22:31:07Z 2009-04-20 62 2009-04-30T18:57:05Z The dominant presentation paradigm within academic, business and government organizations involves a linear and uninterrupted progression of bulleted slides introduced by a lone gure in front of a passive audience. This format does little to encourage active discussion or facilitate improvisational presentation of material. In this poster, we propose a presentation framework that encourages deep engagement with ideas and content through a structured authoring approach and an agile real-time presentation interface that supports improvisation and audience interaction. Ryan Spicer and Aisling Kelliher (2008). NextSlidePlease: Navigation and Time Management for Hyperpresentations (poster), in Media, arts, science and technology '09 (MAST 2009). 2009-04-06T16:35:49Z 2009-01-29 63 2009-04-27T02:50:21Z This paper presents JAM (Joint Action Matrix Factorization), a novel framework to summarize social activity from rich media social networks. Summarizing social network activities requires an understanding of the relationships among concepts, users, and the context in which the concepts are used. Our work has three contributions: First, we propose a novel summarization method which extracts the co-evolution on multiple facets of social activity – who (users), what (concepts), how (actions) and when (time), and constructs a context rich summary called "activity theme". Second, we provide an efficient algorithm for mining activity themes over time. The algorithm extracts representative elements in each facet based on their co-occurrences with other facets through specific actions. Third, we propose new metrics for evaluating the summarization results based on the temporal and topological relationship among activity themes. Extensive experiments on real-world Flickr datasets demonstrate that our technique significantly outperforms several baseline algorithms. The results explore nontrivial evolution in Flickr photo-sharing communities. Yu-Ru Lin, Hari Sundaram and Aisling Kelliher (2009). JAM: Joint Action Matrix Factorization for Summarizing a Temporal Heterogeneous Social Network, to appear in Proceedings of International AAAI Conference on Weblogs and Social Media (ICWSM 2009). 2009-04-27T03:27:41Z 2009-05-17 64 2009-04-27T03:27:41Z Online social networking sites such as Flickr and Facebook provide a diverse range of functionalities that foster online communities to create and share media content. In particular, Flickr groups are increasingly used to aggregate and share photos about a wide array of topics or themes. Unlike photo repositories where images are typically organized with respect to static topics, the photo sharing process as in Flickr often results in complex time-evolving social and visual patterns. Characterizing such time-evolving patterns can enrich media exploring experience in a social media repository. In this paper, we propose a novel framework that characterizes distinct time-evolving patterns of group photo streams. We use a non-negative joint matrix factorization approach to incorporate image content features and contextual information, including associated tags, photo owners and post times. In our framework, we consider a group as a mixture of themes – each theme exhibits similar patterns of image content and context. The theme extraction is to best explain the observed image content features and associations with tags, users and times. Extensive experiments on a Flickr dataset suggest that our approach is able to extract meaningful evolutionary patterns from group photo streams. We evaluate our method through a tag prediction task. Our prediction results outperform baseline methods, which indicate the utility of our theme based joint analysis. Yu-Ru Lin, Hari Sundaram, Munmun De Choudhury and Aisling Kelliher (2009). Temporal Patterns in Social Media Streams: Theme Discovery and Evolution Using Joint Analysis of Content and Context, to appear in Proceedings of 2009 IEEE International Conference on Multimedia and Expo (ICME 2009) 2009-04-27T03:29:39Z 2009-06-28 65 2009-04-27T03:29:39Z Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi Konuru, Hari Sundaram and Aisling Kelliher (2009). MetaFac: Commmunity Discovery via Relational Hypergraph Factorization, to appear in Proceedings of the 15th ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD 2009). 2009-04-27T03:35:15Z 2009-06-28 66 2009-04-27T03:35:15Z