Complex Interactions in Social Media

Track Co-chairs:

• Claudia Müller-Birn, Freie Universität Berlin, Germany
• Munmun De Choudhury, Microsoft Research, USA

Track Program Committee:

• Ajita John, Avaya Labs, USA
• Anabel Quaan-Haase, University of Western Ontario, Canada
• Andrés Monroy-Hernández, Harvard/Microsoft Research, USA
• Andrea Kavanaugh, Viriginia Tech, USA
• Bruno Goncalves, Northeastern University, USA
• Christian Körner, TU Graz, Austria
• Chun-Yuen Teng, University of Michigan, USA
• Daniel Gayo-Avello, University of Oviedo, ES
• Daniel Romero, Cornell University, USA
• David Huffaker, Google, USA
• David Laniado, Fundació Barcelona Media/Universitat Pompeu Fabra, Spain
• Debora Donato, Yahoo! Research Barcelona, Spain
• Donghui Feng, eBay Inc., USA
• Ed Chi, Google, USA
• Funda Kivran-Swaine, Rutgers University, USA
• Gerd Stumme, University of Kassel, Germany
• Harith Alani, University of Southampton, UK
• James Howison, University of Texas at Austin, USA
• Jana Diesner, Carnegie Mellon University, USA
• Janette Lehmann, Yahoo Research/Universitat Pompeu Fabra, Spain
• Johan Bollen, Indiana University, USA
• John Henderson, MITRE, USA
• Lei Tang, Yahoo! Labs, USA
• Lei Zhang, University of Illinois at Chicago, USA
• Manos Papagelis, University of Toronto, Canada
• Meeyoung Cha, KAIST, Korea
• Nitin Agarwal, University of Arkansas, USA
• Paolo Massa, Bruno Kessler Foundation, Italy
• Paul Groth, VU University Amsterdam, The Netherlands
• Renaud Lambiotte, University of Namur, Belgium
• Rosta Farzan, Carnegie Mellon University, USA
• Rumi Ghosh, University of Southern California, USA
• Santo Fortunato, Aalto University, Finland
• Scott Golder, Cornell University, USA
• Sean Munson, University of Michigan, USA
• Steffen Rendle, TU Graz, Austria
• Steffen Rendle, University of Konstanz, Germany
• Tobias Ley, University of Tallinn, Estonia
• Virigilio Almeida, Federal University of Minas Gerais, Brasil
• Winter Mason, Stevens Institute of Technology, USA
• Xiaolin Shi, Stanford, USA
• Yu-Ru Lin, Harvard/Northeastern, USA
• Zoltan Gyongyi, Stanford University, USA

Track description:

An emerging trend of the Web has been the widespread growth, expanse and popularity of a number and the size of social media systems (including blogs, wikis, Twitter, Facebook). With their ease of access and participation, social media provides a podium to millions of individuals today to express their thoughts, ideas, opinions, sentiments, interests and so on, exceedingly easily; virtually anytime, anywhere. Social media systems have thereby generalized the conventional notion of a hyperlink to imply connections between individuals in particular, via their shared content, media and concepts. A characteristic property of this new genre of connections is that they promote rich social interactions among individuals involved in the sharing and artifact-building process. However, the growing popularity of these systems might cause some challenges at the same time: whether it is motivating new users to participate, sustaining communities over time, managing social media traffic or deciphering the large information spaces engendering the interactions.

Making sense of these complex interactions has therefore invited significant attention in various research communities in the recent past. This track is geared towards developing deeper insights into the mechanisms of information exchange, user and network characterization as well as the discovery, analysis, and modeling of evolutionary social processes in these systems. It provides a key forum for researchers and industry practitioners to exchange information regarding advancements in the current state of art. Addressing several problems in this space necessitates expertise in a variety of domains, spanning Computer and Information Science, Social Sciences, Psychology, Math and Economics. Hence submissions promoting interdisciplinary collaboration are highly encouraged.

We invite original, high-quality submissions on all aspects of social media.

Topics of interest:

• Information diffusion
• Community evolution
• Social network and social media analytics
• Social information seeking and recommender systems
• Social search and retrieval systems
• Temporal and spatial analysis of social and information networks
• Participatory user behavior
• User modeling
• Information visualization of social data
• Language analytics in social media
• Mobile social media
• Privacy
• Spam, misinformation and malicious activity discovery in social systems
• Social gaming
• Expertise and trust in online social systems
• Crowdsourcing and social media