Our research is in large-scale distributed systems and social computing/computational sociology. Our research cycle involves measuring characteristics of real systems (such as online social communities, physics collaborations, or peer-to-peer systems), designing algorithms and building systems to solve problems in large distributed systems, and experimentally evaluating our solutions. Recently we've been using tools from distributed systems to understand human behavior patterns in online communities that are harder to detect in real life, such as unethical behaviors.

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DSG Members

Sreeja Nair

PhD Student

Kin Ng

PhD Student

DSG Alumni

Nazim Choudhury

Postdoc (2021)

Essa Alhazmi

PhD (2019)

Imrul Kayes

PhD (2015)

Jeremy Blackburn

PhD (2014)

Justin Bailey

MS (2011)

Paul Anderson

MS (2010)

Michael Stillo

MS (2010)

Shyamala Doraimani

MS (2007)

Sachae Soso

REU student (Summer 2009)


Below is a comprehensive list of our publications, sorted by date. To organize the list differently, use the buttons below.



Current Projects


Past Projects


We examine several hypotheses about team formation and team performance using a large, longitudinal dataset from team-based online gaming environment. Specifically, we are collecting and analyzing data and model team behavior to understand how teams form and the determinants of successful performance. This research is likely to add significant insights into the factors that shape the choice of individuals for one or another team and how these factors produce teams that are more or less successful.

Collective intelligence has been harnessed recently to create new collaborative forms that were not previously achievable. This socially-emergent intelligence appears in collaborative management and indexing of information, authoring encyclopedia articles, participating in blogs, tagging or commenting photographs or videos. (Funded by NSF, CNS, 0952420)

This research will lead to a self-organizing, self-adaptive, community-oriented, two-tier network infrastructure for mobile social computing. The mobile human-centric tier runs mobile applications and collects geo-social context information. (Funded by NSF,CNS, 0831785)

This research plans to evaluate how online unethical behavior spreads and what are the mechanisms that can limit the contagion. Our tentative system for quantitative experimentation is Yahoo! Answers, but other datasets will be investigated, too. (Funded by Yahoo!)

Run-time monitors are a common and pervasive mechanism for ensuring that software and systems adhere to security policies. Anti-virus and anti-spyware programs, personal firewalls, intrusion-detection tools, Java's stack inspection, and even mechanisms that trap operatingsystem exceptions in order to show a ?blue screen of death? can all be thought of as run-time monitors. (Funded by NSF, CNS, 0716343)

This project has focused on socially-aware applications and distributed systems, and ways to create systems that can manage huge amounts of data. The technical challenge of Tango Panopticon, she said, is to create a system that expands to handle the potential load of a simultaneous, global event whose magnitude will not be fully known until the minute it happens. (Funded by College of Engineering and College of the Arts)

Distributed Systems Group

ENB 328
Department of Computer Science and Engineering
University of South Florida
Tampa, Florida
United States