In this work, we investigate the use of online or “crawling” algorithms to sample large social networks in order to determine the most influential or important individuals wit...
Many software projects fail because they overlook stakeholders or involve the wrong representatives of significant groups. Unfortunately, existing methods in stakeholder analysis...
Soo Ling Lim, Daniele Quercia, Anthony Finkelstein
Serious concerns on privacy protection in social networks have been raised in recent years; however, research in this area is still in its infancy. The problem is challenging due ...
We introduce and study concurrent One-Way Protocols in social networks. The model is motivated by the rise of online social networks and the fast development of automation feature...
—Social network methods are frequently used to analyze networks derived from Open Source Project communication and collaboration data. Such studies typically discover patterns in...
Roozbeh Nia, Christian Bird, Premkumar T. Devanbu,...
—Spam in social tagging systems introduced by some malicious participants has become a serious problem for its global popularizing. Some studies which can be deduced to static us...
Bo Liu, Ennan Zhai, Huiping Sun, Yelu Chen, Zhong ...
Community detection in social networks varying with time is a common yet challenging problem whereby efficient visualization of evolving relationships and implicit hierarchical s...
In this paper we present an application of our incremental graph clustering algorithm (DENGRAPH) on a data set obtained from the music community site Last.fm. The aim of our study...
A referral system is a multiagent system whose member agents are capable of giving and following referrals. The specific cases of interest arise where each agent has a user. The ...
In this paper we present the first framework that allows the creation of Secret Interest Groups (SIGs) in Online Social Networks; SIGs are self managed groups formed outside of t...