enter search term and/or author name
Sybil accounts are fake identities created to unfairly increase the power or resources of a single malicious user. Researchers have long known about the existence of Sybil accounts in online communities such as file-sharing systems, but they have...
Scalable and axiomatic ranking of network role similarity
Ruoming Jin, Victor E. Lee, Longjie Li
Article No.: 3
A key task in analyzing social networks and other complex networks is role analysis: describing and categorizing nodes according to how they interact with other nodes. Two nodes have the same role if they interact with equivalent sets of...
People's personal social networks are big and cluttered, and currently there is no good way to automatically organize them. Social networking sites allow users to manually categorize their friends into social circles (e.g., “circles”...
A separability framework for analyzing community structure
Bruno Abrahao, Sucheta Soundarajan, John Hopcroft, Robert Kleinberg
Article No.: 5
Four major factors govern the intricacies of community extraction in networks: (1) the literature offers a multitude of disparate community detection algorithms whose output exhibits high structural variability across the collection, (2)...
User behavior learning and transfer in composite social networks
Erheng Zhong, Wei Fan, Qiang Yang
Article No.: 6
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization, and recommendation. A major challenge lies in that although many previous works model user behavior from only...