This paper presents a survey of previous studies done on the problem of tracking community
evolution over time in dynamic social networks. This problem is of crucial importance in the …

With their blistering expansions in recent years, popular on-line social sites such as Twitter,
Facebook and Bebo, have become some of the major news sources as well as the most …

Social networks exhibit a very special property: community structure. Understanding the
network community structure is of great advantages. It not only provides helpful information …

Many practical problems on Mobile networking, such as routing strategies in MANETs,
sensor reprogramming in WSNs and worm containment in online social networks (OSNs) …

Community structure is one of the most commonly observed features of Online Social
Networks (OSNs) in reality. The knowledge of this feature is of great advantage: it not only …

With their blistering expansion in recent years, popular online social sites such as Twitter,
Facebook and Bebo, have become not only one of the most effective channels for viral …

Overlapping community detection, dynamic community identification and community
evolution analysis are the three important problems for social network analysis. It is a …

Recently, social networking sites are offering a rich resource of heterogeneous data. The
analysis of such data can lead to the discovery of unknown information and relations in …

Roughly speaking, clustering evolving networks aims at detecting structurally dense
subgroups in networks that evolve over time. This implies that the subgroups we seek for …

With the change of lifestyle and interests, the people's social activities have a dynamic
changing tendency. Therefore, the static community could not reflect the real activities. For …