With the increase of digital interaction, social networks are becoming an essential ingredient
of our life, by progressively becoming the dominant media, eg in influencing political …

Scientific knowledge constitutes a complex system that has recently been the topic of in-
depth analysis. Empirical evidence reveals that little is known about the dynamic aspects of …

–Networks evolve because of local processes–Addition of new nodes, new links or rewiring
of old links–Preferential attachment is used for link changes–The relative frequency of these …

In many criminal cases, forensically collected data contain valuable information about a
suspect's social networks. An investigator often has to manually extract information from the …

The present paper develops a probabilistic model to cluster the nodes of a dynamic graph,
accounting for the content of textual edges as well as their frequency. Vertices are clustered …

Social networks are defined as a set of actors and relationships that represent the
interactions between entities in the network. Since social networks have important roles in …

This paper tackles the problem of detecting temporal content-based user communities from
Twitter. Most existing content-based community detection methods consider the users who …

摘要语义社会网络(Semantic social network, SSN) 是一种由信息节点及链接关系构成的新型
复杂网络, 为此以节点邻接关系为挖掘对象的传统社会网络社区发现算法无法有效处理语义社会 …

Cyber criminals exploit opportunities for anonymity and masquerade in web-based
communication to conduct illegal activities such as phishing, spamming, cyber predation …

Since more and more customers get interested in ecommerce, marketing strategy on the
virtual community becomes a major issue. It is important to help companies to determine …