Several research studies have shown that complex networks modeling real-world
phenomena are characterized by striking properties:(i) they are organized according to …

Community structure is one of the most relevant features encountered in numerous real-
world applications of networked systems. Despite the tremendous effort of a large …

With the advent of ubiquitous sensing and networking, future social networks turn into cyber-
physical interactions, which are attached with associated social attributes. Therefore, social …

Subspace clustering is an extension of conventional clustering techniques that seeks to find
clusters in different subspaces within a data set with higher dimensions. But, recent research …

Many evolutionary algorithms have been proposed to deal with the problem of community
detection in social dynamic networks. Some algorithms need to fix parameters in advance; …

The amount of movie has increased to become more congested; therefore, to find a movie
what users are looking for through the existing technologies are very hard. For this reason …

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 …

摘要在线社会网络研究中, 动态隐含社区或群组结构的发现及演化探测是一个十分关键的核心
问题, 它对于在中观(Mesoscopic) 视图观察在线社会网络隐结构特征, 预测演化趋势 …

With the continuous development of technologies such as the Internet of Things (IoT) and
cloud computing, sensors collect and store large amounts of sensory data, realizing real …

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 …