Though the sheer volume of data that is collected is immense, it is the rare categories that
are often the most important in many high-impact domains, ranging from financial fraud …

Community detection is of great importance for online social network analysis. The volume,
variety and velocity of data generated by today's online social networks are advancing the …

One of the most interesting topics in the scope of social network analysis is dynamic
community detection, keeping track of communities' evolutions in a dynamic network. This …

随着社交媒体多样性的增加, 实时分析社交网络的需求不断增大, 动态社区发现的研究受到了
广泛的关注. 已有的社区发现综述多是侧重静态社区发现, 以及相关方法的探讨 …

Detecting and tracking communities in dynamic social networks has been a grand
multidisciplinary challenge. There are two key steps in tracking the community evolution of …

We study the problem of clustering nodes in a dynamic graph, where the connections
between nodes and nodes' cluster memberships may change over time, eg, due to …

Local community detection aims to find the communities that a given seed node belongs to.
Most existing works on this problem are based on a very strict assumption that the seed …

While there has been a plethora of approaches for detecting disjoint communities from real-
world complex networks, some methods for detecting overlapping community structures …

Detecting communities in time-evolving/dynamic networks is an important operation used in
many real-world network science applications. While there have been several proposed …

The identification of community structures plays a crucial role in analyzing network topology,
exploring network functions, and mining potential patterns in complex networks. Many …