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 …

Data that encompasses relationships is represented by a graph of interconnected nodes.
Social network analysis is the study of such graphs which examines questions related to …

The expanded domain of expert system applications has risen the impact of modeling and
analysis of community evolution in social networks as an important part of the decision …

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 …

Data confidentiality policies at major social network providers have severely limited
researchers' access to large-scale datasets. The biggest impact has been on the study of …

Social networks are usually drawn from the interactions between individuals, and therefore
are temporal and dynamic in essence. Examining how the structure of these networks …

Abstract Nowadays, Social Networks (SNs) are penetrating into all areas of human life
including relationships, shopping, education and so on and this growing expansion is …

Communities in real life are usually dynamic and community structures evolve over time.
Detecting community evolution provides insight into the underlying behavior of the network …

Social network analysis is a discipline that has emerged to analyze social structures and
information networks to uncover patterns of interaction among the vertices in the network …

Community detection is a crucial task to unravel the intricate dynamics of online social
networks. The emergence of these networks has dramatically increased the volume and …