Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

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 …

The wide proliferation of various wireless communication systems and wireless devices has
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …

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 …

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 …

Nowadays the analysis of dynamics of and on networks represents a hot topic in the Social
Network Analysis playground. To support students, teachers, developers and researchers …

Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …

The growing availability of multirelational data gives rise to an opportunity for novel
characterization of complex real-world relations, supporting the proliferation of diverse …

The usage of social networks has widely increased in recent years. Humans tend to form
groups, in these networks, based on their similar interests. Such groups are known as …