Community detection, a fundamental task for network analysis, aims to partition a network
into multiple sub-structures to help reveal their latent functions. Community detection has …

Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

A large-scale dynamically weighted directed network (DWDN) involving numerous entities
and massive dynamic interaction is an essential data source in many big-data-related …

A central issue in rumor surveillance and management is decoding the complex dynamics of
rumor propagation, with an emphasis on predicting diffusion cascades. Recent studies focus …

Given a query graph and a database of corpus graphs, a graph retrieval system aims to
deliver the most relevant corpus graphs. Graph retrieval based on subgraph matching has a …

Recent development in the area of social networks has sought attention of the researchers
to crunch and analyse the data and information of the users to retrieve relevant knowledge …

By revealing potential relationships between users, link prediction has long been
considered as a fundamental research issue in singed social networks. The key of link …

Performance improvement of similarity based link prediction is an important task in social
network analysis as an active research. The local, global and community information …

Network evolution is one of the emerging research directions in the field of social network
analysis, where link prediction plays a crucial role in modeling network dynamics in social …

The Internet of People (IoP) is a human-centric computing paradigm, where the people are
not considered merely as end users, but become the center of the computing architecture …