The modern science of networks has made significant advancement in the modeling of
complex real-world systems. One of the most important features in these networks is the …

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 …

New technologies have led to vast troves of large and complex data sets across many
scientific domains and industries. People routinely use machine learning techniques not …

Social cybermedia has greatly changed the world's perspective on information sharing and
propagation. These platforms build virtual user communities in the form of followings or …

Learning from social-media conversations has gained significant attention recently because
of its applications in areas like rumor detection. In this research, we propose a new way to …

Community is a fundamental and highly desired pattern in a Large-scale Undirected
Network (LUN). Community detection is a vital issue when LUN representation learning is …

The spatial structures of cities have changed dramatically with rapid socio-economic
development in ways that are not well understood. To support urban structural analysis and …

Computational Politics is the study of computational methods to analyze and moderate
users' behaviors related to political activities such as election campaign persuasion, political …

The microblogging service Twitter is one of the world's most popular online social networks
and assembles a huge amount of data produced by interactions between users. A careful …

Community detection is an important task in social network analysis. It is generally based on
the links of a static network, where groups of connected nodes can be found. Real-world …