With the rapid development of information technologies, various big graphs are prevalent in
many real applications (eg, social media and knowledge bases). An important component of …

Due to the ever-growing amount of data, computer-aided methods and systems to detect
weak signals and trends for corporate foresight are in increasing demand. To this day, many …

Methods for document clustering and topic modelling in online social networks (OSNs) offer
a means of categorising, annotating and making sense of large volumes of user generated …

Given a graph G and a vertex q∈ G, the community search query returns a subgraph of G
that contains vertices related to q. Communities, which are prevalent in attributed graphs …

Recently, the topic of community search (CS) has gained plenty of attention. Given a query
vertex, CS looks for a dense subgraph that contains it. Existing studies mainly focus on …

The proliferation of social networking services has resulted in a rapid growth of their user
base, spanning across the world. The collective information generated from these online …

Many complex systems are composed of coupled networks through different layers, where
each layer represents one of many possible types of interactions. A fundamental question is …

Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …

In this paper, we investigate the problem of (k, r)-core which intends to find cohesive
subgraphs on social networks considering both user engagement and similarity …

Considering the potential and popularity of social media it is important to inquire into its use
in learning. In this study the implementation of the activity carried out in Twitter with higher …