Community detection in social networks is the process of identifying the cohesive groups of
similar nodes. Detection of these groups can be helpful in many applications, such as …

Quantum social network analysis (QSNA) is a recent advancement in the interdisciplinary
field of quantum computing and social network analysis. This manuscript comprehensively …

Influence maximization is a classic optimization problem studied in the area of social
network analysis and viral marketing. Given a network, it is defined as the problem of finding …

Detecting communities in dynamic evolving networks is of great interest. It has received
tremendous attention from researchers. One promising solution is to update communities …

Traditional methods for influential node identification usually require time consuming
network traversal to select the candidate node set. In this article we propose a new influence …

Recently, the detection of high-quality community has become a hot spot in the research of
social network. Label propagation algorithm (LPA) has been widely concerned since it has …

Social media is utilized to cultivate relationships with stakeholders in nation branding. This
study investigates stakeholder engagement on social media in China's nation branding by …

Label propagation algorithm (LPA) is an extremely fast community detection method and is
widely used in large scale networks. In spite of the advantages of LPA, the issue of its poor …

The detection of community structures is a very crucial research area. The problem of
community detection has received considerable attention from a large portion of the …

Community detection is to partition community nodes into groups with similar attributes and
topologies. In recent years, community detection becomes a research hotspot due to its …