A comprehensive literature review on community detection: Approaches and applications
Community detection has been designed as an axial field in Complex Network Analysis
(CNA), since it allows to reveal cohesive and meaningful sub-graphs, recognize the …
(CNA), since it allows to reveal cohesive and meaningful sub-graphs, recognize the …
Comparative perturbation-based modeling of the SARS-CoV-2 spike protein binding with host receptor and neutralizing antibodies: Structurally adaptable allosteric …
GM Verkhivker, S Agajanian, DY Oztas, G Gupta - Biochemistry, 2021 - ACS Publications
In this study, we used an integrative computational approach to examine molecular
mechanisms and determine functional signatures underlying the role of functional residues …
mechanisms and determine functional signatures underlying the role of functional residues …
A three-stage algorithm on community detection in social networks
X You, Y Ma, Z Liu - Knowledge-Based Systems, 2020 - Elsevier
Detecting communities or clusters of networks is a considerable interesting problem in
various fields and interdisciplinary subjects in recent years. Tens of hundreds of methods …
various fields and interdisciplinary subjects in recent years. Tens of hundreds of methods …
Systematic literature review on identifying influencers in social networks
SF Seyfosadat, R Ravanmehr - Artificial Intelligence Review, 2023 - Springer
Considering the ever-increasing size and complexity of social networks, develo**
methods to extract meaningful knowledge and information from users' vast amounts of data …
methods to extract meaningful knowledge and information from users' vast amounts of data …
Hybrid approach for detecting propagandistic community and core node on social networks
People share their views and daily life experiences on social networks and form a network
structure. The information shared on social networks can be unreliable, and detecting such …
structure. The information shared on social networks can be unreliable, and detecting such …
A novel relevance-based information interaction model for community detection in complex networks
Identification of patronized communities in a complex network structure is an essential
aspect of network analysis. These identifications really become challenging when we come …
aspect of network analysis. These identifications really become challenging when we come …
Social capital and farmers' leadership in Iranian rural communities: Application of social network analysis
This study aimed to analyze the role of social capital and leadership in improving the
adaptive capacity of Iranian pistachio farmers by using Social Network Analysis (SNA). The …
adaptive capacity of Iranian pistachio farmers by using Social Network Analysis (SNA). The …
Network analysis based on important node selection and community detection
The stability and robustness of a complex network can be significantly improved by
determining important nodes and by analyzing their tendency to group into clusters. Several …
determining important nodes and by analyzing their tendency to group into clusters. Several …
A divide and agglomerate algorithm for community detection in social networks
Z Liu, Y Ma - Information Sciences, 2019 - Elsevier
Communities, or clusters, are usually subgraphs of nodes densely interconnected but
sparsely linked with others. The nodes with similar properties or behaviors are more likely to …
sparsely linked with others. The nodes with similar properties or behaviors are more likely to …
Community-based influence maximization in location-based social network
Influence maximization, as one of the major problems in Location-based Social Networks
(LBSN), aims to determine a subset of influential users to maximize the influence spread …
(LBSN), aims to determine a subset of influential users to maximize the influence spread …