A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions
Sensibly highlighting the hidden structures of many real-world networks has attracted
growing interest and triggered a vast array of techniques on what is called nowadays …
growing interest and triggered a vast array of techniques on what is called nowadays …
Community detection based on modularity and an improved genetic algorithm
Complex networks are widely applied in every aspect of human society, and community
detection is a research hotspot in complex networks. Many algorithms use modularity as the …
detection is a research hotspot in complex networks. Many algorithms use modularity as the …
Nature-inspired optimization algorithms for community detection in complex networks: a review and future trends
DA Abduljabbar, SZM Hashim… - Telecommunication …, 2020 - Springer
Over the past couple of decades, the research area of network community detection has
seen substantial growth in popularity, leading to a wide range of researches in the literature …
seen substantial growth in popularity, leading to a wide range of researches in the literature …
Community detection in large-scale social networks: state-of-the-art and future directions
Community detection is an important research area in social networks analysis where we
are concerned with discovering the structure of the social network. Detecting communities is …
are concerned with discovering the structure of the social network. Detecting communities is …
Placement of IoT services in fog environment based on complex network features: a genetic-based approach
The growth of the Internet of Things (IoT) has caused an ever-increasing number of devices
to be added to the network. Fog computing is an emerging technology that aims to overcome …
to be added to the network. Fog computing is an emerging technology that aims to overcome …
Overlapping communities detection of social network based on hybrid C-means clustering algorithm
Y Lei, Y Zhou, J Shi - Sustainable Cities and Society, 2019 - Elsevier
As an important part of social computing, community detection has been attached to more
and more importance in social network analysis. Overlapping communities detection, one of …
and more importance in social network analysis. Overlapping communities detection, one of …
A hybrid artificial immune network for detecting communities in complex networks
One of the challenging problems when studying complex networks is the detection of sub-
structures, called communities. Network communities emerge as dense parts, while they …
structures, called communities. Network communities emerge as dense parts, while they …
A new genetic algorithm for community detection using matrix representation method
K Chen, W Bi - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
Community structures contain important information of social networks. In most applications,
mining community structures would be helpful for people to analyze networks. Typically …
mining community structures would be helpful for people to analyze networks. Typically …
SocialRoute: A low-cost opportunistic routing strategy based on social contacts
ACSA Domingues, H de Souza Santana, FA Silva… - Ad Hoc Networks, 2022 - Elsevier
The study of social characteristics in human interactions is a fundamental topic in mobile
networks. By taking advantage of this type of information, we can leverage the knowledge …
networks. By taking advantage of this type of information, we can leverage the knowledge …
Digital forensics 2.0: A review on social networks forensics
MR Keyvanpour, M Moradi, F Hasanzadeh - Computational Intelligence in …, 2014 - Springer
Abstract Nowadays, Social Networks (SNs) are penetrating into all areas of human life
including relationships, shopping, education and so on and this growing expansion is …
including relationships, shopping, education and so on and this growing expansion is …