A three-stage algorithm for local community detection based on the high node importance ranking in social networks

S Aghaalizadeh, ST Afshord, A Bouyer… - Physica A: Statistical …, 2021 - Elsevier
Community detection aims to discover and reveal community structures in complex
networks. Some community detection method is called local methods that only apply local …

A fast community detection algorithm based on reconstructing signed networks

C Xia, Y Luo, L Wang, HJ Li - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
Signed networks depict the individual cooperative or hostile relationship in a population,
which can help to deeply mine the characteristics of complex networks and predict the …

Learning concept interestingness for identifying key structures from social networks

J Gao, F Hao, Z Pei, G Min - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
Identifying key structures from social networks that aims to discover hidden patterns and
extract valuable information is an essential task in the network analysis realm. These …

Complex networks identification using Bayesian model with independent Laplace prior

Y Zhang, Y Li, W Deng, K Huang… - Chaos: An Interdisciplinary …, 2021 - pubs.aip.org
Identification of complex networks from limited and noise contaminated data is an important
yet challenging task, which has attracted researchers from different disciplines recently. In …

Community detection by node betweenness and similarity in complex network

C Feng, J Ye, J Hu, HL Yuan - Complexity, 2021 - Wiley Online Library
Community detection of complex networks has always been a hot issue. With the mixed
parameters μ increase in network complexity, community detection algorithms need to be …

Overlapping attributed graph clustering using mixed strategy games

M Kumar, R Gupta - Applied Intelligence, 2021 - Springer
Unlike a simple network with just nodes and edges in between them, the real-world
networks can contain much more, such as a set of attributes associated with every node in …

Fast graph clustering in large-scale systems based on spectral coarsening

D Sun - International Journal of Modern Physics B, 2021 - World Scientific
Complex networks depict the individual relationship in a population, which can help to
deeply mine the characteristics of complex networks and predict the potential collaboration …

An efficient improved routing strategy for multilayer networks

J Ma, M Li, Y Li, X Xu, W Han, Z Dong… - Modern Physics Letters …, 2021 - World Scientific
Traffic dynamics of multilayer networks draws continuous attention from different
communities since many systems are actually proved to have a multilayer structure. Since …

Enhancing traffic capacity of two-layer networks by link deletion

J Ma, Y Zhou, J Su, L Song, Z Dong, Z Qi - Pramana, 2021 - Springer
Two-layer or multilayer networks can more accurately reveal the transmission dynamics of
the actual network and increase the traffic capacity. Therefore, we considered optimising the …

Community Search in a Multi-Attributed Graph using Collaborative Similarity Measure and Node Filtering

N Javaid, KU Khan, AM Khattak… - 2021 15th International …, 2021 - ieeexplore.ieee.org
Community search is a well studied problem in literature to find similar and strongly
connected vertices in a graph for a give set of query vertices. It can assist in finding similar …