2022
DOI: 10.1016/j.eswa.2022.116607
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A novel relevance-based information interaction model for community detection in complex networks

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Cited by 20 publications
(3 citation statements)
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“…Each of the past research initiatives analysed the network's content from a unique perspective and then used this analysis to discover communities by considering the topological information of a network (Ullah et al, 2022). Recent trends in the practical application of community detection in network structure especially using the Louvain and Leiden algorithm, are in healthcare (Chatterjee & Sanjeev, 2023;Evans et al, 2022;Jin et al, 2020;Kabir et al, 2019;Kramer et al, 2020;Nallusamy & Easwarakumar, 2023;Nicolini et al, 2017;Rahiminejad et al, 2019), social network (Chessa et al, 2023;Irsyad & Rakhmawati, 2019;Li et al, 2023;Park & Kwon, 2022;Torene et al, 2022), telecommunication (Ding et al, 2022;Zu et al, 2021), economic (Han et al, 2018;, intelligent (Karyotis et al, 2018;Singhal et al, 2020) and nature (Peeples & Bischoff, 2023;Xie et al, 2022).…”
Section: Hierarchical Clusteringmentioning
confidence: 99%
“…Each of the past research initiatives analysed the network's content from a unique perspective and then used this analysis to discover communities by considering the topological information of a network (Ullah et al, 2022). Recent trends in the practical application of community detection in network structure especially using the Louvain and Leiden algorithm, are in healthcare (Chatterjee & Sanjeev, 2023;Evans et al, 2022;Jin et al, 2020;Kabir et al, 2019;Kramer et al, 2020;Nallusamy & Easwarakumar, 2023;Nicolini et al, 2017;Rahiminejad et al, 2019), social network (Chessa et al, 2023;Irsyad & Rakhmawati, 2019;Li et al, 2023;Park & Kwon, 2022;Torene et al, 2022), telecommunication (Ding et al, 2022;Zu et al, 2021), economic (Han et al, 2018;, intelligent (Karyotis et al, 2018;Singhal et al, 2020) and nature (Peeples & Bischoff, 2023;Xie et al, 2022).…”
Section: Hierarchical Clusteringmentioning
confidence: 99%
“…In order to further test the rationality of the DRIIM algorithm, we compare it with DLPA [18] and RIIM [7] on the above networks. The DLPA algorithm is obtained by extending a famous algorithm, namely label propagation algorithm (LPA) [19].…”
Section: The Comparison With Other Algorithmsmentioning
confidence: 99%
“…In this paper, we extend the community detection algorithm (RIIM) [7] in undirected networks to directed networks, and propose a new community detection algorithm (DRIIM) applicable to directed networks to solve the above problem. The DRIIM algorithm considers the local and global information of nodes as well as the similarity between nodes.…”
Section: Introductionmentioning
confidence: 99%