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Published in 2021 at "Computer Applications in Engineering Education"
DOI: 10.1002/cae.22212
Abstract: The rapid development of online learning networks has resulted in the widespread use of recorded educational contents. While the community structure of those networks may have an influence on the use of contents, research on…
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Keywords:
learning networks;
community;
detection algorithms;
online learning ... See more keywords
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Published in 2024 at "Human Brain Mapping"
DOI: 10.1002/hbm.26669
Abstract: Community structure is a fundamental topological characteristic of optimally organized brain networks. Currently, there is no clear standard or systematic approach for selecting the most appropriate community detection method. Furthermore, the impact of method choice…
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Keywords:
method;
brain;
inference;
community detection ... See more keywords
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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22759
Abstract: Community detection can exhibit the aggregation behavior of complex networks. Network motifs are the fundamental building blocks which can reveal the higher‐order structure of complex networks. Label propagation algorithm has the advantage of approximately linear…
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Keywords:
propagation algorithm;
label propagation;
community detection;
community ... See more keywords
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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22980
Abstract: Recently, hybrid‐order community detection has been proposed for addressing the hypergraph fragmentation issue suffered by the motif‐based higher‐order community detection. However, the existing attempts of hybrid‐order community detection inadvertently damage the lower‐order connectivity pattern and…
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Keywords:
order community;
community;
order connectivity;
order ... See more keywords
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Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-019-03820-y
Abstract: Community detection aims to identify topological structures and discover patterns in complex networks, which presents an important problem of great significance. The problem can be modeled as an NP hard combinatorial optimization problem, to which…
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Keywords:
community;
optimization;
ant colony;
community detection ... See more keywords
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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04597-9
Abstract: Community detection in networks including singed edges is a primary challenge that has already attracted substantial attention. In this paper, we show that this task could be reformulated as a combinatorial optimization concerning the trace…
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Keywords:
community;
nonnegative constraints;
orthogonal nonnegative;
signed networks ... See more keywords
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Published in 2024 at "Neural Computing and Applications"
DOI: 10.1007/s00521-024-09567-4
Abstract: Community detection (CD) is a powerful way to extract meaningful information from networks such as political election networks, biological networks, social networks, technological networks. This study proposes a modified discrete version of Coot bird natural…
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Keywords:
coot method;
coot;
community detection;
problem ... See more keywords
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Published in 2022 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-021-09987-x
Abstract: Community detection aims to partition a set of nodes with more similarities in the set than out of it based on different criteria like neighborhood similarity or vertex connectivity. Most present day community detection methods…
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Keywords:
community;
fuzzy community;
social networks;
model ... See more keywords
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Published in 2024 at "Annals of Operations Research"
DOI: 10.1007/s10479-024-06219-7
Abstract: Over recent years, scholarly interest in universities’ allocation and effective utilisation of financial resources has been growing. When used efficiently, financial resources may improve universities’ quality of research and teaching, and therefore their positions in…
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Keywords:
university rankings;
financial resources;
directed louvain;
university ... See more keywords
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Published in 2017 at "Applied Intelligence"
DOI: 10.1007/s10489-017-0934-z
Abstract: Community mining is one of the most popular issues in social network analysis. Although various changes may occur in a dynamic social network, they can be classified into two categories, gradual changes and abrupt changes.…
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Keywords:
social networks;
community detection;
dynamic social;
change aware ... See more keywords
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Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1386-9
Abstract: Many evolutionary algorithms have been proposed to deal with the problem of community detection in social dynamic networks. Some algorithms need to fix parameters in advance; others use a random process to generate the initial…
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Keywords:
bat algorithm;
community detection;
bat;