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Published in 2020 at "Applied Network Science"
DOI: 10.1007/s41109-020-00340-9
Abstract: In many real applications of semi-supervised learning, the guidance provided by a human oracle might be “noisy” or inaccurate. Human annotators will often be imperfect, in the sense that they can make subjective decisions, they…
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Keywords:
overlapping community;
noisy pairwise;
community;
pairwise constraints ... See more keywords
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Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.02.133
Abstract: Abstract Community detection has attracted plenty of attention in the field of complex networks recently, since communities often play important roles in networked systems. Overlapping communities are one of the characteristics of social networks, describing…
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Keywords:
overlapping community;
clustering based;
link clustering;
community ... See more keywords
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Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.09.093
Abstract: Abstract Non-negative Matrix Factorization technique has attracted many interests in overlapping community detection due to its performance and interpretability. However, when adapted to discover community structure the intrinsic geometric information of the network graph is…
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Keywords:
graph regularized;
matrix;
factorization;
community detection ... See more keywords
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Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.01.142
Abstract: Abstract Community structure reveals useful information in domains of sociology, biology, physics and computer science. In this work, an overlapping community detection algorithm for large-scale networks based on local expansion is proposed, in which we…
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Keywords:
community;
large scale;
community detection;
overlapping community ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2955161
Abstract: Discovering the underlying overlapping community divisions can guide us in better exploring and predicting the structure and properties of the network. However, a large number of existing methods assume that nodes belong only to a…
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Keywords:
community;
model;
structure;
overlapping community ... See more keywords
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Published in 2017 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2017.2749282
Abstract: Community detection is an important tool to analyze hidden information such as functional module and topology structure in complex networks. Compared with traditional community detection, it is more challenging to find overlapping communities in complex…
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Keywords:
overlapping community;
large scale;
community;
scale networks ... See more keywords
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Published in 2022 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3122018
Abstract: Overlapping community detection is essential for revealing the hidden structure of complex networks. In this work, we present an overlapping community detection algorithm that selects community centers adaptively based on density peaks. The proposed algorithm,…
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Keywords:
density;
algorithm;
overlapping community;
community ... See more keywords
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Published in 2023 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2022.3152579
Abstract: Label propagation-based overlapping community detection algorithms have been widely used in complex networks due to their simplicity and efficiency. However, such algorithms need to randomly choose neighbor nodes and do not fully take the network’s…
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Keywords:
topology;
overlapping community;
community detection;
label propagation ... See more keywords
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Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2945241
Abstract: In the last decade, the detection of overlapping communities has received increasing attention in network science. Among various clustering techniques, the fuzzy clustering has been widely adopted in overlapping community detection, since the soft assignment…
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Keywords:
community;
method;
community detection;
overlapping community ... See more keywords
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Published in 2017 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2017.2692650
Abstract: Finding overlapping communities from multimedia social networks is an interesting and important problem in data mining and recommender systems. However, extant overlapping community discovery with swarm intelligence often generates overlapping community structures with superfluous small…
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Keywords:
overlapping community;
overlapping communities;
detection;
social networks ... See more keywords
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Published in 2019 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2019.2936361
Abstract: Learning graph Laplacian matrices plays a crucial role in network analytics when a meaningful graph is not readily available from the datasets. However, graph Laplacian inference is an ill-posed problem, since multiple solutions may exist…
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Keywords:
community;
community structure;
community based;
learning overlapping ... See more keywords