Results 21 to 30 of about 1,651,191 (277)
Estimating Mixed Memberships in Directed Networks by Spectral Clustering
Entropy, 2023 Community detection is an important and powerful way to understand the latent structure of complex networks in social network analysis. This paper considers the problem of estimating community memberships of nodes in a directed network, where a node may ...
Huan Qing
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Distributed Community Detection in Dynamic Graphs [PDF]
, 2013 Inspired by the increasing interest in self-organizing social opportunistic networks, we investigate the problem of distributed detection of unknown communities in dynamic random graphs.
A. Chaintreau +12 more
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Embedding-based Silhouette community detection [PDF]
Machine Learning, 2020 AbstractMining complex data in the form of networks is of increasing interest in many scientific disciplines. Network communities correspond to densely connected subnetworks, and often represent key functional parts of real-world systems. This paper proposes the embedding-based Silhouette community detection (SCD), an approach for detecting communities,
Blaž Škrlj, Jan Kralj, Nada Lavrač
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From community detection to community profiling [PDF]
Proceedings of the VLDB Endowment, 2017 Most existing community-related studies focus on detection, which aim to find the community membership for each user from user friendship links. However, membership alone, without a complete profile of what a community is and how it interacts with other communities, has limited applications.
Cai, Hongyun +4 more
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Power Grid Partitioning Based on Functional Community Structure
IEEE Access, 2019 Network partitioning is a popular research topic. Not all available partitioning methods are equally suitable for power grids. Community detection is a critical issue in complex network theory, and power grid is a typical type of complex network.
Chuanzhi Zhao +5 more
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A linear time series analysis of carbon price via a complex network approach
Frontiers in Physics, 2022 Identifying the essential characteristics and forecasting carbon prices is significant in promoting green transformation. This study transforms the time series into networks based on China’s pilots by using the visibility graph, mining more information ...
Yuxia Hu +3 more
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A Relationships-based Algorithm for Detecting the Communities in Social Networks [PDF]
International Journal of Web Research, 2022 Social network research analyzes the relationships between interactions, people, organizations, and entities. With the developing reputation of social media, community detection is drawing the attention of researchers.
Sevda Fotovvat +2 more
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A similarity-based community detection method with multiple prototype representation [PDF]
, 2015 Communities are of great importance for understanding graph structures in social networks. Some existing community detection algorithms use a single prototype to represent each group.
Martin, Arnaud, Pan, Quan, Zhou, Kuang
core +4 more sources
Large Scale Community Detection Using a Small World Model
Applied Sciences, 2017 In a social network, small or large communities within the network play a major role in deciding the functionalities of the network. Despite of diverse definitions, communities in the network may be defined as the group of nodes that are more densely ...
Ranjan Kumar Behera +4 more
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Simulating Subject Communities in Case Law Citation Networks
Frontiers in Physics, 2021 We propose and evaluate generative models for case law citation networks that account for legal authority, subject relevance, and time decay. Since Common Law systems rely heavily on citations to precedent, case law citation networks present a special ...
Jerrold Soh Tsin Howe
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