Community detection is a significant but challenging task in the field of social network analysis. Many effective methods have been proposed to solve this ...
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Jan 13, 2024 · Community detection is a significant but challenging task in the field of social network analysis. Many effective methods have been proposed ...
Abstract. Community detection is a significant but challenging task in the field of social network analysis. Many effective methods have been proposed to ...
Jul 4, 2022 · In this study, we propose a novel method for community detection by considering both topology and node features. First, we extend the WCC metric ...
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The purpose of community detection in attributed social networks is to discover communities with not only homogeneous node properties but also adherent ...
Dec 20, 2019 · In this paper we aim at describing and clarifying the overall situation in the field of community detection in node-attributed social networks.
Jan 29, 2021 · Community detection techniques are useful for social media algorithms to discover people with common interests and keep them tightly connected.
Jul 7, 2023 · Community detection in social networks is the process of identifying groups or communities of nodes in a network that are more densely connected ...
In this paper, we propose a new joint community detection criterion that uses both the network adjacency matrix and the node features. The idea is that by ...
When detecting communities, there are two possible sources of information one can use: the network structure, and the features and attributes of nodes. Even ...