In this paper, a new algorithm is proposed to detect communities based on the interests of the nodes rather than their distances from each other. The paper ...
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In this paper, a new algorithm is proposed to detect communities based on the interests of the nodes rather than their distances from each other. The paper ...
In this paper, a new algorithm is proposed to detect communities based on the interests of the nodes rather than their distances from each other. The paper ...
Detecting communities in social networks based on cliques
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In this paper we propose a new approach to find a community structure in networks. Our approach is more stable, accurate and effective.
Jun 22, 2021 · We can use community detection to identify users with a high number of degrees (connections) and see how far their reach can travel in the network.
Communities can be found in many types of networks. They show up in social networks (cliques, common interests, “old boy” networks), biological networks ...
In this paper, we propose a framework for detecting overlapping semantic communities and their influential members.
Jan 29, 2021 · Community detection techniques are useful for social media algorithms to discover people with common interests and keep them tightly connected.
Aug 12, 2024 · This paper provides a systematic mapping of machine learning-based community detection approaches. The study aimed to show the type of communities in social ...
This paper proposes a framework for node clustering in computerized social networks according to common interests. Communities in such networks are mainly ...