Active link selection for efficient semi-supervised community detection

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چکیده

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Active link selection for efficient semi-supervised community detection

Several semi-supervised community detection algorithms have been proposed recently to improve the performance of traditional topology-based methods. However, most of them focus on how to integrate supervised information with topology information; few of them pay attention to which information is critical for performance improvement. This leads to large amounts of demand for supervised informati...

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Active Semi-Supervised Community Detection Based on Must-Link and Cannot-Link Constraints

Community structure detection is of great importance because it can help in discovering the relationship between the function and the topology structure of a network. Many community detection algorithms have been proposed, but how to incorporate the prior knowledge in the detection process remains a challenging problem. In this paper, we propose a semi-supervised community detection algorithm, ...

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Active Semi-supervised Community Detection Algorithm with Label Propagation

Community detection is the fundamental problem in the analysis and understanding of complex networks, which has attracted a lot of attention in the last decade. Active learning aims to achieve high accuracy using as few labeled data as possible. However, so far as we know, active learning has not been applied to detect community to improve the performance of discovering community structure of c...

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An efficient semi-supervised community detection framework in social networks

Community detection is an important tasks across a number of research fields including social science, biology, and physics. In the real world, topology information alone is often inadequate to accurately find out community structure due to its sparsity and noise. The potential useful prior information such as pairwise constraints which contain must-link and cannot-link constraints can be obtai...

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ژورنال

عنوان ژورنال: Scientific Reports

سال: 2015

ISSN: 2045-2322

DOI: 10.1038/srep09039