社交网络中头部专家的检测

2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN) Pub Date : 2012-11-01 DOI:10.1109/CASoN.2012.6412384

M. Radvanský, M. Kudelka, V. Snás̃el

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引用次数: 1

摘要

介绍了一种基于局部社区检测和形式概念分析的社会网络首领专家识别方法。鉴定专家的方法有几种，但大多数方法都试图找到某一特定领域的专家。本文提出了一种识别首席专家的新方法。这个人在后台，大多数时候他在不同的研究领域工作，他可以为特定领域建立专家团队。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Detection of head experts in social network

This paper introduces a method for head expert identification in a social network based on local community detection and formal concept analysis. There are several methods for expert identification, but most of these methods try to find an expert for a particular area. In this paper, we propose a novel approach to identify a head expert. This person is in the background and most of the time he is working across different areas of research, and he can establish teams of experts for particular areas.

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2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)

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