Detection of head experts in social network

机译：检测社交网络中的首席专家

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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.

机译：本文介绍了一种基于本地社区检测和形式概念分析的社交网络中负责人鉴定的方法。有几种鉴定专家的方法，但是大多数方法都试图为特定领域寻找专家。在本文中，我们提出了一种识别首席专家的新颖方法。这个人在后台工作，并且大部分时间都在研究不同领域，他可以为特定领域建立专家团队。

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来源
《2012 4th International Conference on Computational Aspects of Social Networks (CASoN)》|2012年|p.93-98|共6页
会议地点 Sao Carlos(BR);Sao Carlos(BR)
作者
Radvansky Martin; Kudelka Milos; Snasel Vaclav;
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作者单位

V#x0160;

B - Technical University of Ostrava, Ostrava - Poruba, Czech Republic;

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会议组织
原文格式 PDF
正文语种 eng
中图分类算法理论;算法理论;
关键词
detection; formal concept analysis; head expert; social network;

机译：检测;正式概念分析;首席专家;社交网络;;

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Detection of head experts in social network

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