Structural Holes in Directed Fuzzy Social Networks

The structural holes have been a key issue in fuzzy social network analysis. For undirected fuzzy social networks where edges are just present or absent undirected fuzzy relation and have no more information attached, many structural holes measures have been presented, such as key fuzzy structural h...

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Main Authors: Renjie Hu, Guangyu Zhang
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/452063
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spelling doaj-750543ca801d4529bba4c8c8378e869b2020-11-24T23:21:13ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/452063452063Structural Holes in Directed Fuzzy Social NetworksRenjie Hu0Guangyu Zhang1School of Management, Guangdong University of Technology, No. 161 Yinglong Road, Tianhe District, Guangzhou 510520, ChinaSchool of Management, Guangdong University of Technology, No. 161 Yinglong Road, Tianhe District, Guangzhou 510520, ChinaThe structural holes have been a key issue in fuzzy social network analysis. For undirected fuzzy social networks where edges are just present or absent undirected fuzzy relation and have no more information attached, many structural holes measures have been presented, such as key fuzzy structural holes, general fuzzy structural holes, strong fuzzy structural holes, and weak fuzzy structural holes. There has been a growing need to design structural holes measures for directed fuzzy social networks, because directed fuzzy social networks where edges are attached by directed fuzzy relation would contain rich information. In this paper, we extend structural holes theory to directed fuzzy social network and propose the algorithm of unidirectional fuzzy structural holes and bidirectional fuzzy structural holes, which unveil more structural information of directed fuzzy social networks. Furthermore, we investigate the validness of the algorithm by illustrating this method to a case called G-Y Research Team and obtain reliable results, which provide strong evidences of the new measure’s utility.http://dx.doi.org/10.1155/2014/452063
collection DOAJ
language English
format Article
sources DOAJ
author Renjie Hu
Guangyu Zhang
spellingShingle Renjie Hu
Guangyu Zhang
Structural Holes in Directed Fuzzy Social Networks
Journal of Applied Mathematics
author_facet Renjie Hu
Guangyu Zhang
author_sort Renjie Hu
title Structural Holes in Directed Fuzzy Social Networks
title_short Structural Holes in Directed Fuzzy Social Networks
title_full Structural Holes in Directed Fuzzy Social Networks
title_fullStr Structural Holes in Directed Fuzzy Social Networks
title_full_unstemmed Structural Holes in Directed Fuzzy Social Networks
title_sort structural holes in directed fuzzy social networks
publisher Hindawi Limited
series Journal of Applied Mathematics
issn 1110-757X
1687-0042
publishDate 2014-01-01
description The structural holes have been a key issue in fuzzy social network analysis. For undirected fuzzy social networks where edges are just present or absent undirected fuzzy relation and have no more information attached, many structural holes measures have been presented, such as key fuzzy structural holes, general fuzzy structural holes, strong fuzzy structural holes, and weak fuzzy structural holes. There has been a growing need to design structural holes measures for directed fuzzy social networks, because directed fuzzy social networks where edges are attached by directed fuzzy relation would contain rich information. In this paper, we extend structural holes theory to directed fuzzy social network and propose the algorithm of unidirectional fuzzy structural holes and bidirectional fuzzy structural holes, which unveil more structural information of directed fuzzy social networks. Furthermore, we investigate the validness of the algorithm by illustrating this method to a case called G-Y Research Team and obtain reliable results, which provide strong evidences of the new measure’s utility.
url http://dx.doi.org/10.1155/2014/452063
work_keys_str_mv AT renjiehu structuralholesindirectedfuzzysocialnetworks
AT guangyuzhang structuralholesindirectedfuzzysocialnetworks
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