A New Graph Drawing Scheme for Social Network

With the development of social networks, people have started to use social network tools to record their life and work more and more frequently. How to analyze social networks to explore potential characteristics and trend of social events has been a hot research topic. In order to analyze it effect...

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Main Authors: Eric Ke Wang, Futai Zou
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/930314
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author Eric Ke Wang
Futai Zou
author_facet Eric Ke Wang
Futai Zou
author_sort Eric Ke Wang
collection DOAJ
description With the development of social networks, people have started to use social network tools to record their life and work more and more frequently. How to analyze social networks to explore potential characteristics and trend of social events has been a hot research topic. In order to analyze it effectively, a kind of techniques called information visualization is employed to extract the potential information from the large scale of social network data and present the information briefly as visualized graphs. In the process of information visualization, graph drawing is a crucial part. In this paper, we study the graph layout algorithms and propose a new graph drawing scheme combining multilevel and single-level drawing approaches, including the graph division method based on communities and refining approach based on partitioning strategy. Besides, we compare the effectiveness of our scheme and FM3 in experiments. The experiment results show that our scheme can achieve a clearer diagram and effectively extract the community structure of the social network to be applied to drawing schemes.
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publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-017dbfae9e2f4127856156bcaeb039a62025-08-20T02:03:24ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/930314930314A New Graph Drawing Scheme for Social NetworkEric Ke Wang0Futai Zou1Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, ChinaSchool of Information Security Engineering, Shanghai Jiaotong University, Shanghai 518055, ChinaWith the development of social networks, people have started to use social network tools to record their life and work more and more frequently. How to analyze social networks to explore potential characteristics and trend of social events has been a hot research topic. In order to analyze it effectively, a kind of techniques called information visualization is employed to extract the potential information from the large scale of social network data and present the information briefly as visualized graphs. In the process of information visualization, graph drawing is a crucial part. In this paper, we study the graph layout algorithms and propose a new graph drawing scheme combining multilevel and single-level drawing approaches, including the graph division method based on communities and refining approach based on partitioning strategy. Besides, we compare the effectiveness of our scheme and FM3 in experiments. The experiment results show that our scheme can achieve a clearer diagram and effectively extract the community structure of the social network to be applied to drawing schemes.http://dx.doi.org/10.1155/2014/930314
spellingShingle Eric Ke Wang
Futai Zou
A New Graph Drawing Scheme for Social Network
The Scientific World Journal
title A New Graph Drawing Scheme for Social Network
title_full A New Graph Drawing Scheme for Social Network
title_fullStr A New Graph Drawing Scheme for Social Network
title_full_unstemmed A New Graph Drawing Scheme for Social Network
title_short A New Graph Drawing Scheme for Social Network
title_sort new graph drawing scheme for social network
url http://dx.doi.org/10.1155/2014/930314
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AT futaizou anewgraphdrawingschemeforsocialnetwork
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