Comparison of Graphic Interface with Overlapping Community Structures
碩士 === 國立交通大學 === 工業工程與管理系所 === 105 === In recent years, with the prevalence of social network, more and more enterprises are concerned about social network analysis, and use this data to carry out many commercial activity. In general, the results of a social network analysis can be presented in num...
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ndltd-TW-105NCTU50311092019-05-16T00:08:10Z http://ndltd.ncl.edu.tw/handle/ypc5pj Comparison of Graphic Interface with Overlapping Community Structures 重疊群體視覺化介面之比較 Yen, Ni-Ying 顏妮瑩 碩士 國立交通大學 工業工程與管理系所 105 In recent years, with the prevalence of social network, more and more enterprises are concerned about social network analysis, and use this data to carry out many commercial activity. In general, the results of a social network analysis can be presented in numerical or graphical ways, and then graphics can let people who want to understand the social network understand the relationships between social networks quickly and clearly. In past related research, there are many ways to draw social network graphics, such as euler diagrams, node-link diagrams and so on, but there are fewer thesis focused on the case of the different groups size, and analyzed different social network graphics effect. Therefore, the purpose of this study was to introduce four social network graphs and organize its advantages and disadvantages, and then discuss the graphics settings. Finally, this thesis used the questionnaire investigation to collect the results of different graphics. The results included the graphs drawn by the three groups (small size, medium size and large size) and compared graphs by Analysis of variance (ANOVA). Most important of all, according to statistical analysis results obtained, this study presents suggestions for what graphics to use for different groups of community network data. Li, Rong-Kwei 李榮貴 2017 學位論文 ; thesis 37 zh-TW |
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碩士 === 國立交通大學 === 工業工程與管理系所 === 105 === In recent years, with the prevalence of social network, more and more enterprises are concerned about social network analysis, and use this data to carry out many commercial activity. In general, the results of a social network analysis can be presented in numerical or graphical ways, and then graphics can let people who want to understand the social network understand the relationships between social networks quickly and clearly. In past related research, there are many ways to draw social network graphics, such as euler diagrams, node-link diagrams and so on, but there are fewer thesis focused on the case of the different groups size, and analyzed different social network graphics effect.
Therefore, the purpose of this study was to introduce four social network graphs and organize its advantages and disadvantages, and then discuss the graphics settings. Finally, this thesis used the questionnaire investigation to collect the results of different graphics. The results included the graphs drawn by the three groups (small size, medium size and large size) and compared graphs by Analysis of variance (ANOVA). Most important of all, according to statistical analysis results obtained, this study presents suggestions for what graphics to use for different groups of community network data.
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author2 |
Li, Rong-Kwei |
author_facet |
Li, Rong-Kwei Yen, Ni-Ying 顏妮瑩 |
author |
Yen, Ni-Ying 顏妮瑩 |
spellingShingle |
Yen, Ni-Ying 顏妮瑩 Comparison of Graphic Interface with Overlapping Community Structures |
author_sort |
Yen, Ni-Ying |
title |
Comparison of Graphic Interface with Overlapping Community Structures |
title_short |
Comparison of Graphic Interface with Overlapping Community Structures |
title_full |
Comparison of Graphic Interface with Overlapping Community Structures |
title_fullStr |
Comparison of Graphic Interface with Overlapping Community Structures |
title_full_unstemmed |
Comparison of Graphic Interface with Overlapping Community Structures |
title_sort |
comparison of graphic interface with overlapping community structures |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/ypc5pj |
work_keys_str_mv |
AT yenniying comparisonofgraphicinterfacewithoverlappingcommunitystructures AT yánnīyíng comparisonofgraphicinterfacewithoverlappingcommunitystructures AT yenniying zhòngdiéqúntǐshìjuéhuàjièmiànzhībǐjiào AT yánnīyíng zhòngdiéqúntǐshìjuéhuàjièmiànzhībǐjiào |
_version_ |
1719160514534178816 |