Spectral analysis of community structure in complex networks: a case study of book-borrowing networks
碩士 === 國立東華大學 === 物理學系 === 100 === In this study, we use book-borrowing records of National Dong-Hua university library between January 2009 to June 2012 to build a real social network which contains 13,241 nodes, i.e. readers. The degree distribution of this book-borrowing network is a exponent...
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ndltd-TW-100NDHU51980182018-04-29T04:16:33Z http://ndltd.ncl.edu.tw/handle/3w93p7 Spectral analysis of community structure in complex networks: a case study of book-borrowing networks 複雜網路之社群結構的頻譜分析:以圖書借閱網路為例 Cing-De Gong 龔清德 碩士 國立東華大學 物理學系 100 In this study, we use book-borrowing records of National Dong-Hua university library between January 2009 to June 2012 to build a real social network which contains 13,241 nodes, i.e. readers. The degree distribution of this book-borrowing network is a exponential decay function. Its short average path length(1.93) and high clustering coefficient(0.34) indicate the small-world feature. We go further to pick up two to three departments to build a small detailed book-borrowing network. Based on the number of the same books borrowed, we construct a similarity matrix to represent the relationship between nodes. By diagonalizing and analysing its eigenvalues and eigenvectors, we may probe the community structure in the book-borrowing network. Chi-Ning Chen 陳企寧 2012 學位論文 ; thesis 45 |
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碩士 === 國立東華大學 === 物理學系 === 100 === In this study, we use book-borrowing records of National Dong-Hua university library between January 2009 to June 2012 to build a real social network which contains 13,241 nodes, i.e. readers. The degree distribution of this book-borrowing network is a exponential decay function. Its short average path length(1.93) and high clustering coefficient(0.34) indicate the small-world feature.
We go further to pick up two to three departments to build a small detailed book-borrowing network. Based on the number of the same books borrowed, we construct a similarity matrix to represent the relationship between nodes. By diagonalizing and analysing its eigenvalues and eigenvectors, we may probe the community structure in the book-borrowing network.
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Chi-Ning Chen |
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Chi-Ning Chen Cing-De Gong 龔清德 |
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Cing-De Gong 龔清德 |
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Cing-De Gong 龔清德 Spectral analysis of community structure in complex networks: a case study of book-borrowing networks |
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Cing-De Gong |
title |
Spectral analysis of community structure in complex networks: a case study of book-borrowing networks |
title_short |
Spectral analysis of community structure in complex networks: a case study of book-borrowing networks |
title_full |
Spectral analysis of community structure in complex networks: a case study of book-borrowing networks |
title_fullStr |
Spectral analysis of community structure in complex networks: a case study of book-borrowing networks |
title_full_unstemmed |
Spectral analysis of community structure in complex networks: a case study of book-borrowing networks |
title_sort |
spectral analysis of community structure in complex networks: a case study of book-borrowing networks |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/3w93p7 |
work_keys_str_mv |
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1718633973704294400 |