Modeling bipartite graphs using hierarchical structures

Bipartite networks are often used to capture the relationships between different classes of objects. To model the structure of bipartite networks, we propose a new hierarchical model based on a hierarchical random graph model originally designed for one-mode networks. The new model can better preser...

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Main Authors: CHUA, Freddy Chong-Tat, LIM, Ee Peng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
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Online Access:https://ink.library.smu.edu.sg/sis_research/1438
http://doi.org/10.1109/ASONAM.2011.45
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spelling sg-smu-ink.sis_research-24372018-06-18T03:32:07Z Modeling bipartite graphs using hierarchical structures CHUA, Freddy Chong-Tat LIM, Ee Peng Bipartite networks are often used to capture the relationships between different classes of objects. To model the structure of bipartite networks, we propose a new hierarchical model based on a hierarchical random graph model originally designed for one-mode networks. The new model can better preserve the network fidelity as well as the assortative and disassortative structures of bipartite networks. We apply the proposed model on some paper-author networks in DBLP to find their optimal hierarchical structures. Using the optimal bipartite hierarchical structure, we regenerate networks that exhibit the similar network properties and degree distribution as the observed networks. 2011-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1438 info:doi/10.1109/ASONAM.2011.45 http://doi.org/10.1109/ASONAM.2011.45 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Bipartite graphs Bipartite networks Disassortative structures Hierarchical random graph model Network fidelity Optimal Bipartite hierarchical structure Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Bipartite graphs
Bipartite networks
Disassortative structures
Hierarchical random graph model
Network fidelity
Optimal Bipartite hierarchical structure
Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Bipartite graphs
Bipartite networks
Disassortative structures
Hierarchical random graph model
Network fidelity
Optimal Bipartite hierarchical structure
Databases and Information Systems
Numerical Analysis and Scientific Computing
CHUA, Freddy Chong-Tat
LIM, Ee Peng
Modeling bipartite graphs using hierarchical structures
description Bipartite networks are often used to capture the relationships between different classes of objects. To model the structure of bipartite networks, we propose a new hierarchical model based on a hierarchical random graph model originally designed for one-mode networks. The new model can better preserve the network fidelity as well as the assortative and disassortative structures of bipartite networks. We apply the proposed model on some paper-author networks in DBLP to find their optimal hierarchical structures. Using the optimal bipartite hierarchical structure, we regenerate networks that exhibit the similar network properties and degree distribution as the observed networks.
format text
author CHUA, Freddy Chong-Tat
LIM, Ee Peng
author_facet CHUA, Freddy Chong-Tat
LIM, Ee Peng
author_sort CHUA, Freddy Chong-Tat
title Modeling bipartite graphs using hierarchical structures
title_short Modeling bipartite graphs using hierarchical structures
title_full Modeling bipartite graphs using hierarchical structures
title_fullStr Modeling bipartite graphs using hierarchical structures
title_full_unstemmed Modeling bipartite graphs using hierarchical structures
title_sort modeling bipartite graphs using hierarchical structures
publisher Institutional Knowledge at Singapore Management University
publishDate 2011
url https://ink.library.smu.edu.sg/sis_research/1438
http://doi.org/10.1109/ASONAM.2011.45
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