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Social network analysis of B2B networks


Mohamad, Abdul Hadi and Fang, Wang and Abu Bakar, Noor Widasuria and Jatavallabhula, Pavan Kumar (2017) Social network analysis of B2B networks. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur.

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Abstract

The volume of information readily available in the EMarketplace is massive.Business-to-business (B2B) users, for instance, have an extensive chain of business relationships that have immensely generated a large volume of information. Although this raises problems of information overload, the data is embedded with rich and valuable information, such as internal structure and social networks.While other research focuses on discovering properties of B2C, C2C and P2P networks, there only exists limited work on B2B, attributable to the high complexity of the B2B structure.This paper presents a statistical analysis of B2B networks that amasses dispersed users' social relationships using a social network analysis technique.The investigation performed found that B2B networks are small-world, and thus follow a power-law distribution. The analysis also proved that B2B networks hold stable community structures.

Item Type: Conference or Workshop Item (Paper)
Additional Information: eISSN 2289-7402 e-ISBN 978-967-0910-33-8 Organized by: School of Computing, Universiti Utara Malaysia Sintok.
Uncontrolled Keywords: Social Network Analysis (SNA), Business-to-Business (B2B), E-Marketplace, Social Networks, Network Science
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Computing
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 27 Jul 2017 02:03
Last Modified: 27 Jul 2017 02:03
URI: http://repo.uum.edu.my/id/eprint/22857

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