Structural Convergence of Web Graph, Social Network and Malaria Network: An Analytical Framework for Emerging Web-Hybrid Search Engine

Eze, Monday and Labadin, Jane and Lim, Terrin (2014) Structural Convergence of Web Graph, Social Network and Malaria Network: An Analytical Framework for Emerging Web-Hybrid Search Engine. International Journal of Web Engineering and Technology, 9 (1/2014). pp. 3-29. ISSN 1741-9212

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Abstract

It is a well known truth that there is no malaria transmission without blood-sucking bites by mosquitoes. Since there is no blood-sucking without contacts, it follows that the contacts between human beings and mosquitoes can be exploited to generate contact networks. Active computational research in this area is geared at developing new frontiers in modelling malaria transmission through network theory and methods. Ongoing research in this area points to the fact that there are structural similarities between web graph, social network and malaria networks. It is the aim of this paper to explore the structural convergence and to exploit this to build a framework that will pave the way for developing web-hybrid search engines. Like the emergence of search engines revolutionised web research, it is expected that application of search engines in malaria research will make a tremendous impact in malaria control.

Item Type: Article
Uncontrolled Keywords: Structural Convergence, Web Graph, Social Network, Malaria Network, Web-Hybrid Search Engine, PageRank, HITS, Universiti Malaysia Sarawak, UNIMAS, Computer Science, Borneo, Sarawak, Disease Modelling, Malaysia
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Lim
Date Deposited: 06 Apr 2015 02:09
Last Modified: 04 Aug 2015 00:19
URI: http://ir.unimas.my/id/eprint/6823

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