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Analytical hierarchy process and Markov Chain in shared knowledge through social media

Sulaiman, N. I. S. and Ghazali, S. and Zabidi, N. Z. and Omar, M. F. and Alias, Rose Alinda (2015) Analytical hierarchy process and Markov Chain in shared knowledge through social media. Jurnal Teknologi, 77 (5). pp. 57-61. ISSN 0127-9696

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Official URL: http://dx.doi.org/110.11113/jt.v77.6119

Abstract

Many studies have been performed to measure successful knowledge sharing in general. However, limited study has been done to assess successful knowledge sharing through social media. Hence, in this paper intend to discuss our approach to assess knowledge sharing among personal social media user. In order to achieve our objective, we proposed to integrate Analytic Hierarchy Process (AHP) and Markov Chain (MC) technique to investigate the pattern of the shared knowledge through social media. Markov Chain will be used to model the knowledge sharing success through expert opinion and stochastic process. We anticipate the outcome of the assessment in a form of a final matrix showing the probability of successful knowledge sharing through social media. The elements in each row of the Markov Chain transition matrix will be calculated using Analytic Hierarchy Process. The assessment tool produce from our research is expected to benefit policy maker or internet user in order to enhance their knowledge sharing strategy in social media application.

Item Type:Article
Uncontrolled Keywords:analytic hierarchy process, knowledge sharing, Markov Chain, social media
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:57818
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 04:07
Last Modified:22 Aug 2021 03:58

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