Wang, Guangyuan and Wang, Hua and Tao, Xiaohui 
ORCID: https://orcid.org/0000-0002-0020-077X and Zhang, Ji ORCID: https://orcid.org/0000-0001-7167-6970 and Zhu, Guohun
(2013)
Finding a weighted positive influence dominating set in e-learning social networks.
International Journal of Computers and Technology, 10 (10).
pp. 2136-2145.
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Abstract
Online social network has developed significantly in recent years. Most of current research has utilized the property of online social network to spread information and ideas. Motivated by the applications of dominating set in social networks (such as e-learning), a variation of the dominating set called positive influence dominating set (PIDS) has been studied in the literature. The existing research for PIDS problem do not take into consideration the attributes, directions and degrees of personal influence. However, these factors are very important for selecting a better PIDS. For example, in a real-life e-learning community, the attributes and the degrees of their influence between a tutor and a student are different; the relationship between two e-learning users is asymmetrical. Hence, comprehensive, deep investigation of user's properties become an emerging and urgent issue. The focus of this study is on the degree and direction between e-learners' influence. A novel dominating set model called weighted positive influence dominating set (WPIDS), and two selection algorithms for the WPIDS problem have been proposed. Experiments using synthetic data sets demonstrate that the proposed model and algorithms are more reasonable and effective than those of the positive influence dominating set (PIDS) without considering the key factors of weight, direction and so on.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | This work is licensed under a Creative Commons Attribution 3.0 License. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work. |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019) |
| Date Deposited: | 15 Mar 2014 10:36 |
| Last Modified: | 14 Jul 2014 00:11 |
| Uncontrolled Keywords: | social networks; e-learning; weighted positive influence dominating set; selection algorithm |
| Fields of Research (2008): | 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining 13 Education > 1303 Specialist Studies in Education > 130306 Educational Technology and Computing 01 Mathematical Sciences > 0101 Pure Mathematics > 010107 Mathematical Logic, Set Theory, Lattices and Universal Algebra |
| Fields of Research (2020): | 46 INFORMATION AND COMPUTING SCIENCES > 4699 Other information and computing sciences > 469999 Other information and computing sciences not elsewhere classified 39 EDUCATION > 3904 Specialist studies in education > 390405 Educational technology and computing 49 MATHEMATICAL SCIENCES > 4904 Pure mathematics > 490407 Mathematical logic, set theory, lattices and universal algebra |
| Socio-Economic Objectives (2008): | C Society > 93 Education and Training > 9302 Teaching and Instruction > 930299 Teaching and Instruction not elsewhere classified |
| URI: | http://eprints.usq.edu.au/id/eprint/24871 |
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