Positive influence dominating set in e-learning social networks

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 (2011) Positive influence dominating set in e-learning social networks. In: 10th International Conference on Web-Based Learning (ICWL 2011): Advances in Web-Based Learning, 8-10 Dec 2011, Hong Kong.

Abstract

In recent years, the development of E-learning is rapid. Learning efficiency can be greatly improved if E-learning users' social networks properties can be effectively utilized. However, the nodes in most research models are the same type. The focus of our study is on E-learners' positive influence between their relationship. In this paper, we proposed a new model and selection algorithm named Weight Positive Influence Dominating Set (WPIDS) and analyzed its efficiency through a case study. By comparing the differences between WPIDS and that of Positive Influence Dominating Set (PIDS), we found that our model and algorithm are more effective than those of PIDS.

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Item Type:	Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	© 2011 Springer-Verlag. Permanent restricted access to published version due to publisher copyright policy. Series: Lecture Notes in Computer Science v.7048.
Faculty/School / Institute/Centre:	Historic - Faculty of Sciences - Department of Maths and Computing (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Sciences - Department of Maths and Computing (Up to 30 Jun 2013)
Date Deposited:	20 Jun 2012 10:14
Last Modified:	13 Feb 2015 04:37
Uncontrolled Keywords:	e-learning; weight positive dominating set; algorithm
Fields of Research (2008):	13 Education > 1303 Specialist Studies in Education > 130306 Educational Technology and Computing 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems 01 Mathematical Sciences > 0101 Pure Mathematics > 010107 Mathematical Logic, Set Theory, Lattices and Universal Algebra
Fields of Research (2020):	39 EDUCATION > 3904 Specialist studies in education > 390405 Educational technology and computing 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460902 Decision support and group support systems 49 MATHEMATICAL SCIENCES > 4904 Pure mathematics > 490407 Mathematical logic, set theory, lattices and universal algebra
Socio-Economic Objectives (2008):	E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI:	https://doi.org/10.1007/978-3-642-25813-8_9
URI:	http://eprints.usq.edu.au/id/eprint/20181

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