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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References
Giannoukos, I., Lykourentzou, I., Mpardis, G., et al.: Collaborative e-learning environments enhanced by wiki technologies. In: Proceedings of the 1st International Conference on Pervasive Technologies Related to Assistive Environments, Article No 59. ACM, Athens (2008)
Shi, H.C., Revithis, S., Chen, S.S.: An agent enabling personalized learning in e-learning environments. In: Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems: Part 2, pp. 847–848. ACM, Bologna (2002)
Aghaee, N.G., Fatahi, S., Ören, T.I.: Agents with personality and emotional filters for an e-learning environment. In: Proceedings of the 2008 Spring Simulation Multiconference, Article No. 5. ACM, Ottawa (2008)
Lee, H.M., Park, D., Hong, M.: An instant messenger system for learner analysis in e-learning environment. In: Proceedings of the 9th ACM SIGITE Conference on Information Technology Education, pp. 51–52. ACM, Cincinnati (2008)
Jaccard, J., Blanton, H., Dodge, T.: Peer influences on risk behavior: Analysis of the effects of a close friend. J. Developmental Psychology 41(1), 135–147 (2005)
Larimer, M.E., Cronce, J.M.: Identification, prevention and treatment: A review of individual-focused strategies to reduce problematic alcohol consumption by college students. J. Stud Alcohol Suppl. 14, 148–163 (2002)
Walters, S.T., Bennett, M.E.: Addressing drinking among college students: A review of the empirical literature. J. Alcoholism Treatment Quarterly 18(1), 61–71 (2000)
Tegos, G.K., Stoyanova, D.V., Onkov, K.Z.: E-learning of trend modeling in a web-environment. J. ACM SIGCSE Bulletin 37(2), 70–74 (2005)
Garruzzo, S., Rosaci, D., Same, G.M.L.: MASHA-EL: A Multi-Agent System for Supporting Adaptive E-Learning. In: Proceedings of 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 103–110 (2007)
Garruzzo, S., Rosaci, D., Same, G.M.L.: ISABEL: A Multi Agent e-Learning System That Supports Multiple Devices. In: Proceedings of IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), pp. 485–488 (2007)
Yuand, D.Q., Zhong, J.L.: Designing a comprehensive open network laboratory courseware. Journal of Computing Sciences in Colleges 24(1), 174–181 (2008)
Fu, L.D., Aliferis, C.: Models for predicting and explaining citation count of biomedical articles. In: AMIA Annual Symposium Proceedings, pp. 222–226 (2008)
He, Q., Pei, J., Kifer, D.: Context-aware Citation Recommendation. In: WWW 2010: Proceedings of the 19th International Conference on World Wide Web, pp. 421–430 (2010)
Nicolaisen, J.: Bibliometrics and citation analysis: From the science citation index to cybermetrics. JASIST 61(1), 205–207 (2010)
Robinson, M.D.: Applied bibliometrics: Using citation analysis in the journal submission process. JASIS 42(4), 308–310 (1991)
Mislove, A., Marcon, G.K.P., Druschel, P., Bhattacharjee, B.: Measurement and analysis of online social networks. In: Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement Conference (IMC), pp. 29–42 (2007)
Nazir, A., Raza, S., Chuah, C.N.: Unveiling facebook: A measurement study of social network based applications. In: Proceedings of ACM SIGCOMM Internet Measurement Conference (IMC). ACM, Vouliagmeni (2008)
Anagnostopoulos, A., Kumar, R., Mahdian, M.: Influence and correlation in social networks. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 7–15 (2008)
Kempe, D., Kleinberg, J., Tardos, E.: Maximizing the spread of influence through a social network. In: Proceedings of the ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 137–146 (2003)
Haynes, T.W., Hedetniemi, S.T., Slater, P.J.: Fundamentals of Domination in Graphs. Marcel Dekker, New York (1998)
Velzen, B.V.: Dominating set game. CentER Discussion Paper No. 2003-39, Tilbarg University, Center of Economic Research (2003)
Chartrand, G., Dankelmann, P., Schultz, M., Swart, H.C.: Twin domination in digraphs. J. Ars Comb. 67 (2003)
Chartrand, G., Harary, F., Yue, B.Q.: On the out-domination and in- domination numbers of a digraph. J. Discrete Mathematics 197, 179–183 (1999)
Ghosal, J., Laskar, R., Pillone, D.: Topics on domination in directed graphs. In: Haynes, T.W., Hedetniemi, S.T., Slater, P.J. (eds.) Domination in Graphs: Advanced Topics. Marcel Dekker, New York (1998)
Wei, W., Lee, J., King, I.: Measuring credibility of users in an e-learning environment. In: WWW 2007: Proceedings of the 16th International Conference on World Wide Web, pp. 1279–1280 (2007)
Wang, F., Camacho, E., Xu, K.: Positive influence dominating set in online social networks. In: COCOA, pp. 313–321 (2009)
Li, C.C., Pickard, J., et al.: A practical study on networking equipment emulation. Journal of Computing Sciences in Colleges 24(2), 137–143 (2008)
Lahoud, H.A., Tang, X.: Information security labs in IDS/IPS for distance education. In: Proceedings of the 7th Conference on Information Technology Education, Minneapolis, Minnesota, USA, pp. 47–52 (2006)
Wang, H., Zhang, Y., Cao, J.: Effective collaboration with information sharing in virtual universities. J. IEEE Transactions on Knowledge and Data Engineering 21(6), 840–853 (2009)
Wang, H., Sun, L.: Trust-involved access control in collaborative open social networks. In: Proceedings of 4th International Conference on Network and System Security (NSS), pp. 239–246 (2010)
Sun, L., Wang, H.: Towards Identify Anonymization in Large Survey Rating Data. In: Proceedings of the 4th International Conference on Network and System Security (NSS), pp. 99–104 (2010)
Leskovec, J., Huttenlocher, D., Kleinberg, J.: Predicting Positive and Negative Links in Online Social Networks. In: Proceedings of the 19th International Conference on World Wide Web (WWW), Raleigh, North Carolina, USA (2010)
Crandall, D., Cosley, D., Huttenlocher, D., Kleinberg, J., Suri, S.: Feedback Effects between Similarity and Social Influence in Online Communities. In: Proceeding of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA (2008)
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Wang, G., Wang, H., Tao, X., Zhang, J. (2011). Positive Influence Dominating Set in E-Learning Social Networks. In: Leung, H., Popescu, E., Cao, Y., Lau, R.W.H., Nejdl, W. (eds) Advances in Web-Based Learning - ICWL 2011. ICWL 2011. Lecture Notes in Computer Science, vol 7048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25813-8_9
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DOI: https://doi.org/10.1007/978-3-642-25813-8_9
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