Abstract
With the development of new media such as social networking sites, content sharing sites, blogs and micro blogs a profound transformation in terms of communication between consumers and companies has been created. In fact, this great revolution of the web has allowed different users to interact, express their opinion on a product or a service and post comments. Then, internet users have gone from passive to active actors who are able to produce information and make data available on the web as a rich opinions source. Therefore companies must deal with this reality, to know what others may say about their products of competing brands because the only and the best way to sell their products in good condition is to produce what consumers want. Along with this phenomenon, recent years have seen the birth of a generation of Internet users elected by the company to help it to manage its on-line reputation. Those users are called opinion leaders or influencers; they have a high capacity to influence those around them because they are considered to be more experienced, objective and able of provoking the emotions of someone else. Therefore the necessity of identifying opinion leaders has been proved more and more crucial. The goal of this paper is to present different research works that aimed to detect opinions leaders in social network.
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References
Chikhi, N.F.: Calcul de centralité et identification de structures de communautés dans les graphes de documents. Ph.D. thesis, Université de Toulouse, Université Toulouse III-Paul Sabatier, pp. 17–40 (2010)
Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge (1994). p. 825
Freeman, L.C.: Centrality in social networks conceptual clarification. Soc. Netw., 215–239 (1979)
Musiał, K., Kazienko, P., Bródka, P.: User position measures in social networks. In: Proceedings of the 3rd Workshop on Social Network Mining and Analysis, ACM, New York, NY, USA, article no. 6 (2009)
Bonacich, P.: Some unique properties of eigenvector centrality. Soc. Netw., 555–564 (2007)
Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. Comput. Netw. ISDN Syst. 30, 107–117 (1998)
Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G., Ng, A., Liu, B., Yu, P., Zhou, Z.-H., Steinbach, M., Hand, D., Steinberg, D.: Top 10 algorithms in data mining. Knowl. Inf. Syst. 14, 1–37 (2008)
Zhang, Y., Yu, J.X., Hou, J.: Web Communities: Analysis And Construction. Springer, p. 185 (2005)
Weng, J., Lim, E., Jiang, J., He, Q.: TwitterRank: finding topic-sensitive influential twitterers. In: Proceedings of the 3rd ACM International Conference on Web Search and Data Mining, WSDM 2010, pp. 261–270 (2010)
Avello, G., Brenes Martínez, D., José, D.: Overcoming spammers in twitter - a tale of five algorithms. In: I Spanish Congress of Information Retrieval, Madrid, pp. 41–52 (2010)
Sun, B., Ng, V.T.Y.: Identifying influential users by their postings in social networks. Springer, pp. 128–151 (2013)
Chen, W., Yuan, Y., Zhang, L.: Scalable influence maximization in social networks under the linear threshold model, pp. 88–97 (2010)
Domingos, P., Richardson, M.: Mining the network value of customers. In: KDD, pp. 57–663 (2001)
Kempe, D., Kleinberg, J.M., Tardos, É.: Maximizing the spread of influence through a social network. In: Proceedings of the 9th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 137–146 (2003)
Leskovec, J., Krause, A., Guestrin, C., Faloutsos, C., Van Briesen, J., Glance, N.S.: Cost effective outbreak detection in networks. In: Proceedings of the 13th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 420–429 (2007)
Kimura, M., Saito, K.: Tractable models for information diffusion in social networks. In: ECML PKDD, pp. 259–271 (2006)
Chen, W., Wang, Y., Yang, S.: Efficient influence maximization in social networks. In: KDD, pp. 199–208 (2009)
Chen, W., Wang, C., Wang, Y.: Scalable influence maximization for prevalent viral marketing in large scale social networks. In: KDD, pp. 1029–1038 (2010)
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Arrami, S., Oueslati, W., Akaichi, J. (2018). Detection of Opinion Leaders in Social Networks: A Survey. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2017. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-319-59480-4_36
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DOI: https://doi.org/10.1007/978-3-319-59480-4_36
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