Abstract
Human-computer interaction plays an important role in most (if not all) computer applications. It is considered even essential for enabling social networking as dynamic Web 2.0 is becoming an important platform for communication, collaboration, information and knowledge sharing. Compared to static web pages (Web 1.0), Web 2.0 enables more intensive human-computer interactions. This chapter analyzes the relationship between human-computer interaction and social networking. A framework is outlined for representing and measuring online social networks, especially those formed through Web 2.0 applications. A case study based on this framework is performed on Wikipedia.
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References
Holme, P., Edling, C.R., Liljeros, F.: Structure and time-evolution of an internet dating community. Soc. Netw. 26(2), 155–174 (2004)
Boyd, D., Ellison, N.: Social network sites: definition, history, and scholarship. J. Comput. Med. Commun. 13(1), article 11 (2007)
Else, L., Turkle, S.: Living online: I’ll have to ask my friends. New Sci. 2569, 48–49 (2006)
Urstadt, B.: Social networking is not a business. MIT Technol. Rev. July/August 2008
Backstrom, L., Huttenlocher, D., Kleinberg, J., Lan, X.: Group formation in large social networks: membership, growth, and evolution. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, August 2006, pp. 44–54
Albert, R., Jeong, H., Barbsi, A.L.: The diameter of the world wide web. Nature 401, 130–131 (1999)
Adamic, L.A., Buyukkokten, O., Adar, E.: A social network caught in the Web. First Monday 8, 6 (2003)
Adamic, L.A.: The small world web. In: Proceedings of the 3rd European Conference on Research and Advanced Technology for Digital Libraries, Paris, September 1999, pp. 443–452
Zillman, M.P.: Online social networking, an internet MiniGuide Annotated Link Compilation. White paper. Available at: http://whitepapers.virtualprivatelibrary.net/Online
Arjan, R., Pfeil, U., Zaphiris, P.: Age differences in online social networking. In: CHI’08 Extended Abstracts on Human Factors in Computing Systems, Florence, April 2008, pp. 2739–2744
Zaphiris, P., Sarwar, R.: Trends, similarities, and differences in the usage of teen and senior public online newsgroups. ACM Trans. Comput. Hum. Interact. 13(3), 403–422 (2006)
Ahn, Y., Han, S., Kwak, H., Moon, S., Jeong, H.: Analysis of topological characteristics of huge online social networking services. In: Proceedings of the 16th International Conference on World Wide Web, Banff, May 2007, pp. 835–844
Liben-Nowell, D., Novak, J., Kumar, R., Raghavan, P., Tomkins, A.: Geographic routing in social networks. Proc. Natl. Acad. Sci. 102(33), 11623–11628 (2005)
Wilson, M., Nicholas, C.: Topological analysis of an online social network for older adults. In: Proceeding of the 2008 ACM Workshop on Search in Social Media, Napa Valley/California, October 2008, pp. 51–58
Gross, R., Acquisti, A., Heinz, H.J.: Information revelation and privacy in online social networks. In: Proceedings of the 2005 ACM Workshop on Privacy in the Electronic Society, Alexandria, November 2005, pp. 71–80
Krishnamurthy, B., Wills, C.E.: Characterizing privacy in online social networks. In: Proceedings of the 1st Workshop on Online Social Networks, Seattle, August 2008, pp. 37–42
Krishnamurthy, B., Malandrino, D., Wills, C.E.: Measuring privacy loss and the impact of privacy protection in web browsing. In: Proceedings of the 3rd Symposium on Usable Privacy and Security, Pittsburgh, July 2007, pp. 52–63
Krishnamurthy, B., Wills, C.E.: Generating a privacy footprint on the internet. In: Proceedings of the 6th ACM SIGCOMM Conference on Internet Measurement, Rio de Janeriro, October 2006, pp. 65–70
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, August 2008, pp. 160–168
Job-Sluder, K.: Local vs. global networks: network analysis of a multi-user virtual environment. In: Proceedings of the 6th International Conference on Learning Sciences, Santa Monica, June 2004, pp. 657–657
Tian, Y., Huang, T., Gao, W.: Quantitatively evaluating the influence of online social interactions in the community-assisted digital library. In: Proceedings of the 2nd ACM/IEEE-CS Joint Conference on Digital Libraries, Portland, July 2002, pp. 409–409
Mislove, A., Marcon, M., Gummadi, K.P., Druschel, P., Bhattacharjee, B.: Measurement and analysis of online social networks. In: Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement, San Diego, October 2007, pp. 29–42
Nazir, A., Raza, S., Chuah, C.: Unveiling facebook: a measurement study of social network based applications. In: Proceedings of the 8th ACM SIGCOMM Conference on Internet Measurement, Vouliagmeni, October 2008, pp. 43–56
Cha, M., Kwak, H., Rodriguez, P., Ahn, Y., Moon, S.: I tube, you tube, everybody tubes: analyzing the world’s largest user generated content video system. In: Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement, San Diego, October 2007, pp. 1–14
Feng, W., Chang, F., Feng, W., Walpole, J.: A traffic characterization of popular on-line games. IEEE/ACM Trans. Netw. 13(3), 488–500 (2005)
Gjoka, M., Sirivianos, M., Markopoulou, A., Yang, X.: Poking facebook: characterization of osn applications, In: Proceedings of the 1st Workshop on Online Social Networks, Seattle, August 2008, pp. 31–36
Golder, S., Wilkinson, D., Huberman, B.A.: Rhythms of social interaction: messaging within a massive online network. In: Proceedings of 3rd International Conference on Communities and Technologies, East Lansing, Michigan, USA (2007). Available at http://www.hpl.hp.com/research/idl/papers/facebook/facebook.pdf
http://expertvoices.nsdl.org/cornell-info204/2008/04/18/wikipedia-a-social-network/
http://en.wikipedia.org/wiki/Wikipedia:Multilingual_statistics
http://en.wikipedia.org/wiki/Wikipedia:List_of_Wikipedians_by_number_of_edits
http://en.wikipedia.org/wiki/Spearman’s_rank_correlation_coefficient
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Yu, L., Ramaswamy, S. (2012). Analysis of Human-Computer Interactions and Online Social Networking: A Framework. In: Abraham, A. (eds) Computational Social Networks. Springer, London. https://doi.org/10.1007/978-1-4471-4054-2_13
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DOI: https://doi.org/10.1007/978-1-4471-4054-2_13
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