Abstract
With the increased use of mobile devices and social network services (SNSs), people can browse SNSs anytime and anywhere. This study used Facebook as the core sites for analyzing web users’ information behavior online and on mobile devices by collecting users’ clickstream data of three months.
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References
Bates, M.: Encyclopedia of Library and Information Sciences. CPC Press, New York (2010)
Broder, A.: A taxonomy of web search. ACM Sigir Forum 36(2), 3–10 (2002)
Bucklin, R.E., Sismeiro, C.: Click Here for Internet Insight: Advances in Clickstream Data Analysis in Marketing. Interactive Marketing 23(1), 35–48 (2009)
Chou, P.H., Li, P.H., Chen, K.K., Wu, M.J.: Integrating web mining and neural network for personalized e-commerce automatic service. Expert Systems with Applications 37(4), 2898–2910 (2010)
Cooley, R., Mobasher, B., Srivastava, J.: Web mining: information and pattern discovery on the world wide web. In: Proceedings of the 9th IEEE International Conference on Tools with Artificial Intelligence, pp 558–567 (1997)
Cooley, R., Mobasher, B., Srivastava, J.: Data preparation for mining world wide web browsing patterns. Knowledge and Information Systems 1(1), 5–32 (1999)
Dervin, B.: On Studying Information Seeking Methodologically: The Implications of Connecting Metatheory to Method. Information Processing and Management 35(6), 727–750 (1999)
Dervin, B., Nilan, M.: Information needs and uses. Annual Review of Information Science and Technology 21, 3–33 (1986)
Etzioni, O.: The World-Wide Web: quagmire or gold mine? Communications of the ACM 39(11), 65–68 (1996)
Foreseeing Innovative New Digiservices: Taiwan’s Internet users Summary Report of October 2013 Survey (2014). http://www.find.org.tw/market_info.aspx?n_ID=7208 (retrieve May 22, 2015)
Gonzalez-Teruel, A., Abad-Garcia, M.F.: Information needs and uses: An analysis of the literature. Library and Information Science Research 29(1), 30–46 (2007)
Google and Ipsos MediaCT: Our Mobile Planet: Taiwan, Understanding the Mobile Consumer (2013). http://services.google.com/fh/files/misc/omp-2013-tw-en.pdf (retrieve May 22, 2015)
He, R., Wang, J., Tian, J., Chu, C.T., Mauney, B., Perisic, I.: Session analysis of people search within a professional social network. Journal of the American Society for Information Science and Technology 64(5), 929–950 (2013)
Huberman, B.A., et al.: Strong regularities in world wide web surfing. Science 280(5360), 95–97 (1998)
Kaufman, L., Rousseeuw, P.J.: Finding groups in data: an introduction to cluster analysis, vol. 344. John Wiley & Sons (2009)
King, D.W., Tenopir, C.: Using and reading scholarly literature. Information Science and Technology 34, 423–477 (1999)
Kosala, R., Blockeel, H.: Web mining research: A survey. ACM Sigkdd Explorations Newsletter 2(1), 1–15 (2000)
Krikelas, J.: Information-Seeking Behavior: Patterns and Concepts. Drexel Library Quarterly 19(2), 5–20 (1983)
Kuhlthau, C.C.: Seeking meaning: a process approach to library and information services. Ablex, Norwood (1994)
Mannila, H., Toivonen, H., Verkamo, A.I.: Discovery of frequent episodes in event sequences. Data Mining and Knowledge Discovery 1(3), 259–289 (1997)
Ng, R.T., Han, J.: Efficient and effective clustering methods for spatial data mining. In: Proceeding of the 20th International Conference on Very Large Data Bases, pp 144–155 (1994)
Pettigrew, K.E., Fidel, R., Bruce, H.: Conceptual frameworks in information behavior. Annual Review of Information Science and Technology 35, 43–78 (2001)
Rioux, K.S.: Theories of information behavior. Information Today, Inc. (2005)
Srivastava, J., Cooley, R., Deshpande, M., Tan, P.N.: Web usage mining: Discovery and applications of usage patterns from web data. ACM SIGKDD Explorations Newsletter 1(2), 12–23 (2000)
Srikant, R., Agrawal, R.: Mining sequential patterns: Generalizations and performance improvements. Springer, Heidelberg (1996)
Story, L.: How many site hits? Depends who’s counting. New York Times October (2007). http://www.nytimes.com/2007/10/22/technology/22click.html?_r=0 (retrieve May 22, 2015)
Taiwan Network Information Center: Wireless Internet Usage in Taiwan Summary Report of October 2014 Survey (2014). http://www.twnic.net.tw/download/200307/20150202d.pdf (retrieve May 22, 2015)
Wang, P.: Methodologies and methods for user behavioral research. Annual Review of Information Science and Technology 34, 53–100 (2001)
Wang, Y., Fesenmaier, D.R.: Modeling participation in an online travel community. Journal of Travel Research 42(3), 261–270 (2004)
Wilson, T.D.: Models in information behaviour research. Documentation 55(3), 249–270 (1999)
Wilson, T.D.: Human information behavior. Informing Science 3(2), 49–56 (2000)
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Chiang, IP., Yang, SY. (2015). Exploring Users’ Information Behavior on Facebook Through Online and Mobile Devices. In: Wang, L., Uesugi, S., Ting, IH., Okuhara, K., Wang, K. (eds) Multidisciplinary Social Networks Research. MISNC 2015. Communications in Computer and Information Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48319-0_28
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DOI: https://doi.org/10.1007/978-3-662-48319-0_28
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