Abstract
Social networking service (SNS) has become online service platforms that focus on facilitating the building of social networks among people who share interests, activities, backgrounds, or real-life connections and has had a rapid development in China in the past few years. This paper aims to develop a fuzzy social network service analysis method, which combines graph theory with related fuzzy approach, to analyze the social network structural features and the distribution characteristics of interpersonal nodes in SNS community. A case study on a very famous Chinese tourism BBS—Tianya—is conducted to illustrate and validate the proposed approach. The research findings are as follows: (1) The attraction degrees of various areas in the forum are significantly different; (2) interpersonal nodes in the forum are concentrated relatively; (3) the fuzzy out-degrees and the fuzzy in-degrees of interpersonal nodes in the forum conflict each other; and (4) the distribution of interpersonal nodes is influenced by geographical relations. These findings can directly support social network service management and particularly tourism online service developments.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Boyd DM, Ellison NB (2007) Social network sites: definition, history, and scholarship. J Comput Mediated Commun 13(1):210–230
Heidemann J, Klier M, Probst F (2012) Online social networks: a survey of a global phenomenon. Comput Netw 56(18):3866–3878
Lu Z, Wang WT (2011) The spatial distribution characteristics of interpersonal node in social networking services community and the analysis of geopolitical factors. Sci Geogr Sinica 31(11):1293–1300
Abbasi A, Altmann J, Hossain L (2011) Identifying the effects of co-authorship networks on the performance of scholars: a correlation and regression analysis of performance measures and social network analysis measures. J Informetrics 5(4):594–607
Liu HY, Wei LL, Zhang J (2012) The research on the characteristics of network structure of area tourist flows based on the tourism routine. Human Geogr 27(4):131–136
Wang YM, Ma YF, Wang MX (2012) Network structure of multicity inbound tourists to China. Process Geogr 31(4):518–526
Fu LL, Lv BF, Pei RM (2009) Research on the user participation in relation-based virtual communities. Econ Manag J 31(5):134–139
Nair PS, Sarasamma ST (2007) Data mining through fuzzy social network analysis. In: Proceedings of the 26th annual meeting of the North American Fuzzy Information Processing Society, San Diego, CA, pp 251–255
Ignjatovic J, Ciric M, Bogdanovic S (2010) On the greatest solutions to weakly linear systems of fuzzy relation inequalities and equations. Fuzzy Sets Syst 161(24):3081–3113
Tseng ML (2010) Implementation and performance evaluation using the fuzzy network balanced scorecard. Comput Educ 55:188–201
Lu Z, Lu J, Zhang C (2002) Website development and evaluation in the Chinese tourism industry. Netw Commun Stud 16(3–4):191–208
Lu J, Tang S, McCullough G (2001) An assessment for internet-based electronic commerce development in businesses of New Zealand. Electron Markets 11(2):107–115
Acknowledgment
The work presented in this paper was supported by the National Natural Science Foundation of China (Grant No. 41271142).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lu, Z., Han, R., Du, W., Wu, D. (2014). A Fuzzy Social Network Analysis Method and a Case Study on Tianya Tourism Forum in China. In: Wen, Z., Li, T. (eds) Foundations of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54924-3_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-54924-3_18
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54923-6
Online ISBN: 978-3-642-54924-3
eBook Packages: EngineeringEngineering (R0)