Abstract
The research presented in this paper introduces a graph-based and computational modelling approach that derives a social network and computes its emerging spatial and thematic properties from the semantics embedded in a series of Web pages. We apply several local and global graph-based operators, and complement them with thematic, spatial and similarity operators. This allows us to infer the degree of correlation between the different properties of the network. The approach is applied to the study of the GIS research communities as exemplified by the International COSIT and GIScience conferences.
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References
Batty, M.: Distance in space syntax, Working Paper (80), Centre for Advanced Spatial Analysis, UCL, London (2004)
Bekkerman, R., McCallum, A.: Disambiguating web appearances of people in a social network. In: Proceedings of the 14th international conference on World Wide Web, pp. 463–470. ACM Press, Chiba (2005)
Béra, R., Claramunt, C.: Relative adjacencies in spatial pseudo-partitions. In: Kuhn, W., Worboys, M.F., Timpf, S. (eds.) COSIT 2003. LNCS, vol. 2825, pp. 204–220. Springer, Heidelberg (2003)
Béra, R., Claramunt, C.: Connectivity Inferences over the Web for the Analysis of Semantic Networks. In: Li, K.-J., Vangenot, C. (eds.) W2GIS 2005. LNCS, vol. 3833, pp. 222–234. Springer, Heidelberg (2005)
Berners-Lee, J., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 184(5), 34–43 (2001)
Brandes, U.: A faster algorithm for betweenness centrality. Journal of Mathematical Sociology 25(2), 163–177 (2001)
Dunne, J.A., Williams, R.J., Martinez, N.D.: Food web structure and network theory; the role of connectance and size. Proceedings of National Academy of Sciences 99, 12917–12922 (2002)
Freeman, L.C.: A set of measures of centrality based on betweenness. Sociometry 40, 35–41 (1977)
Greco, G., Greco, S., Zumpano, E.: A stochastic approach for modelling and computing web communities. In: Proceedings of the 3rd International Conference on Web Information Systems Engineering, pp. 43–52. IEEE Press, Singapore (2002)
Hou, J., Zhang, Y.: A matrix approach for hierarchical web page clustering based on hyperlinks. In: Proceedings of the 3rd International Workshops on Web Information Systems Engineering, pp. 207–216. IEEE Press, Singapore (2002)
More, C., Newman, M.E.J.: Epidemics and percolation in small-world networks. Phys. Review E 61, 5678–5682 (2000)
Newman, M.E.J.: The structure and function of complex networks. SIAM Review 45, 167–256 (2003)
Redner, S.: How popular is your paper? An empirical study of the citation distribution. European Phys. J. B. 4, 131–134 (1998)
Sabidussi, G.: The centrality index of a graph. Psychometrika 31, 581–603 (1966)
Strogatz, S.H.: Exploring complex networks. Nature 410, 268–276 (2001)
Wasserman, S., Faust: Social Network Analysis. Cambridge University Press, Cambridge (1994)
White, S., Smyth, P.: Algorithms for estimating relative importance in networks. In: Proc. 9th Conference of the ACM Special Interest Group on Knowledge Discovery in Data Mining (SIGKDD), Washington, D.C, pp. 266–275 (2003)
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Agarwal, P., Béra, R., Claramunt, C. (2006). A Social and Spatial Network Approach to the Investigation of Research Communities over the World Wide Web. In: Raubal, M., Miller, H.J., Frank, A.U., Goodchild, M.F. (eds) Geographic Information Science. GIScience 2006. Lecture Notes in Computer Science, vol 4197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863939_1
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DOI: https://doi.org/10.1007/11863939_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44526-5
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