Analysis of co-occurrence toponyms in web pages based on complex networks

Physica A: Statistical Mechanics and its Applications

Volumn 466, Issue , 2017, Pages 462-475

  Zhong, Xiang ^a   Liu, Jiajun ^a   Gao, Yong ^a   Wu, Lun ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

Complex network; Geographic information retrieval; Link analysis; Toponym; Toponym co occurrence

Indexed keywords

INFORMATION RETRIEVAL; WEBSITES;

CO-OCCURRENCE; CO-OCCURRENCE PROBABILITY; CO-OCCURRENCE RELATIONSHIPS; COMPLEX NETWORK MODELS; GEOGRAPHIC INFORMATION RETRIEVAL; GEOGRAPHICAL INFORMATION RETRIEVALS; LINK ANALYSIS; TOPONYM;

COMPLEX NETWORKS;

EID: 84991696201     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2016.09.024     Document Type: Article

References (41)

1. [1] Becker, C., Bizer, C., Exploring the geospatial semantic web with dbpedia mobile. Web Semant.: Sci. Serv. Agents World Wide Web 7:4 (2009), 278–286.
2. [2] Goodchild, M.F., Citizens as sensors: the world of volunteered geography. GeoJournal 69:4 (2007), 211–221.
3. [3] Gao, Y., Gao, S., Li, R.Q., et al. A semantic geographical knowledge wiki system mashed up with google maps. Sci. China Technol. Sci. 53:1 (2010), 52–60.
4. [4] Liu, Y., Yuan, Y., Xiao, D., et al. A point-set-based approximation for areal objects: A case study of representing localities. Comput. Environ. Urban Syst. 34:1 (2010), 28–39.
5. [5] Jakir, Ž., Hećimović, Ž., Štefan, Z., Place Names Ontologies Advances in Cartography and GIScience, vol. 1, 2011, Springer Berlin, Heidelberg, 331–348.
6. [6] Jiang, F., Wang, W., Research on Chinese toponym ontology mode. Information Science and Management Engineering (ISME), 2010 International Conference of, Vol. 1, 2010, IEEE, 154–157.
7. [7] S. Overell, J. Magalhaes, S. Rüger, Place disambiguation with co-occurrence models, in: CLEF 2006 Workshop, Working notes. 2006.
8. [8] Overell, S., Rüger, S., Using co-occurrence models for placename disambiguation. Int. J. Geogr. Inf. Sci. 22:3 (2008), 265–287.
9. [9] Overell, S.E., Rüger, S., Geographic co-occurrence as a tool for gir. Proceedings of the 4th ACM Workshop on Geographical Information Retrieval, 2007, ACM, 71–76.
10. [10] Buscaldi, D., Approaches to disambiguating toponyms. SIGSPATIAL Spec. 3:2 (2011), 16–19.
11. [11] Liu, Y., Wang, F., Kang, C., et al. Analyzing relatedness by toponym Co-occurrences on web pages. Trans. GIS 18:1 (2014), 89–107.
12. [12] Roark, B., Charniak, E., Noun-phrase co-occurrence statistics for semiautomatic semantic lexicon construction. Proceedings of the 17th International Conference on Computational Linguistics-Vol. 2, 1998, Association for Computational Linguistics, 1110–1116.
13. [13] Liang, W., Shi, Y., Chi, K.T., et al. Comparison of co-occurrence networks of the Chinese and English languages. Physica A 388:23 (2009), 4901–4909.
14. [14] Liang, W., Wang, Y., Shi, Y., et al. Co-occurrence network analysis of modern Chinese poems. Physica A 420 (2015), 284–293.
15. [15] Liang, W., Wang, Y., Shi, Y., et al. Co-occurrence network analysis of modern Chinese poems. Physica A 420 (2015), 284–293.
16. [16] White, H.D., Griffith, B.C., Author cocitation: A literature measure of intellectual structure. J. Am. Soc. Inf. Sci. 32:3 (1981), 163–171.
17. [17] L. Leydesdorff, C. Wagner, H.W. Park, et al. International collaboration in science: The global map and the network, 2013. ArXiv Preprint arXiv:1301.0801.
18. [18] Qiu, J.P., Dong, K., Yu, H.Q., Comparative study on structure and correlation among author co-occurrence networks in bibliometrics. Scientometrics 101:2 (2014), 1345–1360.
19. [19] Small, H., Co-citation in the scientific literature: A new measure of the relationship between two documents. J. Amer. Soc. Inf. Sci. 24:4 (1973), 265–269.
20. [20] Mihalcea, R., Tarau, P., TextRank: Bringing Order into Texts. 2004, Association for Computational Linguistics.
21. [21] Heydon, A., Najork, M., Mercator: A scalable, extensible web crawler. World Wide Web 2:4 (1999), 219–229.
22. [22] Che, W., Li, Z., Liu, T., Ltp: A Chinese Language Technology Platform. Proceedings of the 23rd International Conference on Computational Linguistics: Demonstrations. 2010, Association for Computational Linguistics, 13–16.
23. [23] D.A. Schult, P. Swart, Exploring network structure, dynamics, and function using NetworkX. in: Proceedings of the 7th Python in Science Conferences, SciPy 2008. Vol. 2008, 2008, pp. 11–16.
24. [24] Rubinov, M., Sporns, O., Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52:3 (2010), 1059–1069.
25. [25] Scott, J., Social network analysis. Sociology 22:1 (1988), 109–127.
26. [26] Borgatti, S.P., Centrality and network flow. Soc. Networks 27:1 (2005), 55–71.
27. [27] Dorogovtsev, S.N., Mendes, J.F.F., Samukhin, A.N., Size-dependent degree distribution of a scale-free growing network. Phys. Rev. E, 63(6), 2001, 062101.
28. [28] Dorogovtsev, S.N., Gotsev, A.V., Mendes, J.F.F., Pseudofractal scale-free web. Phys. Rev. E, 65, 2002, 066122.
29. [29] Barabási, A.-L., Ravasz, E., Vicsek, T., Determinic scale-free networks. Physica A 229 (2001), 559–564.
30. [30] Barabási, A.-L., Albert, R., Emergence of scaling in random networks. Science 286 (1999), 509–512.
31. [31] Andrade, J.S., Herrmann, H.J., Andrade, R.F.S., da Silva, L.R., Errattu: Apollonian networks. Phys. Rev. Lett., 102, 2009, 079901.
32. [32] Dijkstra, E.W., A note on two problems in connexion with graphs. Numer. Math. 1:1 (1959), 269–271.
33. [33] Watts, D.J., Strogatz, S.H., Collective dynamics of ‘small-world’ networks. Nature 393:6684 (1998), 440–442.
34. [34] Erd6s, P., Rényi, A., On the evolution of random graphs. Publ. Math. Inst. Hung. Acad. Sci. 5 (1960), 17–61.
35. [35] Pastor-Satorras, R., Vázquez, A., Vespignani, A., Dynamical and correlation properties of the Internet. Phys. Rev. Lett., 87(25), 2001, 258701.
36. [36] Newman, M.E.J., Assortative mixing in networks. Phys. Rev. Lett., 89(20), 2002, 208701.
37. [37] Wu, C., Shen, L., Wang, X., A new method of using contextual information to infer the semantic orientations of context dependent opinions. International Conference on Artificial Intelligence and Computational Intelligence, 2009, Vol. 4, AICI’09, 2009, IEEE, 274–278.
38. [38] Brin, S., Page, L., The anatomy of a large-scale hypertextual Web search engine. Comput. Netw. 30 (1998), 107–117.
39. [39] Boldi, P., Santini, M., Vigna, S., PageRank as a function of the damping factor. Proceedings of the 14th International Conference on World Wide Web, 2005, ACM, 557–566.
40. [40] Henzinger, M., Link analysis in web information retrieval. IEEE Data Eng. Bull., 2000, 3–8.
41. [41] Tobler, W.R., A computer movie simulating urban growth in the Detroit region. Econ. Geogr. 46 (1970), 234–240.