A CyberGIS Environment for Analysis of Location-Based Social Media Data

Advanced Location-Based Technologies and Services

Volumn , Issue , 2016, Pages 187-205

  Wang, Shaowen ^a   Cao, Guofeng ^a   Zhang, Zhenhua ^a   Zhao, Yanli ^a   Padmanabhan, Anand ^a   Wu, Kaichao ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85137430010     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b14940-10     Document Type: Chapter

References (39)

1. Achrekar, H., Fang, Z., Li, Y., Chen, C.X., Liu, B., and Wang, J., 2011. A spatio-temporal approach to the discovery of online social trends. Combinatorial Optimization and Applications, Lecture Notes in Computer Science, 6831, pp. 510-524.
2. Anselin, L., 1995. Local indicators of spatial association-LISA. Geographical Analysis, 27, pp. 93-115.
3. Anselin, L., and Rey, S., 2012. Spatial econometrics in an age of CyberGIScience, International Journal of Geographical Information Science, 26(12), pp. 2211-2226.
4. Atkins, D.E., Droegemeier, K.K., Feldman, S I., Garcia-Molina, H., Klein, M L., Messerschmitt, D.G., Messina, P., Ostriker, J.P., and Wright, M.H., 2003. Revolutionizing Science and Engineering through Cyberinfrastructure: Report of the National Science Foundation Blue-Ribbon Advisory Panel on Cyberinfrastructure, National Science Foundation.
5. Backstrom, L., Kleinberg, J., and Kumar, R., 2008. Spatial variation in search engine queries. Proceedings of the 17th International Conference on World Wide Web.
6. Bithell, J., 1990. An application of density estimation to geographical epidemiology. Statistics in Medicine, pp. 691-701.
7. Bithell, J., 1991. Estimation of relative risk functions. Statistics in Medicine, 10, pp. 1945-1951.
8. Bollen, J., Mao, H., and Zhang, X., 2011. Twitter mood predicts the stock market. Journal of Computational Science, 2(1), pp. 1-8.
9. Brunsdon, C., 1995. Estimating probability surfaces for geographical point data: An adaptive kernel algorithm. Computers and Geosciences, 21, pp. 877-894.
10. Cai, Q., Rushton, G., and Bhaduri, B., 2012. Validation tests of an improved kernel density estimation method for identifying disease clusters. Journal of Geographical Systems, 14(3), pp. 243-264.
11. Gao, H., Barbier, G. and Goolsby, R., 2011. Harnessing the crowdsourcing power of social media for disaster relief. Intelligent Systems, IEEE.
12. Ginsberg, J., Mohebbi, M.H., Patel, R.S., Brammer, L., Smolinski, M.S., and Brilliant, L., 2009. Detecting influenza epidemics using search engine query data. Nature, 457, pp. 1012-1014.
13. Goodchild, M., 2004. GIScience, geography, form, and process. Annals of the Association of American, 94(4), pp. 709-714.
14. Goodchild, M., and Glennon, A., 2010. Crowdsourcing geographic information for disaster response: A research frontier. International Journal of Digital Earth, 3(3), pp. 231-241.
15. Hecht, B., Hong, L., and Suh, B., 2011. Tweets from Justin Bieber’s heart: The dynamics of the location field in user profiles. In Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems, New York, New York.
16. Kaplan, A., and Haenlein, M., 2010. Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53, pp. 59-68.
17. Kulldorff, M., 1997. A spatial scan statistic. Communications in Statistics-Theory and Methods, 26(6), pp. 1481-1496.
18. Kulldorff, M., and Nagarwalla, N., 1995. Spatial disease clusters: Detection and inference. Statistics in Medicine, 14, pp. 799-810.
19. Lampos, V., Bie, T.D., and Cristianini, N., 2010. Flu detector-tracking epidemics on twitter. Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Computer Science, 6323, pp. 599-602.
20. MacEachren, A.M., Jaiswal, A., Robinson, A.C., Pezanowski, S., Savelyev, A., Mitra, P., Zhang, X., and Blanford, J., 2011. SensePlace2: GeoTwitter analytics support for situational awareness. In IEEE VAST, pp. 181-190.
21. Mei, Q., Liu, C., and Su, H., 2006. A probabilistic approach to spatiotemporal theme pattern mining on weblogs. In Proceedings of the 15th International Conference on World Wide Web, pp. 533-542.
22. Murray, A., 2000. Spatial characteristics and comparisons of interaction and median clustering models. Geographical Analysis, 32, pp. 1-18.
23. Murray, A., and Estivill-Castro, V., 1998. Cluster discovery techniques for exploratory spatial data analysis. International Journal of of Geographical Information Science, 12, pp. 431-443.
24. O’Connor, B., and Balasubramanyan, R., 2010. From tweets to polls: Linking text sentiment to public opinion time series. In Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pp. 122-129.
25. Openshaw, S., 1998. Building automated geographical analysis and explanation machines. In Geocomputation: A primer, P.A. Longley, S.M. Brooks, R. McDonnell, and B. MacMillan, eds. Chichester, UK: Wiley.
26. Openshaw, S., Charlton, M., Wymer, C., and Craft, A., 1987. A Mark I geographical analysis machine for the automated analysis of point data sets. International Journal of Geographical Information Systems, 1, pp. 335-358.
27. Phan, D., Xiao, L., Yeh, R., Hanrahan, P., and Winograd, T., 2005. Flow map layout. In Proceedings of the 2005 IEEE Symposium on Information Visualization, pp. 219-224.
28. Pickard, G., Pan, W., Rahwan, I., Cebrian, E., Crane, R., Madan, A., and Pentland, A., 2011. Time critical social mobilization. Science, 334(6055), pp. 509-512.
29. Sakaki, T., and Okazaki, M., 2010. Earthquake shakes Twitter users: Real-time event detection by social sensors. In Proceedings of the 19th International Conference on World Wide Web, pp. 851-860.
30. Shi, X., 2010. Selection of bandwidth type and adjustment side in kernel density estimation over inhomogeneous backgrounds. International Journal of Geographical Information Science, 24, pp. 643-660.
31. Signorini, A., and Segre, A., 2011. The use of Twitter to track levels of disease activity and public concern in the US during the influenza A H1N1 pandemic. PLoS One, 6(5): e19467.
32. Silverman, B.W., 1986. Density Estimation for Statistics and Data Analysis. London: Chapman and Hall.
33. Smrz, P., and Otrusina, L., 2011. Finding indicators of epidemiological events by analysing messages from twitter and other social networks. In Proceedings of the Second International Workshop on Web Science and Information Exchange in the Medical Web, pp. 7-10.
34. Tobler, W., 1987. Experiments in migration mapping by computer. Cartography and Geographic Information Science, 14(2), pp. 155-163.
35. Verbeek, K., Buchin, K., and Speckmann, B., 2011. Flow map layout via spiral trees. IEEE Transactions on Visualization and Computer Graphics, 17, pp. 2536-2544.
36. Wang, S., 2010. A cyberGIS framework for the synthesis of cyberinfrastructure, GIS, and spatial analysis. Annals of the Association of American Geographers, 100(3), pp. 535-557.
37. Wang, S., Armstrong, M., and Ni, J., 2005. GISolve: A grid-based problem solving environment for computationally intensive geographic information analysis. In Proceedings of the 14th International Symposium on High Performance Distributed Computing (HPDC-14)-Challenges of Large Applications in Distributed Environments (CLADE) Workshop, pp. 3-12.
38. Wang, S., Liu, Y., Wilkins-Diehr, N., and Martin, S., 2009. SimpleGrid toolkit: Enabling geosciences gateways to cyberinfrastructure. Computers and Geosciences, 35(12), pp. 2283-2294.
39. Wright, D., and Wang, S., 2011. The emergence of spatial cyberinfrastructure. Proceedings of the National Academy of Sciences, 108(14), pp. 5488-5491.