Stata graph Library for network analysis

Stata Journal

Volumn 12, Issue 1, 2012, Pages 94-129

  Miura, Hirotaka ^a  

^a Howard Hughes Medical Institute   (United States)

Author keywords

Centrality; Clustering; Netsis; Netsummarize; Network analysis; St0248

Indexed keywords

EID: 84859034053     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x1201200107     Document Type: Article

References (27)

1. Anthonisse, J. M. 1971. The rush in a directed graph. Technical Report BN 9/71, Stichting Mathematisch Centrum, Amsterdam.
2. Barrat, A., M. Barthelemy, R. Pastor-Satorras, and A. Vespignani. 2004. The architecture of complex weighted networks. Proceedings of the National Academy of Sciences 101: 3747-3752.
3. Batagelj, V., and A. Mrvar. 2011. Pajek. http://pajek.imfm.si/doku.php?id=download.
4. Bonacich, P. 1972. Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology 2: 113-120.
5. Bonacich, P. 1987. Power and centrality: A family of measures. American Journal of Sociology 92: 1170-1182.
6. Bonacich, P., and P. Lloyd. 2001. Eigenvector-like measures of centrality for asymmetric relations. Social Networks 23: 191-201.
7. Brandes, U. 2001. A faster algorithm for betweenness centrality. Journal of Mathematical Sociology 25: 163-177.
8. Butts, C. T. 2010. Sna: Tools for Social Network Analysis. R package version 2.2-0. http://cran.r-project.org/web/packages/sna/index.html.
9. Carey, V., L. Long, and R. Gentleman. 2011. RBGL: An interface to the BOOST graph library. R package version 1.28.0.http://cran.r-project.org/web/packages/RBGL/index.html
10. Corten, R. 2010. Pajek2stata: Stata module to import network data in Pajek's.net format. Statistical Software Components S457149, Department of Economics, Boston College. http://econpapers.repec.org/software/bocbocode/s457149.htm.
11. Corten, R. 2011. Visualization of social networks in Stata using multidimensional scaling. Stata Journal 11: 52-63.
12. Csardi, G., and T. Nepusz. 2006. The igraph software package for complex network research. Inter Journal. http://interjournal.org/manuscriptabstract.php? 361100992.
13. Elias, P., A. Feinstein, and C. E. Shannon. 1956. A note on the maximum flow through a network. IRE Transactions on Information Theory 2: 117-119.
14. Fass, C., B. Turtle, and M. Ginelli. 1996. Six Degrees of Kevin Bacon. New York: Plume.
15. Ford, L. R., Jr., and D. R. Fulkerson. 1956. Maximal flow through a network. Canadian Journal of Mathematics 8: 399-404.
16. Freeman, L. C. 1977. A set of measures of centrality based on betweenness. Sociometry 40: 35-41.
17. Gleich, D. 2008. MatlabBGL. http://www.mathworks.com/matlabcentral/fileexchange/10922.
18. Harris, T. E., and F. S. Ross. 1955. Fundamentals of a method for evaluating rail net capacities. Research Memorandum No. 1573, The RAND Corporation, Santa Monica, CA.
19. International Monetary Fund. 2010. Coordinated Portfolio Investment Survey (CPIS). http://cpis.imf.org/.
20. Johnson, D. B. 1977. Efficient algorithms for shortest paths in sparse networks. Journal of the Association for Computing Machinery 24: 1-13.
21. Katz, L. 1953. A new status index derived from sociometric analysis. Psychometrika 18: 39-43.
22. Newman, M. E. J. 2010. Networks: An Introduction. Oxford: Oxford University Press.
23. Opsahl, T., and P. Panzarasa. 2009. Clustering in weighted networks. Social Networks 31: 155-163.
24. Padgett, J. F., and C. K. Ansell. 1993. Robust action and the rise of the Medici, 1400-1434. American Journal of Sociology 98: 1259-1319.
25. Siek, J., L.-Q. Lee, and A. Lumsdaine. 2001. The Boost Graph Library (BGL). http://www.boost.org/libs/graph/doc/index.html.
26. The World Bank. 2010. Worldwide Governance Indicators (WGI) Online. http://data.worldbank.org/data-catalog/worldwide-governance-indicators.
27. The World Bank. 2011. World Development Indicators (WDI) Online. http://data.worldbank.org/data-catalog/world-development-indicators.