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Structure and causality in the world system

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Abstract

Social network analysis made world system theory be scrutinized quantitatively. Positional analysis of a network makes its social structure clear, comprehensible and explicit. Besides structure, possible causal dependency discovery among relations of a network is the one of the important issues in the network analysis. During this research, we accomplished a world system positional analysis, and intriguing results of this analysis were reported. In addition, we investigated possible direction of dependency between world trade and diplomacy.

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References

  • Anderson CJ, Wasserman S, Faust K (1992) Building stochastic blockmodels. Soc Netw 14:137–161

    Article  Google Scholar 

  • Boer P, Huisman M, Snijders TAB, Steglich Ch, Wichers LHY, Zeggelink EPH (2006) StOCNET: an open software system for the advanced statistical analysis of social networks. Version 1.7. ICS/SciencePlus, Groningen

  • Breiger RL, Boorman SA, Arabie P (1975) An algorithm for clustering relational data with applications to social network analysis and comparison with multidimensional scaling. J Math Psychol 12:328–383

    Article  Google Scholar 

  • Doreian P, Batagelj V, Ferligoj A (2005) Generalized blockmodeling. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  • Europa Publications (2009) Europa world year book, vol 2. Europa publication Ltd., London

  • Handcock MS, Hunter DR, Butts CT, Goodreau SM, Morris M (2003) statnet: software tools for the statistical modeling of network data. Version 2.1-1. Project home page at http://statnet.org. http://CRAN.Rproject.org/package=statnet

  • Handcock MS, Raftery AE, Tantrum JM (2007) Model-based clustering for social networks. J R Stat Soc Ser A (Stat Soc) 170:301–354. doi:10.1111/j.1467-985X.2007.00471.x

    Article  MathSciNet  Google Scholar 

  • Hartigan JA (1975) Clustering algorithms. Wiley, New York

    MATH  Google Scholar 

  • Hoff PD (2005) Bilinear mixed-effects models for dyadic data. J Am Stat Ass 100:286–295

    Article  MathSciNet  MATH  Google Scholar 

  • Hoff PD, Ward MD (2004) Modeling dependencies in international relations networks. Polit Anal 12:160–175

    Article  Google Scholar 

  • Hoff PD, Raftery AE, Handcock MS (2002) Latent space approaches to social network analysis. J Am Stat Ass 97:1090–1098

    Article  MathSciNet  MATH  Google Scholar 

  • Holland PW, Leinhardt S (1981) An exponential family of probability distributions for directed graphs. J Am Stat Ass 76:33–65

    Article  MathSciNet  MATH  Google Scholar 

  • Lorrain F, White HC (1971) Structural equivalence of individuals in social networks. J Math Sociol 1:49–80

    Article  Google Scholar 

  • Nemeth RJ, Smith DA (1985) International trade and world-system structure: a multiple network analysis. Review 8:517–560

    Google Scholar 

  • Nowicki K, Snijders TAB (2001) Estimation and prediction for stochastic blockstructures. J Am Stat Ass 96:1077–1087

    Article  MathSciNet  MATH  Google Scholar 

  • Snijders TAB, Nowicki K (1997) Estimation and prediction for stochastic block-structures for graphs with latent block structure. J Classif 14:75–100

    Article  MathSciNet  MATH  Google Scholar 

  • Snyder D, Kick EL (1979) Structural position in the world system and economic growth, 1955-1970: a multiple-network analysis of transnational interactions. Am J Sociol 84(5):1096–1126

    Article  Google Scholar 

  • Wasserman S, Anderson C (1987) Stochastic posteriori blockmodels: construction and assessment. Soc Netw 9:1–36

    Article  MathSciNet  Google Scholar 

  • Wasserman SS, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press, Cambridge

    Book  MATH  Google Scholar 

  • White HC, Boorman SA, Breiger RL (1976) Social-structure from multiple networks: I, blockmodels of roles and positions. Am J Sociol 81:730–780

    Article  Google Scholar 

  • Ziberna A (2013) Blockmodeling: an R package for generalized and classical blockmodeling of valued networks. R package version 0.1.8. http://CRAN.R-project.org/package=blockmodeling

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Authors and Affiliations

  1. Engineering Faculty, University of Zanjan, Zanjan, Iran

    Saeed NasehiMoghaddam

  2. Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

    Mehdi Ghazanfari

Authors
  1. Saeed NasehiMoghaddam
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  2. Mehdi Ghazanfari
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Correspondence to Saeed NasehiMoghaddam.

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NasehiMoghaddam, S., Ghazanfari, M. Structure and causality in the world system. Soc. Netw. Anal. Min. 6, 73 (2016). https://doi.org/10.1007/s13278-016-0378-1

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  • DOI: https://doi.org/10.1007/s13278-016-0378-1

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