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Complex Network Analysis in Socioeconomic Models

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Complexity and Geographical Economics

Part of the book series: Dynamic Modeling and Econometrics in Economics and Finance ((DMEF,volume 19))

Abstract

This chapter aims at reviewing complex network models and methods that were either developed for or applied to socioeconomic issues, and pertinent to the theme of New Economic Geography. After an introduction to the foundations of the field of complex networks, the present summary adds insights on the statistical mechanical approach, and on the most relevant computational aspects for the treatment of these systems. As the most frequently used model for interacting agent-based systems, a brief description of the statistical mechanics of the classical Ising model on regular lattices, together with recent extensions of the same model on small-world Watts–Strogatz and scale-free Albert-Barabási complex networks is included. Other sections of the chapter are devoted to applications of complex networks to economics, finance, spreading of innovations, and regional trade and developments. The chapter also reviews results involving applications of complex networks to other relevant socioeconomic issues, including results for opinion and citation networks. Finally, some avenues for future research are introduced before summarizing the main conclusions of the chapter.

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Notes

  1. 1.

    The word was first coined by Siey’s in 1780 (Guilhaumou 2006).

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Acknowledgements

This work has been performed in the framework of COST Action IS1104 “The EU in the new economic complex geography: models, tools and policy evaluation”.

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Authors and Affiliations

  1. Grupo de Nanomateriais e Materia Branda, Departamento de Física da Materia Condensada, Universidad de Santiago de Compostela, Campus Vida s/n, 15782, Santiago de Compostela, Spain

    Luis M. Varela & Jesús Carrete

  2. Department of Methods and Models for Economics, Territory and Finance, Sapienza University of Rome, via del Castro Laurenziano 9, 00161, Rome, Italy

    Giulia Rotundo

  3. Rés. Beauvallon, rue de la Belle Jardiniére, 483/0021, 4031 Liège Angleur, Euroland, Belgium

    Marcel Ausloos

  4. eHumanities Group, Royal Netherlands Academy of Arts and Sciences, Joan Muyskenweg 25, 1096, CJ Amsterdam, The Netherlands (previously at GRAPES, ULG, Liege, Belgium)

    Marcel Ausloos

  5. LITEN, CEA-Grenoble, 17 rue des Martyrs, BP166, 38054, Grenoble, Cedex 9, France

    Jesús Carrete

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  1. Luis M. Varela
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  2. Giulia Rotundo
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  4. Jesús Carrete
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Correspondence to Luis M. Varela .

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  1. Department of Law, University of Naples "Federico II", Naples, Italy

    Pasquale Commendatore

  2. Department of Management Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

    Saime Kayam

  3. Department of Economics, WU Vienna University of Economics and Business, Vienna, Austria

    Ingrid Kubin

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Varela, L.M., Rotundo, G., Ausloos, M., Carrete, J. (2015). Complex Network Analysis in Socioeconomic Models. In: Commendatore, P., Kayam, S., Kubin, I. (eds) Complexity and Geographical Economics. Dynamic Modeling and Econometrics in Economics and Finance, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-319-12805-4_9

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