Abstract
The Portuguese governmental network comprising all the 776 ministers and junior ministers who were part of the 19 governments between the year 1976 and 2013 is presented and analyzed. The data contain information on connections concerning business and other types of organizations and, to our knowledge, there is no such extensive research in previous literature. Upon the presentation of the data, a social network analysis considering the temporal dimension is performed at three levels of granularity: network-level, subnetwork-level (political groups) and node-level. A discussion based on the results is presented. We conclude that although it fits two of the four preconditions of a small-world model, the Portuguese governmental network is not a small-world network, although presenting an evolution pointing toward becoming one. Also, we use a resilience test to study the evolution of the robustness of the Portuguese governmental network, pinpointing the moment when a set of members became structurally important.
Similar content being viewed by others
Notes
This research was carried out by Nuno Moniz and Adriano Campos.
This was the year of the first constitutional government after the Carnation Revolution.
Grupo Mello, Grupo Champalimaud, BES, BCP, Santander, Mota-Engil, PT, BPI, CGD, SONAE, Jerónimo Martins, Américo Amorim.
The only individual which did not take part of those governments was António de Sousa Franco (PS).
References
Adamic LA (1999) The small world web. In: Abiteboul S, Vercoustre AM (eds) Research and advanced technology for digital libraries. Springer, Heidelberg, pp 443–452
Agrawal A, Knoeber C (2001) Do some outside directors play a political role? J Law Econ 44(1):179–198
Bandeira-de Mello R, Marcon R (2011) The value of business group affiliation for political connections: preferential lending in Brazil. In: AOM (ed) Annual meeting of the academy of management, vol 2
Barabási AL, Bonabeau E (2003) Scale-free networks. Sci Am 288:60–69
Barrat A, Barthelemy M, Pastor-Satorras R, Vespignani A (2004) The architecture of complex weighted networks. Proc Natl Acad Sci USA 101(11):3747–3752
Bassett DS, Bullmore E (2006) Small-world brain networks. The Neuroscientist 12(6):512–523
Bello J, Rolfe M (2014) Is influence mightier than selection? Forging agreement in political discussion networks during a campaign. Soc Netw 36:134–146
Bertrand M, Kramarz F, Schoar A, Thesmar D (2004) Politically connected CEOs and corporate outcomes: Evidence from France. CEPR Working paper, London, UK
Bonacich P (1972) Factoring and weighting approaches to status scores and clique identification. J Math Sociol 2(1):113–120
Boubakri N, Cosset JC, Saffar W (2008) Political connections of newly privatized firms. J Corp Finance 14(5):654–673
Brandes U (2001) A faster algorithm for betweenness centrality\(^{*}\). J Math Sociol 25(2):163–177
Camp R (2007) Politics in Mexico. The democratic consolidation, 5th edn. Oxford University Press, Oxford
Claessens S, Feijen E, Laeven L (2007) Political connections and preferential access to finance: the role of campaign contributions. Technology report 6045, C.E.P.R. discussion papers
Clauset A, Shalizi CR, Newman MEJ (2009) Power-law distributions in empirical data. SIAM Rev 51(4):661–703
Costa J, Fazenda L, Honório C, Louçã F, Rosas F (2010) Os Donos de Portugal. Afrontamento
Cull R, Xu L (2005) Institutions, ownership, and finance: the determinants of profit reinvestment among Chinese firms. J Financ Econ 77(1):117–146
Davis GF, Yoo M, Baker WE (2003) The small world of the American corporate elite, 1982–2001. Strateg Organ 1(3):301–326
Dinc S (2005) Politicians and banks: political influences on government-owned banks in emerging markets. J Financ Econ 77(2):453–479
Dunbar RI (1992) Neocortex size as a constraint on group size in primates. J Hum Evol 22(6):469–493
Ebel H, Mielsch LI, Bornholdt S (2002) Scale-free topology of e-mail networks. Phys Rev E 66(3):035,103
Erdős P, Rényi A (1960) On the evolution of random graphs. Publ Math Inst Hung Acad Sci 5(1960):17–61
Faccio M, Masulis RW, McConnell JJ (2006) Political connections and corporate bailouts. J Finance 61(6):2597–2635
Freeman LC (1979) Centrality in social networks: conceptual clarification. Soc Netw 1(3):215–239
Gil-Mendieta J, Schmidt S (1996) The political network in Mexico. Soc Netw 18(4):355–381
Heaney MT (2014) Multiplex networks and interest group influence reputation: an exponential random graph model. Soc Netw 36:66–81
Joyce KE, Hayasaka S, Laurienti PJ (2013) The human functional brain network demonstrates structural and dynamical resilience to targeted attack. PLoS Comput Biol 9(1):e1002,885
Khwaja AI, Mian A (2005) Do lenders favor politically connected firms? Rent provision in an emerging financial market. Q J Econ 120(4):1371–1411
Li X, Jin YY, Chen G (2003) Complexity and synchronization of the World trade web. Phys A 328(1):287–296
Li H, Meng L, Wang Q, Zhou LA (2008) Political connections, financing and firm performance: evidence from Chinese private firms. J Dev Econ 87(2):283–299
Li W, Cai X (2007) Empirical analysis of a scale-free railway network in China. Phys A 382(2):693–703
Louçã F, Lopes JT, Costa J (2014) Os Burgueses. Bertrand
Lusseau D (2003) The emergent properties of a dolphin social network. Proc R Soc Lond B Biol Sci 270(Suppl 2):S186–S188
McClurg SD, Young JK (2011) Political networks. Polit Sci Polit: PS 44(1):39–43
Mendieta JG, Schmidt S, Castro J, Ruiz A (1997) A dynamic analysis of the Mexican power network. Connections 20(2):34–55
Mokken RJ, Stokman FN (1978–1979) Corporate-governmental networks in the Netherlands. Soc Netw 1(4):333–358
Moniz N, Campos A (2015) Relational data on members of portuguese governments (1976–2014). Data 1(1):1. http://www.mdpi.com/2306-5729/1/1/1. doi:10.3390/data1010001
Montoya JM, Solé RV (2002) Small world patterns in food webs. J Theor Biol 214(3):405–412
Newman ME (2001a) Scientific collaboration networks II. Shortest paths, weighted networks, and centrality. Phys Rev E 64(1):016132
Newman ME (2001b) The structure of scientific collaboration networks. Proc Natl Acad Sci 98(2):404–409
Newman ME (2004) Analysis of weighted networks. Phys Rev E 70(5):056131
Newman ME (2005) Power laws, Pareto distributions and Zipf’s law. Contemp Phys 46(5):323–351
Niessen A, Ruenzi S (2009) Political connectedness and firm performance: evidence from Germany. CFR Working Papers 07-15, University of Cologne, Centre for Financial Research (CFR)
Opsahl T, Agneessens F, Skvoretz J (2010) Node centrality in weighted networks: generalizing degree and shortest paths. Soc Netw 32(3):245–251
Parigi P, Sartori L (2014) The political party as a network of cleavages: disclosing the inner structure of italian political parties in the seventies. Soc Netw 36:54–65
Price DDS (1976) A general theory of bibliometric and other cumulative advantage processes. J Am Soc Inf Sci 27(5):292–306
Ribeiro J, Fernandes L, Ramos M (1987) Grande indústria, banca e grupos financeiros (1953–73). Anál Soc 23(99):745–1018
Siegel DA (2011) Social networks in comparative perspective. Polit Sci Polit: PS 44(1):51–54
Sinclair PA (2007) A representation for the Mexican political networks. Soc Netw 29(1):81–92
Sinclair PA (2011) The political networks of Mexico and measuring centralization. Procedia Soc Behav Sci 10:26–35
Szwarcberg M (2012) Revisiting clientelism: a network analysis of problem-solving networks in Argentina. Soc Netw 34(2):230–240
Walsh T (1999) Search in a small world. IJCAI 99:1172–1177
Watts DJ (1999) Networks, dynamics, and the small-world phenomenon 1. Am J Sociol 105(2):493–527
Watts DJ, Strogatz SH (1998) Collective dynamics of small-world networks. Nature 393(6684):440–442
Acknowledgments
The authors would like to thank the anonymous reviewers, João Teixeira Lopes, Jorge Costa and Adriano Campos for their comments and reviews. Nuno Moniz gratefully acknowledges funding from FCT (Portuguese Foundation for Science and Technology) through a PhD Grant (SFRH/BD/90180/2012). Renato Soeiro gratefully acknowledges funding from FCT through a PhD Grant (SFRH/BD/88742/2012). Márcia Oliveira gratefully acknowledges funding from FCT through a PhD Grant (SFRH/BD/81339/2011). Nuno Moniz, Renato Soeiro and Márcia Oliveira acknowledge financial support by the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme within project «POCI-01-0145-FEDER-006961», and by National Funds through the FCT as part of project UID/EEA/50014/2013. Francisco Louçã acknowledges financial support by FCT as part of the strategic project PEst-OE/EGE/UI0436/2014.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Moniz, N., Louçã, F., Oliveira, M. et al. Empirical analysis of the Portuguese governments social network. Soc. Netw. Anal. Min. 6, 43 (2016). https://doi.org/10.1007/s13278-016-0348-7
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s13278-016-0348-7