Adams, M (1999) Cross holdings in Germany. J Inst Theor Econ 155(1):80–109.
Google Scholar
Alon, U (2007) Network motifs: Theory and experimental approaches. Nat Rev Genet 8(6):450–461.
Article
Google Scholar
Barabási, AL (2016) Network Science. Cambridge University Press, Cambridge.
MATH
Google Scholar
Battiston, S, Farmer JD, Flache A, Garlaschelli D, Haldane AG, Heesterbeek H, Hommes C, Jaeger C, May R, Scheffer M (2016) Complexity theory and financial regulation. Science 351(6275):818–819.
Article
ADS
Google Scholar
Bender, EA, Canfield ER (1978) The asymptotic number of labeled graphs with given degree sequences. J Comb Theory Ser A 24(3):296–307.
Article
MathSciNet
MATH
Google Scholar
Benson, AR, Gleich DF, Leskovec J (2016) Higher-order organization of complex networks. Science 353(6295): 163–166.
Article
ADS
Google Scholar
Boccaletti, S, Bianconi G, Criado R, Del Genio CI, Gómez-Gardenes J, Romance M, Sendina-Nadal I, Wang Z, Zanin M (2014) The structure and dynamics of multilayer networks. Phys Rep 544(1):1–122.
Article
ADS
MathSciNet
Google Scholar
Boccaletti, S, Latora V, Moreno Y, Chavez M, Hwang DU (2006) Complex networks: Structure and dynamics. Phys Rep 424(4-5):175–308.
Article
ADS
MathSciNet
MATH
Google Scholar
Cardillo, A, Gómez-Gardeñes J, Zanin M, Romance M, Papo D, D.Pozo F, Boccaletti S (2013) Emergence of network features from multiplexity. Sci Rep 3:1344.
Article
ADS
Google Scholar
Carroll, WK (2013) The Making of a Transnational Capitalist Class: Corporate Power in the 21st Century. Zed Books Ltd., London.
Google Scholar
Choi, TY, Wu Z (2009) Triads in supply networks: Theorizing buyer–supplier–supplier relationships. J Supply Chain Manag 45(1):8–25.
Article
Google Scholar
Chung, F, Lu L (2002) Connected components in random graphs with given expected degree sequences. Ann Comb 6(2):125–145.
Article
MathSciNet
MATH
Google Scholar
Coleman, J (1998) Foundations of Social Theory. Harvard University Press, Cambridge, Massachusetts.
Google Scholar
Davis, GF (1991) Agents without principles? The spread of the poison pill through the intercorporate network. Adm Sci Q 36(4):583–613.
Article
Google Scholar
Davis, GF, Yoo M, Baker WE (2003) The small world of the American corporate elite, 1982–2001. Strateg Organ 1(3):301–326.
Article
Google Scholar
Dickison, ME, Magnani M, Rossi L (2016) Multilayer Social Networks. Cambridge University Press, Cambridge.
Book
Google Scholar
Erdős, P (1959) On random graphs. Publ Math 6:290–297.
MathSciNet
Google Scholar
Fohlin, C (1999) The rise of interlocking directorates in imperial Germany. Econ Hist Rev 52(2):307–333.
Article
Google Scholar
Fortunato, S (2010) Community detection in graphs. Phys Rep 486(3-5):75–174.
Article
ADS
MathSciNet
Google Scholar
Garcia-Bernardo, J, Takes FW (2017) The effects of data quality on the analysis of corporate board interlock networks. Information Systems (in press).
Garcia-Bernardo, J, Fichtner J, Takes FW, Heemskerk EM (2017) Uncovering offshore financial centers: Conduits and sinks in the global corporate ownership network. Sci Rep 7:6246. https://www.sciencedirect.com/science/article/pii/S0306437917302272. Accessed 16 Oct 2017.
Article
ADS
Google Scholar
Ghazizadeh, S, Chawathe SS (2002) SEuS: Structure Extraction Using Summaries In: Proceedings of the International Conference on Discovery Science, 71–85.. Springer.
Girvan, M, Newman ME (2002) Community structure in social and biological networks. Proc Natl Acad Sci 99(12):7821–7826.
Article
ADS
MathSciNet
MATH
Google Scholar
Gomez, S, Diaz-Guilera A, Gomez-Gardenes J, Perez-Vicente CJ, Moreno Y, Arenas A (2013) Diffusion dynamics on multiplex networks. Phys Rev Lett 110(2):028701.
Article
ADS
Google Scholar
Haiyan, H, Xifeng Y, Jiawei H, Jasmine ZX (2005) Mining coherent dense subgraphs across massive biological networks for functional discovery. Bioinformatics 21(1):213–221.
Google Scholar
Heemskerk, EM, Takes FW (2016) The corporate elite community structure of global capitalism. New Polit Econ 21(1):90–118.
Article
Google Scholar
Heemskerk, E, Young K, Takes FW, Cronin B, Garcia-Bernardo J, Henriksen LF, Winecoff WK, Popov V, Laurin-Lamothe A (2018) The promise and perils of using big data in the study of corporate networks: Problems, diagnostics and fixes. Glob Netw 18(1):3–32.
Article
Google Scholar
Heinze, T (2004) Dynamics in the German system of corporate governance? Empirical findings regarding interlocking directorates. Econ Soc 33(2):218–238.
Article
Google Scholar
Hellwig, MF (2009) Systemic risk in the financial sector: An analysis of the subprime-mortgage financial crisis. De Economist 157(2):129–207.
Article
Google Scholar
Jacomy, M, Venturini T, Heymann S, Bastian M (2014) Forceatlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software. PloS ONE 9(6):98679.
Article
ADS
Google Scholar
Kirkpatrick, G (2009) The corporate governance lessons from the financial crisis. OECD J Fin Mark Trends 2009(1):61–87.
Article
Google Scholar
Kivelä, M, Arenas A, Barthelemy M, Gleeson JP, Moreno Y, Porter MA (2014) Multilayer networks. J Complex Netw 2(3):203–271.
Article
Google Scholar
Koenig, T, Gogel R (1981) Interlocking corporate directorships as a social network. Am J Econ Sociol 40(1):37–50.
Article
Google Scholar
Kogut, BM (2012) The Small Worlds of Corporate Governance. MIT Press, Boston.
Book
Google Scholar
Kuramochi, M, Karypis G (2005) Finding frequent patterns in a large sparse graph. Data Min Knowl Discov 11(3):243–271.
Article
MathSciNet
Google Scholar
Märtens, M, Meier J, Hillebrand A, Tewarie P, Van Mieghem P (2017) Brain network clustering with information flow motifs. Appl Netw Sci 2(1):25.
Article
Google Scholar
McKay, BD, Piperno A (2014) Practical graph isomorphism, II. J Symb Comput 60:94–112.
Article
MathSciNet
MATH
Google Scholar
Milo, R, Shen-Orr S, Itzkovitz S, Kashtan N, Chklovskii D, Alon U (2002) Network motifs: Simple building blocks of complex networks. Science 298(5594):824–827.
Article
ADS
Google Scholar
Mizruchi, MS (1996) What do interlocks do? An analysis, critique, and assessment of research on interlocking directorates. Annu Rev Sociol 22(1):271–298.
Article
Google Scholar
Mucha, PJ, Richardson T, Macon K, Porter MA, Onnela JP (2010) Community structure in time-dependent, multiscale, and multiplex networks. Science 328(5980):876–878.
Article
ADS
MathSciNet
MATH
Google Scholar
Newman, MEJ, Park J (2003) Why social networks are different from other types of networks. Phys Rev E 68:036–122.
Google Scholar
Ohnishi, T, Takayasu H, Takayasu M (2010) Network motifs in an inter-firm network. J Econ Interac Coord 5(2):171–180.
Article
MATH
Google Scholar
Paranjape, A, Benson AR, Leskovec J (2017) Motifs in temporal networks In: Proceedings of the International Conference on Web Search and Data Mining, 601–610.. ACM.
Pastor-Satorras, R, Vespignani A (2001) Epidemic spreading in scale-free networks. Phys Rev Lett 86(14):3200.
Article
ADS
Google Scholar
Radicchi, F, Arenas A (2013) Abrupt transition in the structural formation of interconnected networks. Nat Phys 9(11):717.
Article
Google Scholar
Ribeiro, P, Silva F (2010) G-tries: An efficient data structure for discovering network motifs In: Proceedings of the ACM Symposium on Applied Computing, 1559–1566.. ACM.
Richardson, G, Wang B, Zhang X (2016) Ownership structure and corporate tax avoidance: Evidence from publicly listed private firms in China. J Contemp Account Econ 12(2):141–158.
Article
Google Scholar
Romijn, L, Nualláin BÓ, Torenvliet L (2015) Discovering motifs in real-world social networks In: Proceedings of the International Conference on Current Trends in Theory and Practice of Informatics, 463–474.. Springer.
Saeed, S, Saeed J (2015) Fast parallel all-subgraph enumeration using multicore machines. Sci Program 2015:901321.
Google Scholar
Schweitzer, F, Fagiolo G, Sornette D, Vega-Redondo F, Vespignani A, White DR (2009) Economic networks: The new challenges. Science 325(5939):422–425.
Article
ADS
MathSciNet
MATH
Google Scholar
Solé-Ribalta, A, De Domenico M, Arenas A (2014) Centrality rankings in multiplex networks In: Proceedings of the International Conference on Web Science, 149–155.. ACM.
Soskice, DW, Hall PA (2001) Varieties of Capitalism: The Institutional Foundations of Comparative Advantage. Oxford University Press, Oxford.
Google Scholar
Stark, D, Vedres B (2006) Social times of network spaces: Network sequences and foreign investment in Hungary. Am J Sociol 111(5):1367–1411.
Article
Google Scholar
Takes, FW, Heemskerk EM (2016) Centrality in the global network of corporate control. Soc Netw Anal Min 6(1):97.
Article
Google Scholar
Takes, FW, Kosters WA, Witte B (2017) Detecting motifs in multiplex corporate networks In: Proceedings of the 6th International Conference on Complex Networks and Applications. Studies in Computational Intelligence, 502–515.. Springer.
van Veen, K., Kratzer J (2011) National and international interlocking directorates within Europe: Corporate networks within and among fifteen European countries. Econ Soc 40(1):1–25.
Article
Google Scholar
Vitali, S, Glattfelder JB, Battiston S (2011a) The network of global corporate control. PloS ONE 6(10):1–6.
Article
Google Scholar
Vitali, S, Glattfelder JB, Battiston S (2011b) The network of global corporate control. PloS ONE 6(10):e25995.
Article
ADS
Google Scholar
Watts, DJ, Strogatz SH (1998) Collective dynamics of ’small-world’ networks. Nature 393(6684):440.
Article
ADS
MATH
Google Scholar
Wernicke, S (2005) A faster algorithm for detecting network motifs In: Proceedings of the Workshop on Algorithms in Bioinformatics, 165–177.. Springer.
Wilhite, A (2001) Bilateral trade and ‘small-world’ networks. Comput Econ 18(1):49–64.
Article
ADS
MATH
Google Scholar
Windolf, P (2002) Corporate Networks in Europe and the United States. Oxford University Press, Oxford.
Book
Google Scholar
Windolf, P, Beyer J (1996) Co-operative capitalism: Corporate networks in Germany and Britain. Br J Sociol 47(2):205–231.
Article
Google Scholar
Zhang, X, Shao S, Stanley HE, Havlin S (2014) Dynamic motifs in socio-economic networks. Europhys Lett 108(5):58001.
Article
ADS
Google Scholar