Dynamic motifs in socio-economic networks

Socio-economic networks are of central importance in economic life.We develop a method of identifying and studying motifs in socio-economic networks by focusing on "dynamic motifs,"i.e., evolutionary connection patterns that, because of "node acquaintances "i n the net- work, occur much more frequently than random patterns. We examine two evolving bi-partite networks: i) the world-wide commercial ship chartering market and ii) the shipbuild-to-order market. We find similar dynamic motifs in both bipartite networks, eventhough they describe different economic activities. We also find that "influence" and "persistence" are strong factors in the interaction behavior of organizations. When two companies are doing business with the same customer, it is highly probable that another customer who currently only has business relationship with one of these two companies, will become customer of the second inthe future. This is the effect of influence. Persistence means that companies with close business ties to customers tend to maintain their relationships over a long period of time.

[1]  Cohen,et al.  Resilience of the internet to random breakdowns , 2000, Physical review letters.

[2]  A. Barabasi,et al.  Analysis of a large-scale weighted network of one-to-one human communication , 2007, physics/0702158.

[3]  Manuel Ferreira Networks of Networks: The Last Frontier of Complexity-A Book Review , 2014 .

[4]  R. Milo,et al.  Topological generalizations of network motifs. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  Yunjun Gao,et al.  Web Technologies and Applications , 2016, Lecture Notes in Computer Science.

[6]  James Roberts,et al.  Network structure of production , 2011, Proceedings of the National Academy of Sciences.

[7]  Antonio Scala,et al.  Networks of Networks: The Last Frontier of Complexity , 2014 .

[8]  R. Rosenfeld Nature , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[9]  Reuven Cohen,et al.  Complex Networks: Structure, Robustness and Function , 2010 .

[10]  Harry Eugene Stanley,et al.  Calling patterns in human communication dynamics , 2013, Proceedings of the National Academy of Sciences.

[11]  Valeri Mladenov,et al.  Nonlinear Dynamics of Electronic Systems , 2014, Communications in Computer and Information Science.

[12]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[13]  I. Lyashenko,et al.  Statistical theory of the boundary friction of atomically flat solid surfaces in the presence of a lubricant layer , 2012 .

[14]  Mohamed A. Sharaf,et al.  Web Technologies and Applications - 13th Asia-Pacific Web Conference, APWeb 2011, Beijing, China, April 18-20, 2011. Proceedings , 2011, APWeb.

[15]  Jari Saramäki,et al.  Temporal motifs in time-dependent networks , 2011, ArXiv.

[16]  Sergi Valverde,et al.  Network motifs in computational graphs: a case study in software architecture. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  宁北芳,et al.  疟原虫var基因转换速率变化导致抗原变异[英]/Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A , 2005 .