Strong Ties in a Small World

This paper examines the celebrated “strength of weak ties” theory of Granovetter (1973). We examine two hypotheses implied by the theory: one, for any three players with two links present, the probability of a third link being present is increasing in the strength of the two ties, and two, the removal of a weak tie breaks more shortest paths than the removal of a strong tie. This paper tests these hypotheses using data on co-authorship among economists. Our data supports the hypothesis of transitivity of strong ties, but it rejects the hypothesis that weak ties are more crucial than strong ties. We then propose an explanation for the strength of strong ties which builds on two properties of the network: one, significant inequality in the distribution of connections across individuals, and two, stronger ties among highly connected individuals.

[1]  Tore Opsahl,et al.  Prominence and control: the weighted rich-club effect. , 2008, Physical review letters.

[2]  S. Goyal Connections: An Introduction to the Economics of Networks , 2009 .

[3]  M. Macy,et al.  Complex Contagions and the Weakness of Long Ties1 , 2007, American Journal of Sociology.

[4]  Jari Saramäki,et al.  Emergence of communities in weighted networks. , 2007, Physical review letters.

[5]  J. Ramasco Social inertia and diversity in collaboration networks , 2006, physics/0612006.

[6]  A-L Barabási,et al.  Structure and tie strengths in mobile communication networks , 2006, Proceedings of the National Academy of Sciences.

[7]  J. Ramasco,et al.  Transport on weighted networks: When the correlations are independent of the degree. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  M. V. D. Leij The Economics of Networks: theory and empirics , 2006 .

[9]  S. Goyal,et al.  Economics: An Emerging Small World , 2004, Journal of Political Economy.

[10]  Péter Csermely,et al.  Weak links : stabilizers of complex systems from proteins to social networks , 2006 .

[11]  V. Yakubovich Weak Ties, Information, and Influence: How Workers Find Jobs in a Local Russian Labor Market , 2005 .

[12]  Roger Guimerà,et al.  Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance , 2005, Science.

[13]  Sanjeev Goyal,et al.  Strong and Weak Links , 2005 .

[14]  Alain Degenne Social capital: a theory of social structure and action , 2004 .

[15]  M. Newman Analysis of weighted networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  Alessandro Vespignani,et al.  Modeling the evolution of weighted networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  A. Vespignani,et al.  The architecture of complex weighted networks. , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[18]  M. Jackson,et al.  The Effects of Social Networks on Employment and Inequality , 2004 .

[19]  J. Moody The Structure of a Social Science Collaboration Network: Disciplinary Cohesion from 1963 to 1999 , 2004 .

[20]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[21]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[22]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[23]  S. N. Dorogovtsev,et al.  Evolution of networks , 2001, cond-mat/0106144.

[24]  Jie Wu,et al.  Small Worlds: The Dynamics of Networks between Order and Randomness , 2003 .

[25]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[26]  A. Barabasi,et al.  Weighted evolving networks. , 2001, Physical review letters.

[27]  A. Barabasi,et al.  Bose-Einstein condensation in complex networks. , 2000, Physical review letters.

[28]  M. Newman,et al.  The structure of scientific collaboration networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[29]  Martin G. Everett,et al.  Models of core/periphery structures , 2000, Soc. Networks.

[30]  S. Goyal,et al.  R&D Networks , 2000 .

[31]  A. Barabasi,et al.  Error and attack tolerance of complex networks , 2000, Nature.

[32]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[33]  Thomas Schøtt,et al.  Ties between Center and Periphery in the Scientific World-System: Accumulation of Rewards, Dominance and Self-Reliance in the Center , 1998 .

[34]  S. Goyal,et al.  Learning from neighbours , 1998 .

[35]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[36]  Soon Ang,et al.  Guanxi Networks and Job Mobility in China and Singapore , 1997 .

[37]  Ronald S. Burt,et al.  Structural Holes: The Social Structure of Competition. , 1994 .

[38]  S. Avineri,et al.  Communitarianism and individualism , 1992 .

[39]  Stephen J. McNamee,et al.  Social Networks of Science and Patterns of Publication in Leading Sociology Journals, 1960 to 1985 , 1990 .

[40]  Charles Taylor,et al.  Sources of the Self: The Making of the Modern Identity , 1990 .

[41]  Mark S. Granovetter T H E S T R E N G T H O F WEAK TIES: A NETWORK THEORY REVISITED , 1983 .

[42]  E. Rogers Diffusion of Innovations, Fourth Edition , 1982 .

[43]  Noah E. Friedkin,et al.  A test of structural features of granovetter's strength of weak ties theory , 1980 .

[44]  W. Zachary,et al.  An Information Flow Model for Conflict and Fission in Small Groups , 1977, Journal of Anthropological Research.

[45]  Leonard M. Freeman,et al.  A set of measures of centrality based upon betweenness , 1977 .

[46]  R. Merton,et al.  The Sociology of Science: Theoretical and Empirical Investigations , 1973 .

[47]  Mark S. Granovetter Getting a Job: A Study of Contacts and Careers , 1974 .

[48]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[49]  Torsten Hägerstrand,et al.  Innovation Diffusion As a Spatial Process , 1967 .

[50]  Sharon L. Milgram,et al.  The Small World Problem , 1967 .

[51]  October I Physical Review Letters , 2022 .