Investigating Preferential Attachment Behavior over the Evolution of Disaster Response Networks

This study aims to understand the mechanisms of disaster response network evolution by quantitatively examining the actors' attachment behaviors in a real disaster collaboration networks. We aim to do this by identifying the characteristic of existing actors and its impact in forming new connection over time. To quantify actors' attachment logics (i.e., preferential attachment), different options of attachments (between and among new and existing actors) are considered. The result indicates the existence of cumulative advantage for actors involved in a response network to a disaster. We argue that by understanding the mechanisms of network evolution, we can predict more precisely how the behavior of actors and network structure evolve over time. This can assist researchers, decision makers or practitioners to manage and support collaboration of actors in their systems for reaching their organizational goals. The overall findings of this study can contribute further to the development of network organizational theory, organizational learning theory and self-organizations in different contexts especially disaster and emergency response management.

[1]  W. Powell,et al.  Network Dynamics and Field Evolution: The Growth of Interorganizational Collaboration in the Life Sciences1 , 2005, American Journal of Sociology.

[2]  P. Holland,et al.  Transitivity in Structural Models of Small Groups , 1971 .

[3]  Thomas J. Fararo,et al.  A study of a biased friendship net , 1964 .

[4]  Liaquat Hossain,et al.  Investigating Attachment Behavior of Nodes during Evolution of a Complex Social Network: - A Case of a Scientific Collaboration Network , 2011, KES.

[5]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[6]  Thomas W. Valente Network models of the diffusion of innovations , 1996, Comput. Math. Organ. Theory.

[7]  Naim Kapucu,et al.  Structural Dynamics of Organizations during the Evolution of Interorganizational Networks in Disaster Response , 2012 .

[8]  Thomas A. DiPrete,et al.  Cumulative Advantage as a Mechanism for Inequality: A Review of Theoretical and Empirical Developments , 2006 .

[9]  Loet Leydesdorff,et al.  Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks , 2011, J. Informetrics.

[10]  David Knoke,et al.  How Organizational Field Networks Shape Interorganizational Tie-Formation Rates , 2002 .

[11]  C. Darwin The Origin of Species by Means of Natural Selection, Or, The Preservation of Favoured Races in the Struggle for Life , 2019 .

[12]  W. G. Astley The Two Ecologies: Population and Community Perspectives on Organizational Evolution. , 1985 .

[13]  R. Gulati Social Structure and Alliance Formation Patterns: A Longitudinal Analysis , 1995 .

[14]  Derek de Solla Price,et al.  A general theory of bibliometric and other cumulative advantage processes , 1976, J. Am. Soc. Inf. Sci..

[15]  Peter R. Monge,et al.  Communication Network Evolution in Organizational Communities , 2008 .

[16]  Johannes Glückler Economic Geography and the Evolution of Networks , 2007 .

[17]  D. Campbell Blind variation and selective retention in creative thought as in other knowledge processes. , 1960, Psychological review.

[18]  John Scott Social Network Analysis , 1988 .

[19]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[20]  B. Kogut,et al.  Social Capital, Structural Holes and the Formation of an Industry Network , 1997 .

[21]  G. Yule,et al.  A Mathematical Theory of Evolution Based on the Conclusions of Dr. J. C. Willis, F.R.S. , 1925 .

[22]  J. Coleman,et al.  Social Capital in the Creation of Human Capital , 1988, American Journal of Sociology.

[23]  D. Watts The “New” Science of Networks , 2004 .

[24]  P. Killworth,et al.  Studying social relations cross-culturally , 1988 .

[25]  Marshall Scott Poole,et al.  Handbook of Organizational Change and Innovation , 2004 .

[26]  Joel Podolny Market Uncertainty and the Social Character of Economic Exchange , 1994 .

[27]  Stuart A. Kauffman,et al.  The origins of order , 1993 .

[28]  Ulrik Brandes,et al.  Centrality Measures Based on Current Flow , 2005, STACS.

[29]  Neil Rubens,et al.  Transforming Innovation Ecosystems through Shared Vision and Network Orchestration , 2011 .

[30]  R. Merton The Matthew Effect in Science , 1968, Science.

[31]  R. Gulati,et al.  Where Do Interorganizational Networks Come From?1 , 1999, American Journal of Sociology.

[32]  Jörn Altmann,et al.  Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures , 2011, J. Informetrics.

[33]  W. Powell,et al.  Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology. , 1996 .