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A longitudinal analysis of link formation on collaboration networks

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  • Abbasi, Alireza

Abstract

Understanding the structural change and evolution of networks for predicting their dynamics is one of the fundamental problems in network related studies. In order to uncover the dynamic structural patterns of a network over time, it is vital to investigate the ways nodes behave at a local level. So, it is important to know the reasons why nodes stop a relationship or select a new partner, compared to other alternatives, for establishing a link. This study aims to understand the processes of network evolution by quantitatively examining the attachment behaviors of nodes in a real collaboration network by identifying the characteristics of the existing nodes which can impact on their link formation process. To do so, different link formation or attachment processes such as cohesiveness, cumulative advantage, assortative mixing, and structural position are examined. The results indicate that structural position, the tendency to connect to the nodes in a strategic intermediating position in the network, is the most effective processes that expose the attachment behavior of nodes during the evolution of a collaboration network. Understanding these effective processes can help to predict more precisely how the nodes’ local structure and consequently the overall network structural change over time. This could support researchers, decision makers or practitioners to manage the nodes (agents) in their social or technical networks (systems) for reaching their organizational goals.

Suggested Citation

  • Abbasi, Alireza, 2016. "A longitudinal analysis of link formation on collaboration networks," Journal of Informetrics, Elsevier, vol. 10(3), pages 685-692.
    • Handle: RePEc:eee:infome:v:10:y:2016:i:3:p:685-692
    DOI: 10.1016/j.joi.2016.05.001
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    References listed on IDEAS

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    1. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    2. Gautam Ahuja & Giuseppe Soda & Akbar Zaheer, 2012. "The Genesis and Dynamics of Organizational Networks," Organization Science, INFORMS, vol. 23(2), pages 434-448, April.
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    5. Lori Rosenkopf & Giovanna Padula, 2008. "Investigating the Microstructure of Network Evolution: Alliance Formation in the Mobile Communications Industry," Organization Science, INFORMS, vol. 19(5), pages 669-687, October.
    6. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "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," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
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    8. Alireza Abbasi & Jorn Altmann, 2010. "A Social Network System for Analyzing Publication Activities of Researchers," TEMEP Discussion Papers 201058, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Apr 2010.
    9. Alireza Abbasi, 2013. "h-Type hybrid centrality measures for weighted networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 633-640, August.
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    Cited by:

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    2. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.

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