Analysis of Collaboration Structures Through Time: The Case of Technological Districts

Abstract

In the present work we propose to analyze, through Multiple Factorial Analysis (MFA), the relational structure embedded in collaboration networks observed across time occasions. We show, through a case study, how the solutions provided by the MFA can be interpreted in a suitable way in the relational setting which arises in complex and heterogeneous networks. Valuable information about the strength and typology of the collaboration structure and its evolution can be obtained. As case study, we analyze a Technological District located in South Italy

Multiple factor analysis for time-varying two-mode networks

“…For example, in organizational studies, there is considerable interest in interlocking directorates and in the processes of directors' appointment to and departure from boards over time (Seierstad & Opsahl, 2011;Conaldi et al, 2012;Koskinen & Edling, 2012;Opsahl, 2013). In economic studies, the performances of public programs in the R&D sector can be evaluated in terms of outcome trajectories over time (Gordon & Heinrich, 2004) or by comparing actors' collaboration trajectories over time (D'Esposito et al, 2014b). In sociological studies, interest may lie in the evolution of web communities, group memberships and Facebook-like forum participation, employment preferences, scientific collaboration (Holme et al, 2007;Kang et al, 2007;Leydesdorff & Schank, 2008;Memon & Wiil, 2013;Opsahl, 2013;Snijders et al, 2013).…”