Better connected, more reputable? On the association between node centrality and academic reputation in the European Union research and innovation networks

Abstract

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Complementarity of additionalities resulting from European Union funds: Perspective of the users of research infrastructures

“…Thus, policies should aim to promote more equitable distribution of research funds and encourage organizations located in countries with less developed research and education systems to increase their engagement. This would provide clear benefits in a variety of ways (including enhanced reputation and credibility), in addition to positively contributing to the effectiveness of the European Research Area (Calignano, 2021).…”

Not all peripheries are the same: The importance of relative regional innovativeness in transnational innovation networks

“…In addition, Balland et al. (2019) and Calignano (2021) applied various SNA measures, such as degree, betweenness, eigenvector, and structural holes, to assess the network dynamics in the H2020 program by using countries and regions as units of analysis in their reconstructed case‐by‐case matrices.…”

“…In other words, a high level of betweenness makes certain regions particularly influential, as their domestic organizations can “control” the relevant information exchanged in a given network by managing and filtering the knowledge acquired from other regions. In this way, they may act as either structural bridges (nodes connecting one part of a graph to another) or, conversely, hinder the knowledge transfer between disconnected regions (Balland et al., 2013; Calignano, 2021; Calignano & Trippl, 2020). Moreover, these regions may hold a particularly advantageous position through which they can benefit from different interregional knowledge flows, enabling the compensation for the missing technological capabilities (Balland et al., 2013; Tóth et al, 2020).…”

“…For example, Tóth et al (2020) used SNA to demonstrate the existing link between the economic network structures of the EU regions and their resilience to economic shocks, and Balland and Boschma (2021) showed how interregional linkages among the various EU regions determine a positive effect in terms of regional diversification. In addition, Balland et al (2019) and Calignano (2021) applied various SNA measures, such as degree, betweenness, eigenvector, and structural holes, to assess the network dynamics in the H2020 program by using countries and regions as units of analysis in their reconstructed case-by-case matrices.…”

Learning, policy instruments and networks in EU policy‐making—Trends in European policy analysis

“…Different to industrial companies, academic institutions seek to increase their reputation and ensure funding of research by collaborating within inter‐organizational networks. To what extent these activities actually contribute to academic reputation is analyzed in the article by Calignano (2020). He finds that the centrality of academic institutions in research and innovation networks is indeed related to the increased reputation of this institution, and that it is fruitful for less renowned institutions to interact with established and central institutions to build a reputation.…”