TY - GEN
T1 - Can You Always Reap What You Sow? Network and Functional Data Analysis of Venture Capital Investments in Health-Tech Companies
AU - Esposito, Christian
AU - Gortan, Marco
AU - Testa, Lorenzo
AU - Chiaromonte, Francesca
AU - Fagiolo, Giorgio
AU - Mina, Andrea
AU - Rossetti, Giulio
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - “Success” of firms in venture capital markets is hard to define, and its determinants are still poorly understood. We build a bipartite network of investors and firms in the healthcare sector, describing its structure and its communities. Then, we characterize “success” by introducing progressively more refined definitions, and we find a positive association between such definitions and the centrality of a company. In particular, we are able to cluster funding trajectories of firms into two groups capturing different “success” regimes and to link the probability of belonging to one or the other to their network features (in particular their centrality and the one of their investors). We further investigate this positive association by introducing scalar as well as functional “success” outcomes, confirming our findings and their robustness.
AB - “Success” of firms in venture capital markets is hard to define, and its determinants are still poorly understood. We build a bipartite network of investors and firms in the healthcare sector, describing its structure and its communities. Then, we characterize “success” by introducing progressively more refined definitions, and we find a positive association between such definitions and the centrality of a company. In particular, we are able to cluster funding trajectories of firms into two groups capturing different “success” regimes and to link the probability of belonging to one or the other to their network features (in particular their centrality and the one of their investors). We further investigate this positive association by introducing scalar as well as functional “success” outcomes, confirming our findings and their robustness.
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U2 - 10.1007/978-3-030-93409-5_61
DO - 10.1007/978-3-030-93409-5_61
M3 - Conference contribution
AN - SCOPUS:85122539436
SN - 9783030934088
T3 - Studies in Computational Intelligence
SP - 744
EP - 755
BT - Complex Networks and Their Applications X - Proceedings of the 10th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021
A2 - Benito, Rosa Maria
A2 - Cherifi, Chantal
A2 - Cherifi, Hocine
A2 - Moro, Esteban
A2 - Rocha, Luis M.
A2 - Sales-Pardo, Marta
PB - Springer Science and Business Media Deutschland GmbH
T2 - 10th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2021
Y2 - 30 November 2021 through 2 December 2021
ER -