• Fragile, yet Resilient: Adaptive Decline in a Collaboration Network of Firms (2021)

Frank Schweitzer; Giona Casiraghi; Mario Vincenzo Tomasello; David Garcia

Frontiers in Applied Mathematics and Statistics, 10 March 2021, https://www.frontiersin.org/articles/10.3389/fams.2021.634006/full

• Quantifying knowledge exchange in R&D networks: A data-driven model (2018)

Giacomo Vaccario; Mario Vincenzo Tomasello; Claudio Juan Tessone; Frank Schweitzer

Journal of Evolutionary Economics, 28(3), pp. 461-493, https://doi.org/10.1007/s00191-018-0569-1

• Modeling the formation of R&D alliances: an agent-based model with empirical validation (2017)

Tomasello, Mario Vincenzo; Burkholz, Rebekka; Schweitzer, Frank

Economics e-journal (2017), Discussion Papers, No. 2017-107, Kiel Institute for the World Economy

• Data-driven modeling of collaboration networks: a cross-domain analysis (2017)

Tomasello, Mario Vincenzo; Vaccario, Giacomo; Schweitzer, Frank

EPJ Data Science (2017) 6:22 - DOI 10.1140/epjds/s13688-017-0117-5

• The Rise and Fall of R&D Networks (2017)

Tomasello, Mario Vincenzo; Napoletano, Mauro; Garas, Antonios; Schweitzer, Frank

Oxford University Press - Industrial and Corporate Change, 2017, Vol. 26, No. 4, 617–646. Published online 25 October 2016, doi: 10.1093/icc/dtw041

• Innovator Networks 2nd Edition (2017)

Tomasello, Mario Vincenzo; Schweitzer, Frank

Encyclopedia of Social Network Analysis and Mining (Springer) 2017, pp. 1-7, doi:10.1007/978-1-4614-7163-9_368-1

• A model of dynamic rewiring and knowledge exchange in R&D networks (2016)

Tomasello, Mario Vincenzo; Tessone, Claudio Juan; Schweitzer, Frank

Advances in Complex Systems, volume: 19, number: 1 - 2, 1650004

• Collaboration networks: their formation and evolution (2015) - Doctoral Thesis

What are collaboration networks? In which domains can we observe them? How do they originate and evolve? My doctoral thesis addresses these questions, with an emphasis on those networks in which every link-formation event involves a knowledge flow. The thesis performs a state-of-the-art empirical analysis of two prominent examples of such systems — namely R&D and co-authorship networks — to determine the mechanisms for link formation and knowledge exchange between individual agents. Next, I have developed a set of agent-based models that are able to reproduce a number of relevant observed features, and studied how the microscopic rules for link formation affect the performance generated by these systems.

Remarkably, the models developed in my thesis are able to reproduce a large number of measures characterizing the network topology, and the motion of the agents in a real knowledge space (measured through patents), as a consequence of their collaborations. One of the most remarkable findings of the thesis is that, in all analyzed collaborative networks, over 60% of the observed links are explained by network-endogenous mechanisms, i.e. previous links, belonging to existing network communities or existing network structures — and not the commercial, scientific or technical capital of the involved agents.

These results have an impact spanning from complex systems design to management science. Indeed, not only does my thesis provide a unique methodology to systematically study link formation and knowledge exchange in dynamically evolving collaboration networks, but it also offers a procedure that allows to assess the performance of real systems and gives an indication on how to optimize them.

• The effect of R&D collaborations on firms' technological positions (2015)

Tomasello, Mario Vincenzo; Tessone, Claudio Juan; Schweitzer, Frank

In Proceedings of the 10th International Forum IFKAD 2015, p.260

• Innovator Networks (2014)

Tomasello, Mario Vincenzo; Mueller, Moritz; Schweitzer, Frank

Encyclopedia of Social Network Analysis and Mining (Springer) 2014, pp. 737-742. DOI 10.1007/978-1-4614-6170-8_368

• The Role of Endogenous and Exogenous Mechanisms in the Formation of R&D Networks (2014)

Tomasello, Mario Vincenzo; Perra, Nicola; Tessone, Claudio Juan; Karsai, Marton; Schweitzer, Frank

Scientific Reports (Nature Publishing Group), pages: 5679, volume: 4

• Selection rules in alliance formation: Strategic decisions or abundance of choice? (2014)

Garas, Antonios; Tomasello, Mario Vincenzo; Schweitzer, Frank

ArXiv:1403.3298

• Analyses of the As doping of SiO2/Si/SiO2 nanostructures (2011)

Francesco Ruffino, Mario Vincenzo Tomasello, Maria Miritello, Riccardo De Bastiani, Giuseppe Nicotra, Corrado Spinella, Maria Grazia Grimaldi

Physica Status Solidi C , Vol. 8, No. 3, 863 – 866 (2011) / DOI 10.1002/pssc.201000044

• Nanostructuring in Ge by self-ion implantation (2010)

L. Romano, G. Impellizzeri, M. V. Tomasello, F. Giannazzo, C. Spinella, M. G. Grimaldi

Journal of Applied Physics 107, 084314 (2010)

• As doping of Si-based low-dimensional systems (2010)

F. Ruffino, M. V. Tomasello, M. Miritello, G. Nicotra, C. Spinella, M. G. Grimaldi

Applied Physics Letters 96, 093116 (2010)