activity
19992021
most citedCausality-Driven Slow-Down and Speed-Up of Diffusion in Non-Markovian Temporal Networks

314 citations · 1.5k across the 38 of their papers we have counts for

collaborators

42 papers

cs.SI2021

The Complex Community Structure of the Bitcoin Address Correspondence Network

Jan Alexander Fischer, Andres Palechor, Daniele Dell'Aglio +2

Bitcoin is built on a blockchain, an immutable decentralised ledger that allows entities (users) to exchange Bitcoins in a pseudonymous manner. Bitcoins are associated with alpha-n…

physics.soc-ph2015

Quantifying knowledge exchange in R&D networks: A data-driven model

Giacomo Vaccario, Mario Vincenzo Tomasello, Claudio Juan Tessone +1

We propose a model that reflects two important processes in R&D activities of firms, the formation of R&D alliances and the exchange of knowledge as a result of these collaboration…

cs.SE2015★ 8 cited

How do OSS projects change in number and size? A large-scale analysis to test a model of project growth

Frank Schweitzer, Vahan Nanumyan, Claudio J. Tessone +1

Established Open Source Software (OSS) projects can grow in size if new developers join, but also the number of OSS projects can grow if developers choose to found new projects. We…

physics.soc-ph2015★ 16 cited

A model of dynamic rewiring and knowledge exchange in R&D networks

Mario Vincenzo Tomasello, Claudio Juan Tessone, Frank Schweitzer

This paper investigates the process of knowledge exchange in inter-firm Research and Development (R&D) alliances by means of an agent-based model. Extant research has pointed out t…

physics.soc-ph2014

The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy

David Garcia, Claudio Juan Tessone, Pavlin Mavrodiev +1

What is the role of social interactions in the creation of price bubbles? Answering this question requires obtaining collective behavioural traces generated by the activity of a la…

physics.soc-ph2014★ 54 cited

The role of endogenous and exogenous mechanisms in the formation of R&D networks

Mario Vincenzo Tomasello, Nicola Perra, Claudio Juan Tessone +2

We develop an agent-based model of strategic link formation in Research and Development (R&D) networks. Empirical evidence has shown that the growth of these networks is driven by…