«Complexity on socio- techno- economic systems»

Prof. Dr. Claudio J. Tessone , Assistant Professor for Network Science

at the University of Zurich (Faculty of Economics, Business Administration and Information Technologies), where he also serves as co-director of the University Priority Programme on Social Networks. He holds a Masters and PhD in Physics, where he studied stochastic processes and the role of heterogeneity in complex, interacting systems. Prior to his current appointment, he was senior researcher at the Chair of Systems Design of the Department of Management, Economics and Technology at ETH Zurich, where he obtained a Habilitation on “Complex socio-economic systems”. He is an expert in the modelling of economic, social and technical systems from a quantitative and interdisciplinary perspective and has more than 60 papers in diverse areas. His current research focuses on complex socio-economic systems: formal and informal organisations, their communication and knowledge exchange, by means of theoretical models, the development of methodological tools and data analysis. Another research line focuses on blockchain and Bitcoin, specifically in the economic and technical aspects of these groundbreaking technology: Emergent economic patterns, apparent and hidden incentive schemes, the design of new systems, design of decentralised, scalable architecures

Title

Authors

Journal

Year

A Taxonomy of Blockchain Technologies: Principles of Identification and Classification

Tasca, Paolo / Tessone, Claudio Juan

Ledger

2019

Nestedness in complex networks: Observation, emergence, and implications

Mariani, Manuel, et al.

Physics Reports

2018

Nestedness Maximization in Complex Networks through the Fitness-Complexity Algorithm

Lin, Jian-Hong / Tessone, Claudio / Mariani, Manuel

Entropy

2018

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

Vaccario, Giacomo, et al.

Journal of Evolutionary Economics

2018

Identification of influencers through the wisdom of crowds

Tanase, Radu / Tessone, Claudio J. / Algesheimer, René

PLOS ONE

2018

Link Prediction in Bipartite Nested Networks

Medo, Matúš / Mariani, Manuel / Lü, Linyuan

Entropy

2018

Revealing in-block nestedness: Detection and benchmarking

Sol’e-Ribalta, Albert, et al.

Physical Review

2018

Social influence: identification, effect and extensions (Dissertation)

Tanase, Radu, et al.

Zurich Open Repository and Archive (Dissertation)

2018

Three essays on social network theory (Dissertation)

Camacho Guardian, Abel, et al.

ZORA - Zurich Open Repository and Archive, University of Zurich

2018

Analysing the sensitivity of nestedness detection methods

Grimm, Alexander / Tessone, Claudio J.

Applied Network Science

2017

Hierarchical benchmark graphs for testing community detection algorithms

Yang, Zhao / Perotti, Juan I / Tessone, Claudio Juan

Physical Review E

2017

Detecting Nestedness in Graphs (Conference paper)

Grimm, Alexander / Tessone, Claudio J.

Complex Networks & Their Applications V. Studies in Computational Intelligence

2016

A Comparative Analysis of Community Detection Algorithms on Artificial Networks

Yang, Zhao / Algesheimer, René / Tessone, Claudio Juan

Scientific Reports

2016

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

Tomasello, Mario / Tessone, Claudio J. / Schweitzer, Frank

Advances in Complex Systems

2016

Hierarchical mutual information for the comparison of hierarchical community structures in complex networks

Perotti, Juan I / Tessone, Claudio Juan / Caldarelli, Guido

Physical Review E

2015

The effect of R&D collaborations on firms’ technological positions

Tomasello, Mario V / Tessone, Claudio Juan / Schweitzer, Frank

10th International Forum on Knowledge Asset Dynamics

2015