Riccardo Righi - Information Flow Simulations in the Investigation of Economic Complex Systems

The Joint Research Centre (JRC) of the European Commission is acknowledged as the source of this research/work.
Disclaimer: The views expressed are purely those of the author and may not in any circumstances be regarded as stating an official position of the European Commission.

The seminar discusses the use of simulations of information flows for the investigation of complex systems related to digital economy. Two case studies are presented.
The first concerns the investigation of an equity crowdfunding platform based in the UK. To categorize the nodes of such network, the implementation of a cluster analysis on investors allows the identification of three profiles: Small Investors, Serial Investors and Highly Involved Investors. Similarly, three clusters emerge from companies' characteristics.
The structural properties of the platform are then investigated through the detection of groups of agents that are likely to generate internal social capital due to dense connections.
Our results show that Small Investors, through investments on different types of companies, significantly interconnect distinct communities, thus contributing to generate a cohesive network structure. Hence they structurally support information exchange throughout the platform.
The second case study is about the investigation of the techno-economic complex system defined by economic worldwide institutions (e.g. firms, governmental institutions and research institutes) actively contributing in the field of Artificial Intelligence in the period 2009-2018. We discuss the theoretical basis supporting the construction of a multi-layer network representing the Artificial Intelligence agent-artifact space.

References:
Aldous, D.J.: Exchangeability and related topics. In: École d’Été de Probabilités de Saint-Flour. Springer (1985)
Arnold, T.B., Emerson, J.W. Nonparametric goodness-of-fit tests for discrete null distributions. R Journal (2011)
Atmar, W., Patterson, B.D.: The measure of order and disorder in the distribution of species in fragmented habitat. Oecologia (1993)
Becattini, G.: The marshallian industrial. Industrial districts (1990)
Bedau, M.A., Packard, N.H., Rasmussen, S.: Protocells: bridging nonliving and living matter. Mit Press (2009)
Blei, D.M., Lafferty, J.D.: Topic models. Text mining: classification, clustering, and applications. Chapman & Hall/CRC (2009)
Brusco, S.: The emilian model: productive decentralisation and social integration. Cambridge journal of economics (1982)
Brusco, S.: The idea of the industrial district: its genesis. In: Industrial Districts and Inter-firm Co-operation in Italy (1990)
Colombo, M.G., Franzoni, C., Rossi-Lamastra, C.. Internal social capital and the attraction of early contributions in crowdfunding. Entrepreneurship theory and practice (2015)
De Domenico, M., Lancichinetti, A., Arenas, A., Rosvall, M.: Identifying modular flows on multilayer networks reveals highly overlapping organization in interconnected systems. Physical Review X (2015)
Ding, Y.: Community detection: topological vs. topical. Journal of Informetrics (2011)
Dougherty, D.S., Kramer, M.W., Klatzke, S.R., & Rogers, T.K. Language convergence and meaning divergence: A meaning centered communication theory. Communication Monographs (2009)
Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proceedings of the National Academy of Sciences (2004)
Huffman, D.A.: A method for the construction of minimum-redundancy codes. Proceedings of the IRE (1952)
Lane, D.A., Maxfield, R.R.: Ontological uncertainty and innovation. Journal of evolutionary economics (2005)
Lane, D.A.: Complexity and innovation dynamics. Handbook on the economic complexity of technological change (2011)
Papadimitriou, C.H., Raghavan, P., Tamaki, H., Vempala, S.: Latent semantic indexing: A probabilistic analysis. Journal of Computer and System Sciences (2000)
Righi,R., Samoili,S., Vazquez-Prada Baillet, M., Lopez-Cobo, M., Cardona, M., DePrato, G.: Nestedness Temperature in the Agent-Artifact Space: Emergence of Hierarchical Order in the 2000-2014 Photonics Techno-Economic Complex System. Artificial Life and Evolutionary Computation. Springer (in press)
Righi,R., Samoili,S., Lopez-Cobo, M., Vazquez-Prada Baillet, M., Cardona, M., DePrato, G.: The AI Techno-Economic Complex System: Worldwide Landscape, Thematic Subdomains and Technological Collaborations. Telecommunications Policy. Elsevier (in press)
Rosvall, M., Bergstrom, C.T.: Maps of random walks on complex networks reveal community structure. Proceedings of the National Academy of Sciences (2008)
Samoili,S., Righi,R., Lopez-Cobo,M., Cardona,M.,DePrato,G.: Unveiling latent relations in the photonics techno-economic complex system. Artificial Life and Evolutionary Computation. Springer (2019)
Steyvers, M., Griffiths, T.: Probabilistic topic models. Handbook of latent semantic analysis (2007)

Systems