| Autor: |
Angelo Corallo, Francesca Grippa, Salvatore Totaro, Cristian Bisconti, M. De Maggio |
| Přispěvatelé: |
Bisconti, CRISTIAN GIOVANNI, Corallo, Angelo, DE MAGGIO, Marco, Grippa, Francesca, Totaro, Salvatore |
| Jazyk: |
angličtina |
| Rok vydání: |
2010 |
| Předmět: |
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| Popis: |
In this paper, the authors apply models extracted from the Many-Body Quantum Mechanics to understand how knowledge production is correlated to the innovation potential of a work team. This study is grounded in key assumtpions. First, complexity theory applied to social science suggests that it is of paramount importance to consider elements of non-objectivity and non-determinism in the statistical description of socio-economic phenomena. Second, a typical factor of indeterminacy in the explanation of these phenomena lead to the need to apply the instruments of quantum physics to formally describe social behaviours. In order to experiment the validity of the proposed mathematic model, the research intends to: 1) model nodes and interactions; 2) simulate the network behaviour starting from specific defined models; 3) visualize the macroscopic results emerging during the analysis/simulation phases through a digital representation of the social network. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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