Cicala, Raffaella (2014) The evolution of research network for a university department. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | The evolution of research network for a university department |
| Creators: | Creators Email Cicala, Raffaella raffaella.cicala@unina.it |
| Date: | 31 March 2014 |
| Number of Pages: | 217 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Ingegneria Industriale |
| Scuola di dottorato: | Ingegneria industriale |
| Dottorato: | Science and technology management |
| Ciclo di dottorato: | 26 |
| Coordinatore del Corso di dottorato: | nome email Rossi, Federico federico.rossi@unina.it |
| Tutor: | nome email Improta, Gennaro UNSPECIFIED |
| Date: | 31 March 2014 |
| Number of Pages: | 217 |
| Keywords: | research network, scientific collaboration, longitudinal network analysis |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-IND/35 - Ingegneria economico-gestionale Area 01 - Scienze matematiche e informatiche > MAT/09 - Ricerca operativa |
| Aree tematiche (7° programma Quadro): | SCIENZE SOCIOECONOMICHE E UMANISTICHE > Attività di previsione |
| Date Deposited: | 14 Apr 2014 16:30 |
| Last Modified: | 22 Jan 2015 11:14 |
| URI: | http://www.fedoa.unina.it/id/eprint/9872 |
Collection description
Purpose – Networks of researchers represent a typical and interesting example of affiliation network in which a link between two researchers indicates the existence of their scientific collaboration. The great diffusion of digital libraries that made the wide availability of services has favorite the construction of co-authorship networks that have been considered as the most common and well-documented form of scientific collaboration. In really, the production of a paper it is not always an index of collaboration and this concept represents a first point depth in doctoral thesis. Using, then, for a research group a network representation and replicating it over time, it is possible to understand how the set of scientific collaborations evolve over time and to identify the reasons for which a researcher chooses his collaborations; the application of a dynamic methodology to a case study is the second of the points of deepening. Methods – A developed case study has allowed the identification of collaborative networks exist within a department over a period of time (11-years). Two different definitions of scientific collaboration are compared: the first linked to the production of paper in common (networks of co-authors), the second takes into account the continuity of that production (collaboration networks), and found that the main differences they determine on the characteristics of the network. Static analysis (SNA) and the dynamic (Actor-oriented model) have been performed.
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