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Collaboration metrics from the UF network data, and their evolution

We used publicly available data on UF publications and grants to extract networks of collaborations among UF researchers in 2008-2012. This allowed us to define network metrics on collaboration, which can be used to evaluate and monitor the activity of specific research institutes. As an example, we apply some of these collaboration metrics to the UF Clinical and Translational Science Institute.

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Designing a network intervention on the UF scientific network

Social Network Analysis is not just about describing and explaining networks, it is also about using networks for specific interventions with specific goals. Network interventions have traditionally been designed and tested in the health sciences to block contagions or spread healthy practices, and in management and business administration to improve the economic performance of organizations.

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A social network analysis of scientific collaborations at the University of Florida

Social Network Analysis (SNA) is a methodology and a theoretical perspective that studies patterns of relations among actors. When applied to the network of scientific collaborations at a university, SNA can provide many insights on the structure and the evolution of its scientific community.

Part I: Defining And Constructing The Social Network Of Scientific Collaborations At University Of Florida

A social network is a set of actors and the relations among them.

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Creative Solutions To Elusive Data: Web-Scraping Online Police Reports To Map Co-Offending Networks In US Cities

One truth new researchers quickly discover is that data collection is costly. In the social sciences, researchers expend copious amounts of time and grant money observing people, interviewing them, or gathering records about their characteristics and behaviors.
Publication Date: Wednesday, May 30, 2018

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The Structure, Evolution And Interaction Of Multiplex Networks Of Scientific Collaboration At A Research University

The aim of this paper is to contribute to the understanding of the structural evolution of scientific collaboration networks. A large body of literature has focused on the structure and evolution of co-authorship networks, typically examining networks within a specific discipline, but spanning different academic organizations. By contrast, this paper narrows its focus to a single academic organization (the University of Florida),

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Using network science to identify and bridge scientific communities at a research university

Members of the Network Science Program at BEBR gave a presentation at the Translational Science 2018 conference on their data analysis and intervention strategies. The program aims to expand network science and science of team science at UF, map and analyze collaboration networks across CTSA hubs and design network interventions to stimulate collaborative research at UF and across the CTSA consortium.

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Networks of collaboration and research interests at the Center for Humanities and the Public Sphere at the University of Florida

As part of a research Project at the Center for the Humanities and the Public Sphere, data on the research interests, collaboration and topics of classes taught by the UF Humanites faculty members was collected. In a joint effort with the Network Science Program team at BEBR, a network profile of shared research topics and co-publications was generated and presented during a meeting of the Social Network Analysis Journal Club at the College of Liberal Arts and Sciences.

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