Browsing by Subject "social network analysis"

Now showing 1 - 9 of 9
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    Link Lists for Websites of the US House of Representatives in 2009
    (2018-09-28) Weber, Matthew S.; msw@umn.edu; Weber, Matthew S.; Hubbard School of Journalism and Mass Communication
    Data contains hyperlinks that existed between websites that were part of the United States House of Representatives domain in 2009. The data track 12,410,014 unique URLs.
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    Link Lists for Websites of the US Senate in 2009
    (2018-09-28) Weber, Matthew S.; msw@umn.edu; Weber, Matthew S.; Hubbard School of Journalism and Mass Communication
    Data contains hyperlinks that existed between websites that were part of the United States Senate domain in 2009. The data track track 8,764,397 unique URLs.
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    Link Lists for Websites Reporting Information on Hurricane Sandy from 2003 to 2012
    (2018-06-20) Weber, Matthew S; msw@umn.edu; Weber, Matthew S; Hubbard School of Journalism and Mass Communication
    Data contains hyperlinks that existed between websites reporting information on Superstorm Sandy from 2003 – 2012. The data tracks 20,013,455 unique URLs.
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    Link Lists for Websites Tracking Newspapers and Media Websites in the US from 2008 to 2012
    (2018-09-28) Weber, Matthew S.; msw@umn.edu; Weber, Matthew S.; Hubbard School of Journalism and Mass Communication
    Data contains hyperlinks that existed between websites for newspapers and media outlets in the United States from 2008 to 2012. The data track 539,184,823 URLs.
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    Link Lists for Websites Tracking the Development of the Early Web from 1996 to 2000
    (2018-09-28) Weber, Matthew S.; msw@umn.edu; Weber, Matthew S.; Hubbard School of Journalism and Mass Communication
    Data contains hyperlinks that existed between websites that existed on the World Wide Web between 1996 and 2000.
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    Link Lists for Websites Tracking Websites Related to the Occupy Wall Street Movement from 2010 to 2012
    (2018-09-28) Weber, Matthew S.; msw@umn.edu; Weber, Matthew S.; Hubbard School of Journalism and Mass Communication
    Data contains hyperlinks that existed between websites related to the Occupy Wall Street movement from 2010 to 2012. The data track 113,259,655 URLs.
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    Social network analysis to understand participant engagement in transdisciplinary team science: a large U.S. science and technology center case study
    (2025-02-21) Huffman, Demie, R.; Bruns, Catherine, J.; Neff, Peter, D.; Roop, Heidi, A.
    Funding agencies like the U.S. National Science Foundation (NSF) increasingly fund transdisciplinary research collaboratives to tackle complex societal problems and accelerate innovation. Initiatives such as the NSF Science and Technology Centers (STCs) convene researchers from diverse disciplines to collaborate to address scientific challenges at the nexus of science and technology innovation. The longitudinal evolution of a Center’s social network offers a valuable evaluative tool for understanding how different Center activities and participant identities foster/inhibit an environment conducive to transdisciplinary collaboration and innovation. Given that STC members participate in Center activities with different degrees of involvement, understanding the varying relationships and levels of engagement exhibited within a Center can help to evaluate the effectiveness of team science collaborations in realizing their goals and objectives in real-time. A driving question is whether the whole of an interdisciplinary team is greater than the sum of its parts. In this article, a Science of Team Science mixed-methods social network analysis (SNA) approach is used to evaluate participation and provide data-driven evidence into how relational connections facilitate or hinder pathways for knowledge exchange in an STC called the Center for Oldest Ice Exploration. Using SNA, we establish a set of baseline “participation typologies” with which to measure the evolution of connectivity across the lifetime of the Center. These typologies indicate that pathways to engagement and collaboration are enabled through one’s connection or exposure to different research teams across the Center, as well as through the quality of connection reported between Center participants. Insights from early career researcher participation show how early investment in such activities can strengthen a participant’s connection quality and expose different disciplines to alternative approaches. This methodology can be applied to other large transdisciplinary endeavors to provide real-time evaluation and inform interventions to improve cross-team connections and collaboration.
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    Strategic Hires and External Sources of Knowledge in the Context of Organizational Absorptive Capacity
    (2020-08) Mitson, Renee
    This study expands upon Absorptive Capacity Theory by postulating that the theoretical framework should also consider strategic hires to an organization as sources of external knowledge until they have been fully assimilated and transformed within the organization. Study A conducts semi-structured interviews regarding lived experience of strategic hires. Study B involves exponential random graph modeling (ERGM) of a whole network within a digital marketing organization. Study A finds that strategic employees experience increased obstacles due to the newness of their role and lack of network understanding. Study B finds that job title awareness, company tenure, and age may all play a role in an employee's likelihood to be well connected within the network. Connections between social connectivity and absorptive capacity potential are discussed.
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    Towards a networked gatekeeping theory: Journalism, news diffusion, and democracy in a networked media environment
    (2014-01) Ernste, Thomas John
    This dissertation describes the development of a networked gatekeeping theory for the study of an increasingly internet-mediated news diffusion process. Prior gatekeeping research provides a rich theoretical and methodological framework for investigating and illuminating the process through which certain events and issues on an international, national, and local level become the mediated messages that reach the public. Towards a framework for reconceptualizing gatekeeping theory in which I incorporate principles of graph theory and social network analysis, I describe the development of a more participatory but still asymmetrically structured networked gatekeeping process that is forming according to the communication infrastructure afforded by the internet and its associated technologies. In particular, this dissertation focuses on the implications of these developments for both the practice of and research about news diffusion, journalism, internet-mediated communication, and democracy. In an empirical study of the Twitter-based news ecology of a large Midwestern metropolitan area, I conduct a case study using primarily social network analysis methods that uncovers insights about the patterns that emerge within this dynamic participatory news construction and diffusion process. The findings of this dissertation can be useful for media scholars, media practitioners, and for anyone with an interest in understanding the evolution of the new media of the public sphere.