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Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns

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  • Alberto Pepe

    (University of California)

  • Marko A. Rodriguez

    (Los Alamos National Laboratory)

Abstract

Many investigations of scientific collaboration are based on statistical analyses of large networks constructed from bibliographic repositories. These investigations often rely on a wealth of bibliographic data, but very little or no other information about the individuals in the network, and thus, fail to illustrate the broader social and academic landscape in which collaboration takes place. In this article, we perform an in-depth longitudinal analysis of a relatively small network of scientific collaboration (N = 291) constructed from the bibliographic record of a research centerin the development and application of wireless and sensor network technologies. We perform a preliminary analysis of selected structural properties of the network, computing its range, configuration and topology. We then support our preliminary statistical analysis with an in-depth temporal investigation of the assortative mixing of selected node characteristics, unveiling the researchers’ propensity to collaborate preferentially with others with a similar academic profile. Our qualitative analysis of mixing patterns offers clues as to the nature of the scientific community being modeled in relation to its organizational, disciplinary, institutional, and international arrangements of collaboration.

Suggested Citation

  • Alberto Pepe & Marko A. Rodriguez, 2010. "Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 687-701, September.
    • Handle: RePEc:spr:scient:v:84:y:2010:i:3:d:10.1007_s11192-009-0147-2
    DOI: 10.1007/s11192-009-0147-2
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    References listed on IDEAS

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    Cited by:

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    2. Yan, Erjia & Ding, Ying & Milojević, Staša & Sugimoto, Cassidy R., 2012. "Topics in dynamic research communities: An exploratory study for the field of information retrieval," Journal of Informetrics, Elsevier, vol. 6(1), pages 140-153.
    3. Miloš Savić & Mirjana Ivanović & Bojana Dimić Surla, 2017. "Analysis of intra-institutional research collaboration: a case of a Serbian faculty of sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 195-216, January.
    4. Sameer Kumar, 2018. "Ethical Concerns in the Rise of Co-Authorship and Its Role as a Proxy of Research Collaborations," Publications, MDPI, vol. 6(3), pages 1-9, August.
    5. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.
    6. Sameer Kumar & Jariah Mohd. Jan, 2013. "Mapping research collaborations in the business and management field in Malaysia, 1980–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 491-517, December.
    7. Tolga Yuret, 2020. "Co-worker network: How closely are researchers who published in the top five economics journals related?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2301-2317, September.

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