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

Pepe, Alberto; Rodriguez, Marko A.

doi:10.1007/s11192-009-0147-2

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

Journal Article · Wed Dec 30 23:00:00 EST 2009 · Scientometrics

DOI:https://doi.org/10.1007/s11192-009-0147-2· OSTI ID:1815785

Pepe, Alberto ^[1]; Rodriguez, Marko A. ^[2]

Univ. of California, Los Angeles, CA (United States). Center for Embedded Networked Sensing; OSTI
Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Center for Nonlinear Studies

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 center in 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.

View Accepted Manuscript (DOE)

Research Organization:: Triad National Security, LLC, Los Alamos, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 1815785

Journal Information:: Scientometrics, Journal Name: Scientometrics Journal Issue: 3 Vol. 84; ISSN 0138-9130

Publisher:: Akademiai KiadoCopyright Statement

Country of Publication:: United States

Language:: English

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Effective Data Acquisition Protocol for Multi-Hop Heterogeneous Wireless Sensor Networks Using Compressive Sensing Khedr, Ahmed Algorithms, Vol. 8, Issue 4 https://doi.org/10.3390/a8040910	journal	October 2015
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Gender bias and explanation models for the phenomenon of women’s discriminations in research careers Kretschmer, Hildrun; Kretschmer, Theo Scientometrics, Vol. 97, Issue 1 https://doi.org/10.1007/s11192-013-1023-7	journal	April 2013
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97 MATHEMATICS AND COMPUTING
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