Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns
Alberto Pepe, Marko A. Rodriguez

TL;DR
This paper conducts a detailed longitudinal study of a small sensor network research collaboration, analyzing structural properties and assortative mixing patterns to understand social and academic dynamics.
Contribution
It provides an in-depth analysis of collaboration patterns in a sensor network research community, incorporating temporal and qualitative insights beyond bibliographic data.
Findings
Researchers tend to collaborate with others having similar academic profiles.
The network exhibits specific assortative mixing patterns based on discipline and institutional affiliation.
Organizational and international factors influence collaboration tendencies.
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 center involved in the development and application of sensor network and wireless 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…
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