Journal
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
Volume 64, Issue 12, Pages 2405-2427Publisher
WILEY
DOI: 10.1002/asi.22929
Keywords
network analysis; qualitative research; scholarly communication
Funding
- National Science Foundation through Doctoral Thesis Improvement Grant [0924445]
- National Science Foundation [OCI-1025679]
- Divn Of Social and Economic Sciences
- Direct For Social, Behav & Economic Scie [0924445] Funding Source: National Science Foundation
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The scientific community of researchers in a research specialty is an important unit of analysis for understanding the field-specific shaping of scientific communication practices. These scientific communities are, however, a challenging unit of analysis to capture and compare because they overlap, have fuzzy boundaries, and evolve over time. We describe a network analytic approach that reveals the complexities of these communities through the examination of their publication networks in combination with insights from ethnographic field studies. We suggest that the structures revealed indicate overlapping subcommunities within a research specialty, and we provide evidence that they differ in disciplinary orientation and research practices. By mapping the community structures of scientific fields we increase confidence about the domain of validity of ethnographic observations as well as of collaborative patterns extracted from publication networks thereby enabling the systematic study of field differences. The network analytic methods presented include methods to optimize the delineation of a bibliographic data set to adequately represent a research specialty and methods to extract community structures from this data. We demonstrate the application of these methods in a case study of two research specialties in the physical and chemical sciences.
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