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Data-Mining Journals and Books: Using the Science of Networks to Uncover the Structure of the Educational Research Community

Education at the College of Staten Island, CUNY, Building 3S-225, 2800 Victory Boulevard, Staten Island, NY 10314; brian{at}briancarolan.org. His research interests include social networks, sociology of education, and communication and information technologies.

Gary Natriello, Gottesman Professor

Educational Research and Professor of Sociology and Education at Teachers College, Columbia University, 525 West 120th Street, Box 85, New York, NY 10027; gjn6{at}columbia.edu. His research interests include school organization, evaluation, atrisk youth, and the sociology of online learning

To investigate the process through which the educational research community can become more vibrant and cohesive, the authors of this article ask: How can the numerous networks that constitute the field of educational research be analyzed in an effort to understand and influence the pattern through which knowledge of educational phenomena are exchanged? The authors contend that understanding these complex networks will illuminate the dynamic processes through which community members identify with one another, researchers collaborate, and ideas connect—three social processes that shape replication and generalization efforts. The authors outline three ways in which examining the field’s members and products can be used to move closer to the ambitious yet attainable goal of establishing an academic community that exchanges information in ways that allow others to confirm, extend, and generalize research findings.

Educational Researcher, Vol. 34, No. 3, 25-33 (2005)
DOI: 10.3102/0013189X034003025


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