Designing Empirical Social Networks Research (Methods for Social Inquiry)

<p>A user-friendly introductory guide to the empirical study of social networks. Jennifer M. Larson presents the fundamentals of social networks in an intuition-forward way which guides theory-driven research design.&nbsp;Substantial attention is devoted to a framework for developing a network theory that will steer data collection to be maximally informative and minimally frustrating.&nbsp;Other features include: Coverage of a range of practical topics including selecting operationalizations, cutting survey costs, and cleaning data; A tutorial for getting started in analyzing networks in R; Technical sections full of examples, points to hone intuition, and practice problems with solutions. Designing Empirical Social Networks Research will be a valuable tool for advanced undergraduates, Ph.D. students in the social sciences, especially political science, and researchers across the social sciences who are new to the study of networks.</p>

Larson, Jennifer M.

Reference

Cambridge University Press

This book explores the intersection of fuzzy mathematics and the spatial modeling of preferences in political science. Beginning with a critique of conventional modeling approaches predicated on Cantor set theoretical assumptions, the authors outline the potential benefits of a fuzzy approach to the study of ambiguous or uncertain preference profiles. This is a good text for a graduate seminar in formal modeling. It is also suitable as an introductory text in fuzzy mathematics.

Applying Fuzzy Mathematics to Formal Models in Comparative Politics (Studies in Fuzziness and Soft Computing)

Computers & Technology

Clark, Terry D.

Mordeson, John N.

Potter, Joshua D.

Wierman, Mark J.

Computer Science

Springer

Applying Fuzzy Mathematics to Formal Models in Comparative Politics (Studies in Fuzziness and Soft Computing, 225)

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Books by Larson, Jennifer M.