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Network Analysis and Political Science

Bibliographic Data

ID6232849
AuthorsMichael D Ward (0000-0002-6561-6186, Duke University), Katherine Stovel (University of Washington), Audrey Sacks (University of Washington)
Year2011
Volume14
Issue1
Pages245-264
Publication date2011-06-15
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAnnual Review of Political Science (BOOK_SERIES)
Journal identifiersISSN: 1094-2939 • E-ISSN: 1545-1577
PublisherAnnual Reviews (PUBLISHER • US)
DOI10.1146/annurev.polisci.12.040907.115949
OpenAlexW2147942759
LanguageEN
Citations received113
References cited106

Political science is fascinated with networks. This fascination builds on networks' descriptive appeal, and descriptions of networks play a prominent role in recent forays into network analysis. For some time, quantitative research has included node-level measures of network characteristics in standard regression models, thereby incorporating network concepts into familiar models. This approach represents an early advance for the literature but may (a) ignore fundamental theoretical contributions that can be found in a more structurally oriented network perspective, (b) focus attention on superficial aspects of networks as they feed into empirical work, and (c) present the network perspective as a slight tweak to standard models that assume complete independence of all relevant actors. We argue that network analysis is more than a tweak to the status quo ante; rather, it offers a means of addressing one of the holy grails of the social sciences: effectively analyzing the interdependence and flows of influence among individuals, groups, and institutions

Appeal · Complex network · Data science · Economics · Epistemology · Independence (probability theory · Network analysis · Network science · Perspective (graphical · Political science · Politics · Positive economics · Social capital · Social network analysis · Social science · Sociology · Status quo · Computer Science · Law · Mathematics · Opinion Dynamics and Social Influence · Social Capital and Networks · Social Media and Politics · Artificial Intelligence

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Unique citing works113
Citations per year7,53
Citation span2011 - 2026 (16)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 113

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