TY - JOUR
T1 - Testing social science network theories with online network data
T2 - An evaluation of external validity
AU - Bisbee, James
AU - Larson, Jennifer M.
N1 - Publisher Copyright:
© American Political Science Association 2017.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - To answer questions about the origins and outcomes of collective action, political scientists increasingly turn to datasets with social network information culled from online sources. However, a fundamental question of external validity remains untested: Are the relationships measured between a person and her online peers informative of the kind of offline, real-world relationships to which network theories typically speak? This article offers the first direct comparison of the nature and consequences of online and offline social ties, using data collected via a novel network elicitation technique in an experimental setting. We document strong, robust similarity between online and offline relationships. This parity is not driven by shared identity of online and offline ties, but a shared nature of relationships in both domains. Our results affirm that online social tie data offer great promise for testing long-standing theories in the social sciences about the role of social networks.
AB - To answer questions about the origins and outcomes of collective action, political scientists increasingly turn to datasets with social network information culled from online sources. However, a fundamental question of external validity remains untested: Are the relationships measured between a person and her online peers informative of the kind of offline, real-world relationships to which network theories typically speak? This article offers the first direct comparison of the nature and consequences of online and offline social ties, using data collected via a novel network elicitation technique in an experimental setting. We document strong, robust similarity between online and offline relationships. This parity is not driven by shared identity of online and offline ties, but a shared nature of relationships in both domains. Our results affirm that online social tie data offer great promise for testing long-standing theories in the social sciences about the role of social networks.
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U2 - 10.1017/S0003055417000120
DO - 10.1017/S0003055417000120
M3 - Article
AN - SCOPUS:85020735019
SN - 0003-0554
VL - 111
SP - 502
EP - 521
JO - American Political Science Review
JF - American Political Science Review
IS - 3
ER -