Testing Bottom-Up Models of Complex Citation Networks

Bibliographic Data

ID10705244
AuthorsMark A Bedau (0009-0008-1284-8240, corresponding author)
Year2014
Volume81
Issue5
Pages1131-1143
Publication date2014-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePhilosophy of Science (JOURNAL)
Journal identifiersISSN: 0031-8248 • E-ISSN: 1539-767X
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1086/677700
OpenAlexW2009812372
LanguageEN
Citations received3
References cited21

The robust behavior of the patent citation network is a complex target of recent bottom-up models in science. This paper investigates the purpose and testing of three especially simple bottom-up models of the citation count distribution observed in the patent citation network. The complex causal webs in the models generate weakly emergent patterns of behavior, and this explains both the need for empirical observation of computer simulations of the models and the epistemic harmlessness of the resulting epistemic opacity

Citation · Complex network · Data science · Epistemology · Network model · Opacity · Physics · Preferential attachment · Programming language · Simple (philosophy) · Top-down and bottom-up design · Artificial Intelligence · Complex Network Analysis Techniques · Computer Science · Opinion Dynamics and Social Influence · Philosophy · Philosophy and History of Science · Theoretical Computer Science

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