Why Sociologists Should not Bother with Theory: The Effect of Topics on Citations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985955%3A_____%2F19%3A00510884" target="_blank" >RIV/67985955:_____/19:00510884 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Why Sociologists Should not Bother with Theory: The Effect of Topics on Citations
Original language description
This paper utilizes odds ratios of topical words to model cumulative citation counts in a corpus of Czech sociological articles. It builds atop a novel method for topic modeling based on hierarchical stochastic block models and notes why network based topic models may be a more productive approach if the output of topic models is expected to serve as an input to further statistical models. The demonstrated technique shows that topics of articles have significant effects on citations and possibly interact with other important variables, such as the gender or number of authors.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50401 - Sociology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
17th International Conference on Scientometrics and Informetrics: ISSI 2019, Proceedings
ISBN
978-88-3381-118-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
2341-2346
Publisher name
Sapienza University
Place of publication
Rome
Event location
Rome
Event date
Sep 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000508227200108