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Digital Classics Online
Article . 2017
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A Selection of Papers from the Digital Classicist Seminar Berlin (2012-2015)

Authors: Matteo Romanello; Martina Trognitz; Undine Lieberwirth; Francesco Mambrini; Felix Schäfer;

A Selection of Papers from the Digital Classicist Seminar Berlin (2012-2015)

Abstract

Digital Classics Online, Bd. 3,2 (2017)

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Subjects by Vocabulary

Library of Congress Subject Headings: lcsh:Ancient history lcsh:C lcsh:D51-90 lcsh:Auxiliary sciences of history

Keywords

Digital Humanities, Computational Linguistics, Statistics, Digital Philology, Digital Archaeology, Networks, Digital Humanities; Information Technology; Digital Archaeology; Computational Linguistics; Statistics; Networks; Digital Philology, Information Technology

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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