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Journal of Logic and Computation
Article . 2022 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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https://dx.doi.org/10.48550/ar...
Article . 2021
License: CC BY
Data sources: Datacite
DBLP
Article . 2021
Data sources: DBLP
DBLP
Article . 2022
Data sources: DBLP
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Temporal logic for social networks

Authors: Vitor Machado; Mario R. F. Benevides;

Temporal logic for social networks

Abstract

Abstract This paper introduces a logic with a class of social network models that is based on standard Linear Temporal Logic, which allows for leveraging the power of existing model checkers for the analysis of social networks. We provide a short literature overview, and then define our logic and its axiomatization, present some simple motivational examples of both models and formulas and show its soundness and completeness via a translation into propositional formulas. Lastly, we discuss model checking, time complexity analysis and a Susceptible–Infectious–Recovered model variation for infectious diseases.

Keywords

Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Social and Information Networks, Logic in Computer Science (cs.LO)

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    popularity
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    Top 10%
    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.
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selected citations
These citations are derived from selected sources.
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!
4
Top 10%
Average
Top 10%
Green
hybrid