Structure Prediction in Uncertain Temporal Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F20%3A43901483" target="_blank" >RIV/60076658:12510/20:43901483 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ACIT49673.2020.9209002" target="_blank" >http://dx.doi.org/10.1109/ACIT49673.2020.9209002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACIT49673.2020.9209002" target="_blank" >10.1109/ACIT49673.2020.9209002</a>
Alternative languages
Result language
angličtina
Original language name
Structure Prediction in Uncertain Temporal Networks
Original language description
Many phenomena can be modeled using networks. We deal with networks, which are both time-varying (temporary) and uncertain. In this paper, we use belief function theory for the modelling of uncertainty. Based on an estimate of interactions of groups of actors in a network, we estimate the structure of the modeled temporary network.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ACIT 2020 - Proceedings
ISBN
978-1-72816-760-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
737-740
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Deggendorf
Event location
Deggendorf
Event date
Sep 16, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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