Appraising discrepancies and similarities in semantic networks using concept-centered subnetworks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441571" target="_blank" >RIV/00216208:11320/21:10441571 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ukShGBbF1p" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=ukShGBbF1p</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s41109-021-00408-0" target="_blank" >10.1007/s41109-021-00408-0</a>
Alternative languages
Result language
angličtina
Original language name
Appraising discrepancies and similarities in semantic networks using concept-centered subnetworks
Original language description
This article proposes an approach to compare semantic networks using concept-centered sub-networks. A concept-centered sub-network is defined as an induced network whose vertex set consists of the given concept (ego) and all its adjacent concepts (alters) and whose link set consists of all the links between the ego and alters (including alter-alter links). By looking at the vertex and link overlap indices of concept-centered networks we infer semantic similarity of the underlying concepts. We cross-evaluate the semantic similarity by close-reading textual contexts from which networks are derived. We illustrate the approach on written and interview texts from an ethnographic study of flood management practice in England.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Network Science [online]
ISSN
2364-8228
e-ISSN
—
Volume of the periodical
6
Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
22
Pages from-to
66
UT code for WoS article
000694246800002
EID of the result in the Scopus database
2-s2.0-85114383108