Appraising discrepancies and similarities in semantic networks using concept-centered subnetworks

被引：0
作者：
Darkhan Medeuov
Camille Roth
Kseniia Puzyreva
Nikita Basov
机构：
[1] Nazarbayev University,Department of Sociology and Anthropology
[2] Humboldt Universität Berlin,Centre Marc Bloch, CNRS
[3] St. Petersburg State University,Centre for German and European Studies
来源：
Applied Network Science | / 6卷
关键词：
Semantic networks; Flood management; Computational text analysis;
D O I：
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摘要：
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.
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