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

Darkhan Medeuov, Camille Roth, Kseniia Puzyreva, Nikita Basov

Результат исследований: Научные публикации в периодических изданияхстатьярецензирование

Аннотация

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.

Язык оригиналаанглийский
Номер статьи66
Число страниц22
ЖурналApplied Network Science
Том6
Номер выпуска1
DOI
СостояниеОпубликовано - дек 2021

Предметные области Scopus

  • Вычислительная математика
  • Общие
  • Компьютерные сети и коммуникации

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