Documents

DOI

The interplay between symbolic and social structures in groups is often analysed at the whole-network level of their semantic and socio-semantic networks, e.g. via comparison of graph distributions, multidimensional scaling, or QAP correlations. Meanwhile, the interplay between the symbolic and the social operates through the usage of signs (e.g. words) and their associations by interacting individuals. Hence, structural properties of the whole network can be explained by analysing specific instances of symbolic and socio-symbolic micro patterns – elementary configurations linking signs, and signs and individuals – occurring in practical contexts. This paper introduces a technique and a customisable pattern retriever tool (an R script) to (1) programme socio-symbolic patterns of theoretical importance, (2) use them as ‘search terms’ to query network data, (3) extract from the data instances of the patterns and text quotes corresponding to them, (4) store and represent these instances and quotes in a form convenient for their subsequent qualitative analysis – to uncover the contextual meanings of the patterns. We illustrate the proposed technique with an analysis of a mixed dataset on the interplay between expert and local symbolic structures in the context of social structures of two local groups engaged in flood risk management in 2019 England.
Original languageEnglish
Title of host publicationNetworks in the Global World V
EditorsArtem Antonyuk, Nikita Basov
PublisherSpringer Nature
Pages101-119
Number of pages19
DOIs
StatePublished - 2021
Event5th Networks in the Global World Conference, NetGloW 2020 - St.Petersburg State University, St. Petersburg, Russian Federation
Duration: 7 Jul 20209 Jul 2020
http://ngw.spbu.ru/

Publication series

NameLecture Notes in Networks and Systems
Volume181
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference5th Networks in the Global World Conference, NetGloW 2020
Country/TerritoryRussian Federation
CitySt. Petersburg
Period7/07/209/07/20
Internet address

    Research areas

  • Pattern retrieval, Socio-semantic network, Symbolic structure, Socio-symbolic structure

    Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Computer Networks and Communications

ID: 88942082