TY - GEN

T1 - A Technique to Infer Symbolic and Socio-Symbolic Micro Patterns

AU - Antonyuk, Artem

AU - Puzyreva, Kseniia

AU - Medeuov, Darkhan

AU - Basov, Nikita

N1 - Publisher Copyright: © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Pattern retrieval

KW - Socio-semantic network

KW - Symbolic structure

KW - Socio-symbolic structure

UR - http://www.scopus.com/inward/record.url?scp=85102629990&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/5c9c052d-7011-304e-ba2e-df7979eada5f/

U2 - 10.1007/978-3-030-64877-0_7

DO - 10.1007/978-3-030-64877-0_7

M3 - Conference contribution

T3 - Lecture Notes in Networks and Systems

SP - 101

EP - 119

BT - Networks in the Global World V

A2 - Antonyuk, Artem

A2 - Basov, Nikita

PB - Springer Nature

T2 - 5th Networks in the Global World Conference, NetGloW 2020

Y2 - 7 July 2020 through 9 July 2020

ER -