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 - Funding Information:
Acknowledgements. This work was supported by the Russian Science Foundation (grant 19-18-00394 ‘Creation of knowledge on ecological hazards in Russian and European local communities,’ 2019–ongoing). The authors would like to thank two anonymous reviewers for providing valuable comments on an earlier draft of the paper.
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 - Socio-symbolic structure
KW - Symbolic structure
UR - http://www.scopus.com/inward/record.url?scp=85102629990&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-64877-0_7
DO - 10.1007/978-3-030-64877-0_7
M3 - Conference contribution
AN - SCOPUS:85102629990
SN - 9783030648763
T3 - Lecture Notes in Networks and Systems
SP - 101
EP - 119
BT - Networks in the Global World V - Proceedings of NetGloW 2020
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 -
