The Core Might Change Anyhow We Define It: The Instability of Key Actors in Longitudinal Social Network Data
Central actors or opinion leaders are in the right structural position to spread relevant information or convince others about adopting an innovation or behaviour change. Who is a central actor or opinion leader might be conceptualised in various ways. Widely accepted centrality measures do not take...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2024/3956877 |
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| _version_ | 1832558668112986112 |
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| author | Róbert Pethes Eliza Bodor-Eranus Károly Takács Levente Kovács |
| author_facet | Róbert Pethes Eliza Bodor-Eranus Károly Takács Levente Kovács |
| author_sort | Róbert Pethes |
| collection | DOAJ |
| description | Central actors or opinion leaders are in the right structural position to spread relevant information or convince others about adopting an innovation or behaviour change. Who is a central actor or opinion leader might be conceptualised in various ways. Widely accepted centrality measures do not take into account that those in central positions in the social network may change over time. A longitudinal comparison of the set and importance of opinion leaders is problematic with these measures and therefore needs a novel approach. In this study, we investigate ways to compare the stability of the set of central actors over time. Using longitudinal survey data from primary schools (where the members of the social networks do not change much over time) on advice-seeking and friendship networks, we find a relatively poor stability of who is in the central positions anyhow we define centrality. We propose the application of combined indices in order to achieve more efficient targeting results. Our results suggest that because opinion leaders may change over time, researchers should be careful about relying on simple centrality indices from cross-sectional data to gain and interpret information (for example, in the design of prevention programs, network-based interventions or infection control) and must rely on more diverse structural information instead. |
| format | Article |
| id | doaj-art-7ecf6c8ffde5420c9092dc47630e4fbf |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-7ecf6c8ffde5420c9092dc47630e4fbf2025-02-03T01:31:53ZengWileyComplexity1099-05262024-01-01202410.1155/2024/3956877The Core Might Change Anyhow We Define It: The Instability of Key Actors in Longitudinal Social Network DataRóbert Pethes0Eliza Bodor-Eranus1Károly Takács2Levente Kovács3Physiological Controls Research CenterComputational Social Science—Research Center for Educational and Network Studies (CSS-RECENS)Computational Social Science—Research Center for Educational and Network Studies (CSS-RECENS)Physiological Controls Research CenterCentral actors or opinion leaders are in the right structural position to spread relevant information or convince others about adopting an innovation or behaviour change. Who is a central actor or opinion leader might be conceptualised in various ways. Widely accepted centrality measures do not take into account that those in central positions in the social network may change over time. A longitudinal comparison of the set and importance of opinion leaders is problematic with these measures and therefore needs a novel approach. In this study, we investigate ways to compare the stability of the set of central actors over time. Using longitudinal survey data from primary schools (where the members of the social networks do not change much over time) on advice-seeking and friendship networks, we find a relatively poor stability of who is in the central positions anyhow we define centrality. We propose the application of combined indices in order to achieve more efficient targeting results. Our results suggest that because opinion leaders may change over time, researchers should be careful about relying on simple centrality indices from cross-sectional data to gain and interpret information (for example, in the design of prevention programs, network-based interventions or infection control) and must rely on more diverse structural information instead.http://dx.doi.org/10.1155/2024/3956877 |
| spellingShingle | Róbert Pethes Eliza Bodor-Eranus Károly Takács Levente Kovács The Core Might Change Anyhow We Define It: The Instability of Key Actors in Longitudinal Social Network Data Complexity |
| title | The Core Might Change Anyhow We Define It: The Instability of Key Actors in Longitudinal Social Network Data |
| title_full | The Core Might Change Anyhow We Define It: The Instability of Key Actors in Longitudinal Social Network Data |
| title_fullStr | The Core Might Change Anyhow We Define It: The Instability of Key Actors in Longitudinal Social Network Data |
| title_full_unstemmed | The Core Might Change Anyhow We Define It: The Instability of Key Actors in Longitudinal Social Network Data |
| title_short | The Core Might Change Anyhow We Define It: The Instability of Key Actors in Longitudinal Social Network Data |
| title_sort | core might change anyhow we define it the instability of key actors in longitudinal social network data |
| url | http://dx.doi.org/10.1155/2024/3956877 |
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