Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media
Abstract Influentials play a key role in enhancing information diffusion on social media. However, how personal influence varies across multiple domains is rarely addressed. This study introduces a concept called Domain-Relevance of Influence to describe the relation between influence and domains, a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-05-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-023-00764-x |
| _version_ | 1797822793862086656 |
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| author | Bowen Shi Ke Xu Jichang Zhao |
| author_facet | Bowen Shi Ke Xu Jichang Zhao |
| author_sort | Bowen Shi |
| collection | DOAJ |
| description | Abstract Influentials play a key role in enhancing information diffusion on social media. However, how personal influence varies across multiple domains is rarely addressed. This study introduces a concept called Domain-Relevance of Influence to describe the relation between influence and domains, and establishes a methodological framework with a sample of 8,520,933 Weibo users to explore the cross-domain characteristics of influence. The results show that generalists with cross-domain attributes possess significantly higher influence than specialists in most domains, whereas in a single domain such as sports or technology, specialists and generalists can possess comparable influence. We further show that influence is positively associated with cross-domain capability in overall domains, but not necessarily in each single domain. This study contributes to better understanding of the influence variation across domains for influence enhancement, and provides a big data-based methodological basis for cross-domain communication research. |
| first_indexed | 2024-03-13T10:14:25Z |
| format | Article |
| id | doaj.art-3c3a7cf98e3c49548bc05626eec8a948 |
| institution | Directory Open Access Journal |
| issn | 2196-1115 |
| language | English |
| last_indexed | 2024-03-13T10:14:25Z |
| publishDate | 2023-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Big Data |
| spelling | doaj.art-3c3a7cf98e3c49548bc05626eec8a9482023-05-21T11:18:35ZengSpringerOpenJournal of Big Data2196-11152023-05-0110112010.1186/s40537-023-00764-xDomain-relevance of influence: characterizing variations in online influence across multiple domains on social mediaBowen Shi0Ke Xu1Jichang Zhao2State Key Laboratory of Software Development Environment, Beihang UniversityState Key Laboratory of Software Development Environment, Beihang UniversitySchool of Economics and Management, Beihang UniversityAbstract Influentials play a key role in enhancing information diffusion on social media. However, how personal influence varies across multiple domains is rarely addressed. This study introduces a concept called Domain-Relevance of Influence to describe the relation between influence and domains, and establishes a methodological framework with a sample of 8,520,933 Weibo users to explore the cross-domain characteristics of influence. The results show that generalists with cross-domain attributes possess significantly higher influence than specialists in most domains, whereas in a single domain such as sports or technology, specialists and generalists can possess comparable influence. We further show that influence is positively associated with cross-domain capability in overall domains, but not necessarily in each single domain. This study contributes to better understanding of the influence variation across domains for influence enhancement, and provides a big data-based methodological basis for cross-domain communication research.https://doi.org/10.1186/s40537-023-00764-xOpinion leadershipSocial mediaCross-domainGeneralistDomain-relevance of influenceSpecialist |
| spellingShingle | Bowen Shi Ke Xu Jichang Zhao Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media Journal of Big Data Opinion leadership Social media Cross-domain Generalist Domain-relevance of influence Specialist |
| title | Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media |
| title_full | Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media |
| title_fullStr | Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media |
| title_full_unstemmed | Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media |
| title_short | Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media |
| title_sort | domain relevance of influence characterizing variations in online influence across multiple domains on social media |
| topic | Opinion leadership Social media Cross-domain Generalist Domain-relevance of influence Specialist |
| url | https://doi.org/10.1186/s40537-023-00764-x |
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