Identifying and characterizing social media communities
A socio-semantic network approach to altmetrics
Bibliographic Data
| ID | 21441971 |
|---|---|
| Authors | Wenceslao Arroyo‐Machado (0000-0001-9437-8757, Universidad de Granada, corresponding author), Daniel Torres‐Salinas (0000-0001-8790-3314, Universidad de Granada), Nicolás Robinson‐García (0000-0002-0585-7359, Universidad de Granada) |
| Year | 2021 |
| Volume | 126 |
| Issue | 11 |
| Pages | 9267-9289 |
| Publication date | 2021-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-021-04167-8 |
| PMID | 34658460 |
| OpenAlex | W3206560395 |
| Language | EN |
| Citations received | 6 |
| References cited | 68 |
Altmetric indicators allow exploring and profiling individuals who discuss and share scientific literature in social media. But it is still a challenge to identify and characterize communities based on the research topics in which they are interested as social and geographic proximity also influence interactions. This paper proposes a new method which profiles social media users based on their interest on research topics using altmetric data. Social media users are clustered based on the topics related to the research publications they share in social media. This allows removing linkages which respond to social or personal proximity and identifying disconnected users who may have similar research interests. We test this method for users tweeting publications from the fields of Information Science & Library Science, and Microbiology. We conclude by discussing the potential application of this method and how it can assist information professionals, policy managers and academics to understand and identify the main actors discussing research literature in social media
Altmetrics · Data science · Geography · Information retrieval · Social media · Social network (sociolinguistics) · Social network analysis · Sociology · World Wide Web · Complex Network Analysis Techniques · Computer Science · Digital Marketing and Social Media · Web visibility and informetrics
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| Unique citing works | 6 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 6 |