An Online Scientific Twitter World: Social Network Analysis of #ScienceTwitter, #SciComm, and #AcademicTwitter

Understanding who makes up online affinity spaces as well as how information flows within those spaces is important as more people access news, research topics, collaborate with others, and entertain themselves. During a month-long period in summer 2021, we collected 100,000 tweets from 53,311 Twitter users who used the hashtags #ScienceTwitter, #SciComm, and #AcademicTwitter. We then classified users and determined the type of social network they formed. Scientists, the public, and educators formed this affinity space. They built connections by initiating activities and interacting with others, which created a Community Clusters social network structure, characterized by several medium-sized groups of closely connected users and a fair number of isolates. All three categories of people were in positions of influence in this network leading and controlling the conversations. The results show that scientists, the public, and educators share the space and contribute to communication in this online world. This research is important as it illustrates that online affinity spaces about scientific topics are not solely spaces for scientists to communicate but rather act as spaces where people with varied expertise can exchange ideas and learn from one another.

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Publication Details

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UNC Libraries
Published
2025-10-10
DOI
https://doi.org/10.17615/vvwy-vj85
Primary Topic
Complex Network Analysis Techniques
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article
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article

An Online Scientific Twitter World: Social Network Analysis of #ScienceTwitter, #SciComm, and #AcademicTwitter

Lisa Lundgren, Ha Nguyen, Man Zhang
UNC Libraries
Complex Network Analysis Techniques
article

An Online Scientific Twitter World: Social Network Analysis of #ScienceTwitter, #SciComm, and #AcademicTwitter

Lisa Lundgren, Ha Nguyen, Man Zhang
article en

Abstract

Understanding who makes up online affinity spaces as well as how information flows within those spaces is important as more people access news, research topics, collaborate with others, and entertain themselves. During a month-long period in summer 2021, we collected 100,000 tweets from 53,311 Twitter users who used the hashtags #ScienceTwitter, #SciComm, and #AcademicTwitter. We then classified users and determined the type of social network they formed. Scientists, the public, and educators formed this affinity space. They built connections by initiating activities and interacting with others, which created a Community Clusters social network structure, characterized by several medium-sized groups of closely connected users and a fair number of isolates. All three categories of people were in positions of influence in this network leading and controlling the conversations. The results show that scientists, the public, and educators share the space and contribute to communication in this online world. This research is important as it illustrates that online affinity spaces about scientific topics are not solely spaces for scientists to communicate but rather act as spaces where people with varied expertise can exchange ideas and learn from one another.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 77%
Complex Network Analysis Techniques
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An Online Scientific Twitter World: Social Network Analysis of #ScienceTwitter, #SciComm, and #AcademicTwitter — Lisa Lundgren, Ha Nguyen, et al. · UNC Libraries (2025) | TGRS Research Map | TGRS