OSoMeNet – tool that helps visualize content diffusion patterns on social media platforms

  • OSoMeNet is a tool that visualizes information spreading and sharing patterns on multiple social media platforms.
  • How does OSoMeNet work? OSoMeNet uses search APIs provided by social media platforms (e.g. Bluesky and Mastodon) to generate diffusion and co-occurrence networks. The networks are visualized using Helios Web. Helios Web is a web-based library developed by Filipi Nascimento Silva.
  • What is the timeline feature? The timeline shows post activity over time. You can click on a point in the timeline to view the state of the network at that time, or press “Play” to animate how the network evolves. For Bluesky and TikTok queries, there is a limited number of posts returned per request. If the initial query does not return all available posts within the selected time range, you can use the Add Posts button to load additional results and continue building your network visualization.
  • What is the follower filter? The follower filter allows you to limit the visualization to accounts within a certain follower range. Because raw follower counts are heavily skewed (a few accounts have extremely large followings), the values are transformed using a logarithmic scale and then normalized. The slider shows real follower counts, so you can set clear thresholds — for example, only accounts with at least 1,000 or 100,000 followers. The filter is available for both Bluesky and Mastodon.
  • Who is behind OSoMeNet and how can I contact them? OSoMeNet is a project of the Observatory on Social Media (OSoMe, pronounced “awesome”) at Indiana University. OSoMe is a research center studying social media, technology, and online misinformation. OSoMeNet was developed by Sarah Beverton, Pasan Kamburugamuwa, and Nick Liu. The following individuals have also contributed to this project: Ben Serrette and Filippo Menczer. This project is supported in part by the Open Technology Fund (OTF), Defense Advanced Research Projects Agency (DARPA), Craig Newmark Philanthropies, and the Knight Foundation.
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Posted in: E-Records, Internet, Knowledge Management, Legal Research, Search Engines, Social Media
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