CERN Audience Graph • Social Signal

CERN's top 10 nearest neighbors span science media, news publishers, politicians, and a non-profit — a mixed cluster with no single dominant type and scores compressed into a narrow band from 0.90 down to 0.88.

The shape is flat: National Geographic leads at 0.90, but Mazie Hirono (0.89), IFLScience (0.89), News from Science (0.89), Science News (0.89), and Discover Magazine (0.88) all sit within two hundredths of a point of each other. No single neighbor pulls away from the pack. Tallying subcategories across the ten: Magazines account for three entries (National Geographic, Discover Magazine, WIRED Science), News Publishers two (News from Science, Science News), and Websites one (IFLScience). The remaining four are a Non-Profit (World Health Organization), a Politician (Mazie Hirono), a Reuters News Publisher, and Apple News. No other Research Organization — CERN's own subcategory — appears in the top 10. The cross-kind finding is notable: science and general-interest media dominate, but politicians and a global health body sit comfortably alongside them, suggesting the audience composition that shapes CERN's neighborhood is defined less by institutional type than by a shared orientation toward credentialed, internationally-minded information.

The flat, tightly-banded cluster points to an audience whose shape is broadly recognizable across science media, global news, and policy-adjacent figures rather than concentrated around any single peer.

Machine-Readable

Raw data

Attention graph /similar sample results (free):

https://graphs.socialsignal.ai/similar/cern

{ "handle": "cern", "title": "CERN", "category": "Organizations", "subcategory": "Research Organizations", "resolved": "cern", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "natgeo", "title": "National Geographic", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.8994, "drivers": [ "N03", "G03", "G01", "A02", "J04" ] }, { "handle": "maziehirono", "title": "Mazie Hirono", "category": "Celebrities and Influencers", "subcategory": "Politicians", "similarity": 0.8933, "drivers": [ "N03", "G03", "G01", "A02", "J04" ] }, { "handle": "iflscience", "title": "IFLScience", "category": "Marketing Channels", "subcategory": "Websites", "similarity": 0.8907, "drivers": [ "N03", "G03", "J04", "G01", "A02" ] }, { "handle": "newsfromscience", "title": "News from Science", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.8861, "drivers": [ "G03", "N03", "G01", "A02", "H04" ] }, { "handle": "who", "title": "World Health Organization (WHO)", "category": "Organizations", "subcategory": "Non-Profit", "similarity": 0.8855, "drivers": [ "G03", "G01", "A02", "J04", "H02" ] }, { "handle": "sciencenews", "title": "Science News", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.8853, "drivers": [ "G03", "N03", "J04", "G01", "A06" ] }, { "handle": "discovermag", "title": "Discover Magazine", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.8842, "drivers": [ "N03", "G03", "J04", "G01", "A02" ] }, { "handle": "wiredscience", "title": "WIRED Science", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.8816, "drivers": [ "G03", "G01", "A02", "J04", "G02" ] }, { "handle": "reuters", "title": "Reuters", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.877, "drivers": [ "G03", "G01", "A02", "J04", "I01" ] }, { "handle": "applenews", "title": "Apple News", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.8762, "drivers": [ "N03", "G03", "G01", "A06", "A02" ] } ] }

Full Attention graph /similarity /affinity /demographics available with API key:

https://graphs.socialsignal.ai/v1/attention/similar/cern

CERN

Nearest neighbors by audience shape

Raw data