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U.S. Surgeon General

Organizations
Government
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The U.S. Surgeon General's top 10 nearest neighbors span public health agencies, medical associations, news publishers, and a security blog — a mixed cluster with no single dominant pull and scores compressed between 0.94 and 0.89.

The shape is flat: the top two neighbors, American Medical Association (0.94) and Centers for Disease Control and Prevention (0.94), sit nearly level, and the remaining eight descend gradually through HHS.gov (0.92), CDC eHealth (0.92), CDC Director (0.91), Schneier Blog (0.91), NIH (0.90), and Reuters Health (0.89). By subcategory, the top 10 breaks into Government (four entries: CDC, HHS.gov, CDC eHealth, CDC Director), Non-Profit (one: AMA), Research Organizations (one: NIH), News Publishers (one: Reuters Health), Blogs (one: Schneier Blog), Authors (one: Beth Doane), and TV Personalities (one: Sanjay Gupta). The center entity's own subcategory — Government — accounts for four of the ten neighbors, making it the plurality type, but the remaining six span five different subcategories. The presence of Schneier Blog, a cybersecurity publication, alongside health agencies and a medical TV personality illustrates how broadly this audience composition distributes across institutional and media types.

The flat, multi-subcategory spread suggests an audience defined less by a single institutional loyalty than by a general orientation toward credentialed, policy-adjacent information sources.

Nearest neighbors by audience shape

Cosine similarity over Persona Live audience composition.
"Entities whose overall audience profile most closely matches this one — people who follow one tend to follow the other."

Raw data

Attention graph /similar sample results  (free):
{ "handle": "surgeon_general", "title": "U.S. Surgeon General", "category": "Organizations", "subcategory": "Government", "resolved": "surgeon_general", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "amermedicalassn", "title": "American Medical Association", "category": "Organizations", "subcategory": "Non-Profit", "similarity": 0.9369, "drivers": [ "A01", "G01", "G03", "A02", "A03" ] }, { "handle": "cdcgov", "title": "Centers for Disease Control and Prevention", "category": "Organizations", "subcategory": "Government", "similarity": 0.9357, "drivers": [ "A01", "G03", "A02", "G01", "A03" ] }, { "handle": "bethdoane", "title": "Beth Doane", "category": "Celebrities and Influencers", "subcategory": "Authors", "similarity": 0.9185, "drivers": [ "N03", "A01", "G01", "G03", "A03" ] }, { "handle": "hhsgov", "title": "HHS.gov", "category": "Organizations", "subcategory": "Government", "similarity": 0.9185, "drivers": [ "A01", "G03", "G01", "N03", "A03" ] }, { "handle": "cdc_ehealth", "title": "CDC eHealth", "category": "Organizations", "subcategory": "Government", "similarity": 0.9157, "drivers": [ "A01", "G03", "G01", "A03", "A02" ] }, { "handle": "cdcdirector", "title": "CDC Director", "category": "Celebrities and Influencers", "subcategory": "Government Officials", "similarity": 0.9126, "drivers": [ "A01", "G03", "G01", "A02", "A03" ] }, { "handle": "schneierblog", "title": "Schneier Blog", "category": "Marketing Channels", "subcategory": "Blogs", "similarity": 0.9057, "drivers": [ "A02", "G03", "A01", "G01", "A03" ] }, { "handle": "nih", "title": "NIH", "category": "Organizations", "subcategory": "Research Organizations", "similarity": 0.895, "drivers": [ "A01", "G03", "A02", "G01", "A03" ] }, { "handle": "reuters_health", "title": "Reuters Health", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.893, "drivers": [ "A02", "A01", "G03", "G01", "A03" ] }, { "handle": "drsanjaygupta", "title": "Sanjay Gupta", "category": "Celebrities and Influencers", "subcategory": "TV Personalities", "similarity": 0.8929, "drivers": [ "A01", "A02", "G01", "G03", "A03" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: