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EJ Dionne

Celebrities and Influencers
Journalists
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EJ Dionne's top 10 neighbors are almost entirely fellow journalists — and the scores compress into a remarkably tight band, with no single neighbor pulling away from the rest.

Similarity here measures how closely two entities' audiences resemble each other in composition. All ten neighbors fall between 0.98 and 0.97, a range so narrow it signals a densely homogeneous audience cluster rather than any meaningful hierarchy. Robert Costa leads at 0.99, followed by John Harwood at 0.98, Philip Rucker at 0.98, and David Frum at 0.98 — all journalists. Manu Raju and Katy Tur continue the pattern at 0.98 and 0.98 respectively. The one structural break in the top 10 is David Axelrod at 0.98, whose subcategory is Politicians rather than Journalists — the sole non-journalist in the set. The remaining three slots return to journalists: Natasha Bertrand at 0.98, Peter Baker at 0.98, and Norm Eisen at 0.98, though Eisen's subcategory is Government Officials, making him the second non-journalist in the top 10.

Nine of the ten neighbors share Dionne's own subcategory of Journalists, with Axelrod (Politicians) and Eisen (Government Officials) as the only departures — and both sit at the lower end of the band.

The shape of this audience is one of the tightest same-kind clusters the data can produce: an audience that follows political journalists almost exclusively, with virtually no gradient separating one from another.

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": "ejdionne", "title": "EJ Dionne", "category": "Celebrities and Influencers", "subcategory": "Journalists", "resolved": "ejdionne", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "costareports", "title": "Robert Costa", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9872, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "johnjharwood", "title": "John Harwood", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9845, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "philiprucker", "title": "Philip Rucker", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9831, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "davidfrum", "title": "David Frum", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9829, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "mkraju", "title": "Manu Raju", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9826, "drivers": [ "A02", "G01", "A01", "G03", "J04" ] }, { "handle": "katyturnbc", "title": "Katy Tur", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9817, "drivers": [ "A02", "G01", "A01", "G03", "J04" ] }, { "handle": "davidaxelrod", "title": "David Axelrod", "category": "Celebrities and Influencers", "subcategory": "Politicians", "similarity": 0.9806, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] }, { "handle": "natashabertrand", "title": "Natasha Bertrand", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9805, "drivers": [ "A02", "G01", "A01", "G03", "J04" ] }, { "handle": "normeisen", "title": "Norm Eisen", "category": "Celebrities and Influencers", "subcategory": "Government Officials", "similarity": 0.9795, "drivers": [ "A02", "G01", "A01", "J04", "G03" ] }, { "handle": "peterbakernyt", "title": "Peter Baker", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.9793, "drivers": [ "A02", "G01", "A01", "G03", "J01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: