Share

Library Journal

Marketing Channels
Magazines
Playground →Docs

The top 10 neighbors for Library Journal span book-world properties, political media, and news commentary in a narrow similarity band — from Goodreads at 0.92 down to Publishers Weekly at 0.88, a spread of just four points across ten positions. That compression is the defining structural feature here: no single neighbor dominates, and no cluster pulls sharply away from the rest.

The shape is flat, meaning the audience composition of Library Journal resembles a wide mix of entities rather than converging tightly on one kind. Within the top 10, book-adjacent properties are present but not overwhelming: Goodreads (0.92), Book Riot (0.89), Little, Brown and Co (0.88), and Publishers Weekly (0.88) account for four of the ten slots. The remaining six are drawn from political and news media — Jaime Harrison (0.90), John Fugelsang (0.88), Meet the Press (0.88), Daniel Dale (0.88), The Good Men Project (0.88), and The Recount (0.88). That split — roughly half book publishing and half political commentary — means the audience shape Library Journal shares most closely is not purely a reading-world shape; it overlaps substantially with audiences that follow journalists, politicians, and news programming. The two subcategories that appear most in the top 10 are Magazines and Websites (two each), but Politicians, Journalists, TV Shows, Comedians, Book Publishers, and Entertainment Platforms each contribute one neighbor, underscoring how distributed the overlap is.

The flat shape signals an audience that is broadly engaged across civic and literary media rather than concentrated in any single niche.

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": "libraryjournal", "title": "Library Journal", "category": "Marketing Channels", "subcategory": "Magazines", "resolved": "libraryjournal", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "goodreads", "title": "Goodreads", "category": "Brands", "subcategory": "Entertainment Platforms", "similarity": 0.917, "drivers": [ "N03", "A02", "G01", "P04", "G03" ] }, { "handle": "harrisonjaime", "title": "Jaime Harrison", "category": "Celebrities and Influencers", "subcategory": "Politicians", "similarity": 0.8984, "drivers": [ "A02", "G01", "G03", "N03", "J02" ] }, { "handle": "bookriot", "title": "Book Riot", "category": "Marketing Channels", "subcategory": "Websites", "similarity": 0.889, "drivers": [ "A02", "G01", "G03", "N03", "I01" ] }, { "handle": "johnfugelsang", "title": "John Fugelsang", "category": "Celebrities and Influencers", "subcategory": "Comedians", "similarity": 0.8828, "drivers": [ "A02", "G01", "G03", "N03", "J04" ] }, { "handle": "littlebrown", "title": "Little, Brown and Co", "category": "Brands", "subcategory": "Book Publishers", "similarity": 0.8825, "drivers": [ "A02", "G01", "N03", "G03", "I01" ] }, { "handle": "meetthepress", "title": "Meet the Press", "category": "Marketing Channels", "subcategory": "TV Shows", "similarity": 0.8793, "drivers": [ "A02", "G01", "N03", "G03", "J02" ] }, { "handle": "ddale8", "title": "Daniel Dale", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.8779, "drivers": [ "A02", "G01", "G03", "N03", "A01" ] }, { "handle": "goodmenproject", "title": "The Good Men Project", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.8766, "drivers": [ "G01", "A02", "N03", "G03", "J02" ] }, { "handle": "therecount", "title": "The Recount", "category": "Marketing Channels", "subcategory": "Websites", "similarity": 0.8762, "drivers": [ "A02", "G01", "N03", "G03", "J02" ] }, { "handle": "publisherswkly", "title": "Publishers Weekly", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.8761, "drivers": [ "A02", "G01", "G03", "I01", "N03" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: