Salman Khan
person Indian actor and producer (born 1965). Wikidata
Named in 1195 articles by 47 newsrooms, in 188 stories, on 14 of the last 14 days, first on 10-18.
Most exclusively tied top 30 · ties that pass the test on the right, most exclusive first
The names that appear with Salman Khan in a large share of their own coverage: this name's own company. Exclusivity runs from 0, two names that meet no more than chance would have them, to 1, two names that only ever appear together. A name that is in everything, a president, is exclusive to no one, so the big names fall away here and the names that belong to this one stay. Only ties that pass the strength test count, so a pair seen twice is not a tie. Places are context and have no page.
| Name | Kind | Exclusivity | Together |
|---|---|---|---|
| Karan | gpe | 0.638 | 85 |
| Tiger Shroff | person | 0.614 | 549 |
| Koffee | gpe | 0.6 | 69 |
| Bollywood | org | 0.58 | 210 |
| Salma | gpe | 0.551 | 14 |
| Devendra Fadnavis | person | 0.459 | 36 |
| Prabhas | gpe | 0.436 | 14 |
| ANI | org | 0.419 | 32 |
| Mumbai | gpe | 0.389 | 239 |
| Home | org | 0.385 | 24 |
| Kota | gpe | 0.377 | 40 |
| Sonipat | gpe | 0.36 | 13 |
| Rajasthan | gpe | 0.347 | 35 |
| Mohanlal | gpe | 0.347 | 14 |
| Andheri | gpe | 0.346 | 8 |
| Dhurandhar | gpe | 0.342 | 6 |
| Amitabh Bachchan | person | 0.307 | 13 |
| South Haryana | person | 0.306 | 27 |
| Aadhaar | org | 0.304 | 8 |
| Ranbir Kapoor | org | 0.29 | 17 |
| Gujarat | gpe | 0.286 | 27 |
| Hindustan Times | org | 0.282 | 11 |
| BMW | org | 0.275 | 7 |
| Sultan | gpe | 0.271 | 7 |
| Gurugram | org | 0.268 | 9 |
| Nana Patekar | person | 0.266 | 11 |
| Abu Dhabi | gpe | 0.255 | 35 |
| Rashmika | gpe | 0.255 | 26 |
| Vijay Deverakonda | person | 0.252 | 32 |
| Hindi | gpe | 0.25 | 16 |
Most strongly tied the ties chance explains least
How sure the record is that two names appear together for a reason. Strength is a standard statistical test (log-likelihood): above 10.8, chance would produce the pairing less than once in a thousand times. It grows with the number of articles, so the biggest names come first here; the list on the left is where this name's own company shows.
| Name | Strength | Together |
|---|---|---|
| Tiger Shroff | 4363 | 549 |
| Bollywood | 1728 | 210 |
| Mumbai | 1149 | 239 |
| Karan | 904 | 85 |
| Koffee | 692 | 69 |
| Devendra Fadnavis | 273 | 36 |
| Kota | 231 | 40 |
| ANI | 219 | 32 |
| Rajasthan | 184 | 35 |
| Salma | 155 | 14 |
| Home | 152 | 24 |
| Indian Express | 142 | 50 |
| South Haryana | 124 | 27 |
| Abu Dhabi | 120 | 35 |
| Gujarat | 113 | 27 |
Articles per day
The hubs' circles share of each hub's 30 closest names that are also linked to this one
The eight most-named figures each have an inner circle: the thirty names most tied to them. This is how much of each circle this name is also tied to. A count of shared company in the coverage, nothing more.
Shared with Congress: ANI, Aadhaar, BJP, Bollywood, Bombay High Court, CCTV, Covid, DCP, Delhi High Court, Delhi Police, Devendra Fadnavis, FIR, Gurugram, Gyanesh Kumar, High Court, Hindustan Times, Home, Indian Express, Ministry of External Affairs, PTI.
As the sources put it relations a model read from the stories' sources · shown when two or more stories say it
The words are the sources' words, read out by a model; nothing here reads intent. A relation from one story alone is not shown.
- 2 storiesTiger Shroff worked with Salman Khan Three arrested after shots fired at Tiger Shroff’s vehicle in Mumbai
- 2 storiesSalman Khan worked with Tiger Shroff Three arrested after shots fired at Tiger Shroff’s vehicle in Mumbai
The year 1935 articles on 30 days, 2026-09-05 to 2026-10-31 · weekly bars · 14 months on record
Left is a year ago, right is this week. Older days come from headlines only, so their counts run lower than live days.
Named together, month by month · by surprise, among that month's articles · names with a page
Stories that name Salman Khan newest edition first · 31 shown
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Names are found by a language model trained to spot them, joined to one spelling per person, and counted per article. The relations are the model's reading of the sources. Everything else is a count of who was written about together; it says nothing about why.