ARGUS/OVERWATCH
NAMES · WHO THE NEWS NAMED · 10-18 TO 10-31

Gyanesh Kumar

person 26th Chief Election Commissioner of India (Retd. IAS Officer). Wikidata

Named in 3582 articles by 41 newsrooms, in 660 stories, on 14 of the last 14 days, first on 10-18.

Rank
0.1579
by the company kept · 1 is the top name
Articles
3582
6008 mentions
Linked to
2065
names in 2+ shared articles
This week
0.51×
against last week
In Congress's circle
70%
of that hub's 30 closest names are also linked here
Bridging
0.0548
between groups · 1 is the top bridge

Most exclusively tied top 30 · ties that pass the test on the right, most exclusive first

The names that appear with Gyanesh Kumar 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.

NameKindExclusivityTogether
Cockroach Janta Partyorg0.7551291
Special Intensive Revisionorg0.709743
Election Commissionorg0.689818
Jantar Mantarperson0.6751496
Narendra Modiperson0.661041
CECorg0.659771
SIRorg0.646679
Delhigpe0.6422162
Delhi Policeorg0.6291054
Connaught Placeorg0.628399
CJPorg0.6121547
Bharatiya Janata Partyorg0.608503
Abhijeet Dipkeperson0.599764
Scrollorg0.599231
New Delhigpe0.588891
Central Delhigpe0.585192
Election Commission of Indiaorg0.58301
Oppositionorg0.57290
Rahul Gandhiperson0.547751
BJPorg0.539782
ECIorg0.532253
Saurav Dasperson0.524625
Neha Boraperson0.511341
Lok Sabhaperson0.509213
Amit Shahperson0.507232
ANIorg0.497114
Union Homeorg0.49178
Benchorg0.466153
Bombay High Courtorg0.453148
Aam Aadmi Partyorg0.44793

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.

NameStrengthTogether
Delhi149202162
Cockroach Janta Party118581291
Jantar Mantar114331496
CJP103361547
Narendra Modi81311041
Delhi Police76761054
Election Commission7088818
Special Intensive Revision6865743
CEC6314771
New Delhi6070891
India57301402
SIR5527679
Abhijeet Dipke5472764
BJP4832782
Rahul Gandhi4761751

Articles per day

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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: AFP, ANI, Aadhaar, Aam Aadmi Party, Abhijeet Dipke, Amit Shah, Amritsar, Andhra Pradesh, Apple, Assembly, BJP, BNS, Bandra than Goa, Barack Obama, Bench, Bharatiya Janata Party, Bollywood, Bombay High Court, Brent, CBI.

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 stories
    Election Commission headed by as chief election commissioner Gyanesh Kumar CJP founder Abhijeet Dipke released after preventive detention in Delhi

The year 7451 articles on 36 days, 2026-09-24 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

2026-09 Jantar Mantar 9

Stories that name Gyanesh Kumar newest edition first · 40 shown

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.