Dataminr

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

Dataminr topic overview

The analysis highlights History, Companies, Art and Technology as prominent areas in the source structure around Dataminr.

Related topics: 30
Source areas: 3
Connected nodes: 33
Extracted relationships: 42
Related term clusters: 13
Bridge connections: 33

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 14 topics

History · 9 topics

Controversies · 7 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded: 2009; 17 years ago (2009)
Founders: Ted Bailey
Industry: Real-time information
Headquarters: Manhattan, New York, U.S.
Key people: Ted Bailey, CEO
Number of employees: 1050+ (2022)

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Dataminr

5Artificial intelligence · Feedly · Geofeedia

9New York (state) · New York City · Washington, D.C.

16Social media intelligence · Zerofox · 2021 United States Capitol attack

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Dataminr connects Entity context

The extracted context around Dataminr shows recurring relationship patterns in the source. For example, Dataminr → CNN, Jeff Kinsey, Laden, News, Osama, Sam Hendel, Ted Bailey, Twitter, Yale University Another extracted example is Dataminr → April, From October, Houston, LAPD, Los Angeles, Palestinian, The Intercept, The University. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to history · 9

Dataminr → CNN, Jeff Kinsey, Laden, News, Osama, Sam Hendel, Ted Bailey, Twitter, Yale University

related to Surveillance of pro-Palestinian protests and collaboration with LAPD · 8

Dataminr → April, From October, Houston, LAPD, Los Angeles, Palestinian, The Intercept, The University

related to Surveillance of racial justice protests · 5

Dataminr → First Alert, George Floyd, Race, The Intercept, Twitter

related to Surveillance of law-abiding abortion rights protests · 3

Dataminr → According, The Intercept, US Marshals

Founded · 1

Dataminr → 2009; 17 years ago (2009)

Founders · 1

Dataminr → Ted Bailey

Headquarters · 1

Dataminr → Manhattan, New York, U.S.

Industry · 1

Dataminr → Real-time information

Key people · 1

Dataminr → Ted Bailey, CEO

Number of employees · 1

Dataminr → 1050+ (2022)

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

alert company social new york surveillance 2025 protests media events pro-palestinian real-time people lapd news million intelligence used response dataminr's

Dataminr relationships Subject–Predicate–Object triples

TTTA extracted 42 structured relationships around Dataminr. Examples in this analysis include Dataminr → Founded → 2009; 17 years ago (2009) and Dataminr → Founders → Ted Bailey. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Dataminr	Founded	2009; 17 years ago (2009)	1.00	infobox
Dataminr	Founders	Ted Bailey	1.00	infobox
Dataminr	Headquarters	Manhattan, New York, U.S.	1.00	infobox
Dataminr	Industry	Real-time information	1.00	infobox
Dataminr	Key people	Ted Bailey, CEO	1.00	infobox
Dataminr	Number of employees	1050+ (2022)	1.00	infobox
Dataminr	Products	Software as a Service	1.00	infobox
Dataminr	Type	Private company	1.00	infobox
Dataminr	Website	dataminr.com	1.00	infobox
Dataminr	is a	artificial intelligence company	0.90	text
Feedly	instance of	Similar applications can be achieved by social surveillance vendors	0.80	text
Geofeedia	instance of	Similar applications can be achieved by social surveillance vendors	0.80	text

Related concept clusters Related term clusters

The concept neighborhoods around Dataminr bring nearby vocabulary together. In this analysis, examples include Alert, Protests and Pro-palestinian. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Dataminr
- Alert
- Protests
- Pro-palestinian
- Company
- Media
- Surveillance
- Social
- Events
- Intercept
- Lapd
- News
- October
dataminr
- Alert
- Protests
- Pro-palestinian
- Company
- Media
- Surveillance
- Social
- Events
- Intercept
- Lapd
- News
- October
new york
- New
- York
- Company
- Around
- Bailey
- Copenhagen
- Denmark
- Private
- Ted
- Lapd
- People
- Real-time
new york city
- New
- York
- Company
- Around
- Bailey
- Copenhagen
- Denmark
- Private
- Ted
- Lapd
- People
- Real-time
social media intelligence
- Media
- Social
- Intercept
- Posts
- Surveillance
- Protests
- October
- Million
- Intelligence
- News
- People
- Public
pro-palestinian protests
- Lapd
- Intercept
- Pro-palestinian
- Protests
- Media
- Surveillance
- Social
- Posts
- Used
- Bailey
- Ted
- October
lapd
- Pro-palestinian
- Protests
- Bailey
- Private
- Ted
- Intercept
- October
- Posts
- Real-time
- New
- York
- Media
george floyd protests
- Intercept
- Pro-palestinian
- Media
- Surveillance
- Social
- Lapd
- Posts
- Used
- Bailey
- Ted
- Real-time
- York

Connections between topic areas Semantic bridges

For Dataminr, one of the stronger structural bridges in this analysis connects Dataminr with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Dataminr — Overview · splits 19 ⟂ 15

Dataminr — History · splits 24 ⟂ 10

Dataminr — Controversies · splits 26 ⟂ 8

Map overview Semantic statistics

Dataminr

Nodes34

Edges33

Triples42

Avg. degree1.94

Density0.058824

Components1

Source & methodology

TTTA analyzes the structure around Dataminr to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies, Art & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Dataminr · EN edition · Analysis: TopicsToTalkAbout

Dataminr: History, Companies, Art & Technology

Dataminr topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

History

Controversies

For the semantics nerds

Advanced semantic analysis

How Dataminr connects Entity context

Dataminr

Top relations

Important terminology

Important terminology

Dataminr relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Dataminr

Source & methodology