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Crowdmapping: Applications, Uses & Overview

Crowdmapping is a subtype of crowdsourcing by which aggregation of crowd-generated inputs such as captured communications and social media feeds are combined with geographic data to create a digital map that is as up-to-date as possible on events such as wars, humanitarian crises, crime, elections, or natural disasters. Such maps are typically created…

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Crowdmapping topic overview

The analysis highlights Applications, Uses and Overview as prominent areas in the source structure around Crowdmapping.

Related topics
34
Source areas
2
Connected nodes
36
Extracted relationships
33
Concept neighborhoods
20
Bridge connections
36

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.

Uses · 20 topics
Overview · 14 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.

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.

Overview

Uses

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Crowdmapping connects Entity context

The extracted context around Crowdmapping shows recurring relationship patterns in the source. For example, Crowdmapping → Android, April, CCTV, Dagbladet Information, Danish, Fukushima Daiichi, Geiger, Haiti, HealthMap, Hurricane Irene, In, Kenyan, Nepal, New York City, One, OpenStreetMap, Safecast, The, The Humanitarian OpenStreetMap Team, This Another extracted example is Crowdmapping → subtype of crowdsourcing by which aggregation of crowd-generated inputs such as captured communications and social media feeds are combined with geographic data to create a digi…. Use these groups to spot repeated connection types before inspecting the individual relationships.

Crowdmapping

Top relations

related to Examples · 24
Crowdmapping → Android, April, CCTV, Dagbladet Information, Danish, Fukushima Daiichi, Geiger, Haiti, HealthMap, Hurricane Irene, In, Kenyan, Nepal, New York City, One, OpenStreetMap, Safecast, The, The Humanitarian OpenStreetMap Team, This
is a · 1
Crowdmapping → subtype of crowdsourcing by which aggregation of crowd-generated inputs such as captured communications and social media feeds are combined with geographic data to create a digi…
related to Uses · 1
Crowdmapping → During

Important terminology

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

Important terminology

map data information events disasters maps 2010 typically crime ushahidi used areas use crisis volunteers media digital humanitarian natural people

Crowdmapping relationships Subject–Predicate–Object triples

TTTA extracted 33 structured relationships around Crowdmapping. Examples in this analysis include Crowdmapping → is a → subtype of crowdsourcing by which aggregation of crowd-generated inputs such as captured communications and social media feeds are combined with geographic data to create a digi… and wars → instance of → Crowdmapping is a subtype of crowdsourcing by which aggregation of crowd-generated inputs such as captured communications and social media feeds are combined with geographic dat…. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Crowdmappingis asubtype of crowdsourcing by which aggregation of crowd-generated inputs such as captured communications and social media feeds are combined with geographic data to create a digi…0.90text
warsinstance ofCrowdmapping is a subtype of crowdsourcing by which aggregation of crowd-generated inputs such as captured communications and social media feeds are combined with geographic dat…0.80text
humanitarian crisesinstance ofCrowdmapping is a subtype of crowdsourcing by which aggregation of crowd-generated inputs such as captured communications and social media feeds are combined with geographic dat…0.80text
crimeinstance ofCrowdmapping is a subtype of crowdsourcing by which aggregation of crowd-generated inputs such as captured communications and social media feeds are combined with geographic dat…0.80text
electionsinstance ofCrowdmapping is a subtype of crowdsourcing by which aggregation of crowd-generated inputs such as captured communications and social media feeds are combined with geographic dat…0.80text
or natural disastersinstance ofCrowdmapping is a subtype of crowdsourcing by which aggregation of crowd-generated inputs such as captured communications and social media feeds are combined with geographic dat…0.80text
where buildingsinstance ofwhile on-site disaster relief workers provide relevant information0.80text
roads have been destroyed or repaired.One week after the Fukushima Daiichi nuclear disaster in 2011 the Safecast project was launched that loaned volunteers cheap Geiger counters to measure local levels of radioactivityinstance ofwhile on-site disaster relief workers provide relevant information0.80text
Crowdmappingrelated to ExamplesHealthMap0.60section
Crowdmappingrelated to ExamplesKenyan0.60section
Crowdmappingrelated to ExamplesIn0.60section
Crowdmappingrelated to ExamplesHaiti0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Crowdmapping bring nearby vocabulary together. In this analysis, examples include Events, Used and Crime. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Crowdmapping
    • Events
    • Used
    • Crime
    • Fires
    • Media
    • Platform
    • Ushahidi
    • Map
    • Aggregation
    • Crowdsourcing
    • Elections
    • Wars
  • crowdmapping
    • Events
    • Used
    • Crime
    • Fires
    • Media
    • Platform
    • Ushahidi
    • Map
    • Aggregation
    • Crowdsourcing
    • Elections
    • Wars
  • crime
    • Media
    • Events
    • Crowdsourcing
    • Elections
    • Wars
    • Crowdmapping
    • Also
    • Digital
    • Disease
    • Fires
    • Humanitarian
    • Level
  • digital map
    • Elections
    • Wars
    • Map
    • Crisis
    • Events
    • Humanitarian
    • Media
    • Natural
    • Response
    • Disasters
    • Sms
    • Fires
  • 2007–08 kenyan crisis
    • Map
    • Digital
    • Fires
    • Level
    • People
    • Platform
    • Relevant
    • Response
    • Ushahidi
    • Events
    • Maps
    • Use
  • dagbladet information
    • Online
    • Use
    • Sms
    • Also
    • Disease
    • Free
    • Level
    • Relevant
    • Track
    • Typically
    • Areas
    • Crisis
  • social media
    • Elections
    • Wars
    • Also
    • Disease
    • Fires
    • Humanitarian
    • Level
    • May
    • Natural
    • Spread
    • Track
    • Areas
  • geographic data
    • Digital
    • Map
    • Elections
    • Wars
    • Also
    • Disease
    • Humanitarian
    • Media
    • Natural
    • Response
    • Crisis
    • Disasters

Connections between topic areas Semantic bridges

For Crowdmapping, one of the stronger structural bridges in this analysis connects Crowdmapping with Uses. 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
Crowdmapping — Uses · splits 16 ⟂ 21
Crowdmapping — Overview · splits 22 ⟂ 15

Map overview Semantic statistics

Crowdmapping

Nodes37
Edges36
Triples33
Avg. degree1.95
Density0.054054
Components1

Source & methodology

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

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

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