Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Internet of things: Characters, History, Politics & Applications

Internet of things (IoT) describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communication networks. The field of IoT encompasses electronics, communication, and computer science engineering. "Internet of…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Internet of things topic overview

The analysis highlights Characters, History, Politics and Applications as prominent areas in the source structure around Internet of things.

Related topics
327
Source areas
10
Connected nodes
339
Extracted relationships
244
Concept neighborhoods
81
Bridge connections
339

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 · 109 topics
Criticism, problems and controversies · 60 topics
Enabling technologies · 46 topics
Trends and characteristics · 35 topics
Adoption barriers · 23 topics
History · 22 topics
Applications · 13 topics
Government regulation · 11 topics
Background · 6 topics
Politics and civic engagement · 2 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

Background

History

Applications

Trends and characteristics

Enabling technologies

Politics and civic engagement

Government regulation

Criticism, problems and controversies

Adoption barriers

Bibliography

  • ISBN ISBN (identifier)

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 Internet of things connects Entity context

The extracted context around Internet of things shows recurring relationship patterns in the source. For example, Internet of things → Acharjya, Alena, Charlier, Consumer Internet, David, Designing Connected Products, Envisioned Applications, Geetha, Goodman, HarperCollins Leadership, Industrial Internet Application Development, Internet, ISBN, Jayant, Li, Native Cloud Services, Novel Advances, O'Reilly Media, Packt Publishing, Public Cloud Another extracted example is Internet of things → According, AmI, As, CPS, Industrial Internet Consortium, Industrial Internet Consortium's Vocabulary, Information Age, Internet, IoE, IoT, IoT One, IoT Terms Database, IoT-related, IT, Kevin Lonergan, Lonergan, M2M, March, New Term Alert, Operational. Use these groups to spot repeated connection types before inspecting the individual relationships.

Internet of things

Top relations

related to Bibliography · 33
Internet of things → Acharjya, Alena, Charlier, Consumer Internet, David, Designing Connected Products, Envisioned Applications, Geetha, Goodman, HarperCollins Leadership, Industrial Internet Application Development, Internet, ISBN, Jayant, Li, Native Cloud Services, Novel Advances, O'Reilly Media, Packt Publishing, Public Cloud
related to Confusing terminology · 25
Internet of things → According, AmI, As, CPS, Industrial Internet Consortium, Industrial Internet Consortium's Vocabulary, Information Age, Internet, IoE, IoT, IoT One, IoT Terms Database, IoT-related, IT, Kevin Lonergan, Lonergan, M2M, March, New Term Alert, Operational
related to Addressability · 19
Internet of things → An, Auto-ID Center, Due, Electronic Product Code, IETF, Integration, Internet, Internet-of-things, IoT, IP, IPv4, IPv6, RFID, RFID-enabled, Semantic Web, The, This, To, URI
related to Intelligence · 17
Internet of things → Ambient, An, Edge/Fog, For, However, HVAC, Instead, Integrating, Intel, Internet, IoT, LSTM, Moreover, The, This, Through, Training
related to Space considerations · 11
Internet of things → Digital Earth, However, In, Internet, Just, Note, On, The GeoWeb, Therefore, Thus, Web
related to Design · 10
Internet of things → Application, Brown University, Given, If, Internet, Internet-of-things, IoT, Michael Littman, These, This
related to Security · 10
Internet of things → Due, However, Internet, IoT, Most, Security, SQL, The, These, Things
related to Traditional governance structure · 10
Internet of things → Among, Danish, Ericsson, Harvard Business Review, Internet, IoT, Kodak, Scott Anthony, Some, This
related to Complexity · 9
Internet of things → As, At, For, In, Internet, IoT, Managing, SDN, Subsystems
related to Product digitalization · 9
Internet of things → Authentication, Internet, NFC, Packaging, QR, Strictly, The, There, URL

Important terminology

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

Important terminology

iot devices data internet systems things technology security smart also applications control connected network used sensors management communication privacy application

Internet of things relationships Subject–Predicate–Object triples

TTTA extracted 244 structured relationships around Internet of things. Examples in this analysis include UbiComp → instance of → as well as academic venues and the iPhone → instance of → manufacturers can have their home products and accessories controlled by an application in iOS devices. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
UbiCompinstance ofas well as academic venues0.80text
PerCominstance ofas well as academic venues0.80text
produced the contemporary vision of the IoTinstance ofas well as academic venues0.80text
the iPhoneinstance ofmanufacturers can have their home products and accessories controlled by an application in iOS devices0.80text
the Apple Watchinstance ofmanufacturers can have their home products and accessories controlled by an application in iOS devices0.80text
Siriinstance ofThis could be a dedicated app or iOS native applications0.80text
falls or seizuresinstance ofincluding sensors that monitor for medical emergencies0.80text
biosensorsinstance ofThis includes sensor-based solutions0.80text
wearablesinstance ofThis includes sensor-based solutions0.80text
connected health devicesinstance ofThis includes sensor-based solutions0.80text
and mobile apps to track customer behaviorinstance ofThis includes sensor-based solutions0.80text
LTE-M to transmit location data to owners via smartphone applications when unauthorized movement is detected.V2X communicationsIn vehicular communication systemsinstance ofusing low-power wide-area network protocols0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Internet of things bring nearby vocabulary together. In this analysis, examples include Things, Iot and Devices. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Internet of things
    • Things
    • Iot
    • Devices
    • Connected
    • Data
    • Applications
    • Digital
    • Services
    • Industrial
    • Network
    • Systems
    • Monitoring
  • internet of things
    • Things
    • Iot
    • Devices
    • Connected
    • Data
    • Applications
    • Digital
    • Services
    • Industrial
    • Monitoring
    • Network
    • Systems
  • sensors
    • Include
    • Monitoring
    • Also
    • Applications
    • Information
    • Use
    • Connected
    • Things
    • Smart
    • Technology
    • Different
    • Technologies
  • technologies
    • Concerns
    • Use
    • Different
    • Application
    • Companies
    • Wireless
    • Also
    • Using
    • Privacy
    • Security
    • Management
    • Systems
  • internet
    • Things
    • Iot
    • Devices
    • Connected
    • Data
    • Applications
    • Digital
    • Services
    • Industrial
    • Network
    • Systems
    • Monitoring
  • communication
    • Wireless
    • Technology
    • Using
    • Technologies
    • Devices
    • Connected
    • Systems
    • Applications
    • Things
    • Data
    • Iot
    • System
  • embedded systems
    • Management
    • Control
    • Home
    • Smart
    • Information
    • Industrial
    • Different
    • Technology
    • Monitoring
    • Technologies
    • Application
    • Use
  • wireless sensor networks
    • Communication
    • Network
    • Used
    • Control
    • Using
    • Technologies
    • Devices
    • Information
    • Applications
    • Technology
    • Computer
    • Concerns

Connections between topic areas Semantic bridges

For Internet of things, one of the stronger structural bridges in this analysis connects Internet of things 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
Internet of thingsOverview · splits 230 ⟂ 110
Internet of thingsCriticism, problems and controversies · splits 279 ⟂ 61
Internet of thingsEnabling technologies · splits 293 ⟂ 47
Internet of thingsTrends and characteristics · splits 304 ⟂ 36
Internet of thingsAdoption barriers · splits 316 ⟂ 24
Internet of thingsHistory · splits 317 ⟂ 23
Internet of thingsApplications · splits 326 ⟂ 14
Internet of thingsGovernment regulation · splits 328 ⟂ 12
Internet of thingsBackground · splits 333 ⟂ 7
Internet of thingsPolitics and civic engagement · splits 337 ⟂ 3

Map overview Semantic statistics

Internet of things

Nodes340
Edges339
Triples244
Avg. degree1.99
Density0.005882
Components1

Source & methodology

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

Source: Wikipedia — Internet of things · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.