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Seesmic: History, Literary Connections & Companies

Seesmic was a suite of freeware web, mobile, and desktop applications which allowed users to simultaneously manage user accounts for multiple social networks, such as Facebook and Twitter.

Language: English [EN]
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Seesmic topic overview

The analysis highlights History, Literary Connections and Companies as prominent areas in the source structure around Seesmic.

Related topics
35
Source areas
2
Connected nodes
37
Extracted relationships
16
Related term clusters
19
Bridge connections
37

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.

History · 24 topics
Overview · 11 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.

License
Freeware
Operating system
Microsoft Windows, Mac OS (Desktop) Linux (Web) iOS, Android, Windows Phone 7, BlackBerry OS (Mobile)
Original authors
Loïc Le Meur Johann Romefort
Platform
Microsoft Silverlight (Desktop)

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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

History

For the semantics nerds

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

Advanced semantic analysis

How Seesmic connects Entity context

The extracted context around Seesmic shows recurring relationship patterns in the source. For example, Seesmic → Adobe AIR, April, Demo, Facebook, Loïc Le Meur, Seesmic's, Starting, Twhirl, Twitter Another extracted example is Seesmic → Freeware. Use these groups to spot repeated connection types before inspecting the individual relationships.

Seesmic

Top relations

related to history · 9
Seesmic → Adobe AIR, April, Demo, Facebook, Loïc Le Meur, Seesmic's, Starting, Twhirl, Twitter
License · 1
Seesmic → Freeware
Operating system · 1
Seesmic → Microsoft Windows, Mac OS (Desktop) Linux (Web) iOS, Android, Windows Phone 7, BlackBerry OS (Mobile)
Original authors · 1
Seesmic → Loïc Le Meur Johann Romefort
Platform · 1
Seesmic → Microsoft Silverlight (Desktop)
Website · 1
Seesmic → www.seesmic.com

Important terminology

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

Important terminology

twitter facebook le meur web desktop video social mobile users suite loïc website freeware 2008 apps user service relaunched ios

Seesmic relationships Subject–Predicate–Object triples

TTTA extracted 16 structured relationships around Seesmic. Examples in this analysis include Seesmic → License → Freeware and Seesmic → Operating system → Microsoft Windows, Mac OS (Desktop) Linux (Web) iOS, Android, Windows Phone 7, BlackBerry OS (Mobile). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
SeesmicLicenseFreeware1.00infobox
SeesmicOperating systemMicrosoft Windows, Mac OS (Desktop) Linux (Web) iOS, Android, Windows Phone 7, BlackBerry OS (Mobile)1.00infobox
SeesmicOriginal authorsLoïc Le Meur Johann Romefort1.00infobox
SeesmicPlatformMicrosoft Silverlight (Desktop)1.00infobox
SeesmicWebsitewww.seesmic.com1.00infobox
Twitterinstance ofchanging the objective from creating a new video social networking site to creating a suite of tools that would instead aggregate content from other social networking sites0.80text
Facebookinstance ofchanging the objective from creating a new video social networking site to creating a suite of tools that would instead aggregate content from other social networking sites0.80text
Seesmicrelated to historyStarting0.60section
Seesmicrelated to historyDemo0.60section
Seesmicrelated to historyTwitter0.60section
Seesmicrelated to historyApril0.60section
Seesmicrelated to historyTwhirl0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Seesmic bring nearby vocabulary together. In this analysis, examples include Twitter, Desktop and Web. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Seesmic
    • Twitter
    • Desktop
    • Web
    • Facebook
    • Client
    • Mobile
    • Le
    • Meur
    • Social
    • Android
    • Blackberry
    • Customer
  • seesmic
    • Twitter
    • Desktop
    • Web
    • Facebook
    • Client
    • Mobile
    • Le
    • Meur
    • Social
    • Android
    • Blackberry
    • Customer
  • mobile
    • Desktop
    • Web
    • User
    • Suite
    • Facebook
    • Le
    • Meur
    • Original
    • Social
    • Android
    • Blackberry
    • Due
  • desktop
    • Mobile
    • Web
    • Facebook
    • Freeware
    • Social
    • User
    • Suite
    • Seesmic
    • Twitter
    • Le
    • Meur
    • Original
  • facebook
    • Social
    • Twitter
    • Suite
    • Web
    • Networking
    • Sites
    • User
    • Apps
    • Client
    • Mobile
    • Seesmic
    • Android
  • twitter
    • Client
    • Web
    • Video
    • Cross
    • Networking
    • Service
    • Sites
    • User
    • Announced
    • Apps
    • Le
    • Meur
  • loïc le meur
    • Meur
    • Online
    • Website
    • Loïc
    • Video
    • Due
    • Service
    • Mobile
    • Original
    • Web
    • Android
    • Blackberry
  • android
    • Blackberry
    • Ios
    • Original
    • Web
    • Customer
    • Freeware
    • Management
    • Microsoft
    • Online
    • Relations
    • Website
    • Announced

Connections between topic areas Semantic bridges

For Seesmic, one of the stronger structural bridges in this analysis connects Seesmic with History. 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
Seesmic — History · splits 13 ⟂ 25
Seesmic — Overview · splits 26 ⟂ 12

Map overview Semantic statistics

Seesmic

Nodes38
Edges37
Triples16
Avg. degree1.95
Density0.052632
Components1

Source & methodology

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

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

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