{
  "patent_number": "US 12737778",
  "country": "US",
  "title": "Analyzing Connections in Social Networks",
  "original_title": "Systems and methods for social graph data analytics to determine connectivity within a community",
  "summary": "This patent describes systems for analyzing how people are connected in online communities by assigning scores for things like trust or influence, then using those scores to make automated decisions.",
  "what_it_does": "This system analyzes connections within a network community by assigning specific 'user connectivity values' to members. These values can represent factors such as 'alignment, reputation, status, and/or influence' or 'the degree of trust' (Abstract). These values can be manually assigned by users or automatically generated based on interactions or third-party data (Abstract). The system then finds 'paths connecting a first node to a second node' and performs 'social graph data analytics' on these paths (Abstract). Finally, the analyzed connectivity values and other social graph data are 'outputted to third-party processes and services' to help with 'initiating automatic transactions or making automated network-based or real-world decisions' (Abstract). For example, an online community platform could use this to automatically recommend a mentor to a new member based on high 'alignment' and 'reputation' scores.",
  "what_it_does_not_cover": [
    "Does not cover analyzing non-social graphs, such as electrical circuits or transportation routes, as it specifically focuses on 'social graph data analytics'.",
    "Does not cover systems that only visualize social connections without assigning specific 'user connectivity values' like reputation or trust.",
    "Does not cover systems where decisions based on connectivity are made manually by a human, as it emphasizes 'initiating automatic transactions or making automated network-based or real-world decisions'.",
    "Does not cover simple friend lists or follower counts without further analysis of 'alignment, reputation, status, and/or influence' among members."
  ],
  "filed": "2024-03-18",
  "granted": "2026-09-15",
  "expires": null,
  "status": "active",
  "holder": null,
  "holder_url": null,
  "inventors": [],
  "times_cited": 0,
  "tags": [
    "software",
    "telecommunications",
    "ai_ml",
    "ecommerce",
    "consumer_electronics"
  ],
  "abstract": "Systems and methods for social graph data analytics to determine the connectivity between nodes within a community are provided. A user may assign user connectivity values to other members of the community, or connectivity values may be automatically assigned from third parties or based on the frequency of interactions between members. Connectivity values may represent such factors as alignment, reputation, status, and/or influence within a social graph of a network community, or the degree of trust. The paths connecting a first node to a second node may be retrieved, and social graph data analytics may be performed on the retrieved paths. Network connectivity values and/or other social graph data may be outputted to third-party processes and services for use in initiating automatic transactions or making automated network-based or real-world decisions.",
  "url": "https://patentbrief.org/patent/us/12737778/systems-and-methods-for-social-graph-data-analytics-to-determine-connectivity",
  "markdown_url": "https://patentbrief.org/patent/us/12737778/systems-and-methods-for-social-graph-data-analytics-to-determine-connectivity/md",
  "google_patents_url": "https://patents.google.com/patent/US12737778",
  "relatedPatents": []
}