US 2,012,290,950 · Filed 2012-02-07

The Patent That Tried to Turn Social Media Into Topic-Tracking Gold

Imagine a social network that watches what topics your friends are obsessed with right now — whether it's a new video game, a celebrity scandal, or a sports team — and tells you when you're all focused on the same hot subject at the same time. This patent describes a system that tracks which topics are trending within your friend group and helps surface those shared interests so you can find things to do or talk about together.

Curated and verified by the IsItPatented Editorial team

The plain-English version

What it protects

The claim covers a system that monitors topics or subjects that social entities (like you and your friends) are paying attention to, measures the 'heat' or focus intensity each person gives to those topics during a specific time period, and then identifies cross-correlations between what you're interested in and what others in your social network are interested in. What's protected here is the method of tracking and matching these topic-attention patterns to show users when they and their social connections share the same hot interests.

Why it matters

This patent captures an early vision of algorithmic social networking centered on topic-matching rather than just friend connections. Filed in 2012, it describes technology that anticipates how modern platforms would eventually use shared interests and trending topics to keep users engaged and connected. The patent protects a formula for turning raw attention data into social opportunities — whether for conversations, transactions, or group activities — which remains a core business model for social and social-commerce platforms today.

Real-world use

When you see a notification that three of your friends are all talking about the same new movie or product, and the app suggests you might want to join their discussion or make a group purchase together, you're seeing the concept this patent describes in action.

Original USPTO abstract

Disclosed is a Social-Topical Adaptive Networking (STAN) system that can inform users of cross-correlations between currently focused-upon topic or other nodes in a corresponding topic or other data-objects organizing space maintained by the system and various social entities monitored by the system. More specifically, one of the cross-correlations may be as between the top N now-hottest topics being focused-upon by a first social entity and the amounts of focus ‘heat’ that other social entities (e.g., friends and family) are casting on the same topics (or other subregions of other cognitive attention receiving spaces) in a relevant time period.

Patent details

Publication number: US 2,012,290,950
Filing date: 2012-02-07
Grant date: Application — not yet granted
Assignee: Jeffrey A. Rapaport
Inventor(s): RAPAPORT JEFFREY ALAN, RAPAPORT SEYMOUR, SMITH KENNETH ALLEN, BEATTIE JAMES, GIMLAN GIDEON
CPC class: G06Q10/10

View original record on Google Patents →

Want to file your own patent?

If you're building a social app that groups people by shared interests, check our scanner to see if you're treading on existing patent terrain before you launch.

Free patentability scan