Information propagation probability for a social network
US8938407B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 17, 2013 |
| Grant date | Jan 20, 2015 |
| Priority date | — |
| Expiry date | Jun 17, 2033 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/52
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One or more techniques and/or systems are disclosed for predicting propagation of a message on a social network. A predictive model is trained to determine a probability of propagation of information on the social network using both positive and negative information propagation feedback, which may be collected while monitoring the social network over a desired period of time for information propagation. A particular message can be input to the predictive model, which can determine a probability of propagation of the message on the social network, such as how many connections may receive at least a portion of the message and/or a likelihood of at least a portion of the message reaching respective connections in the social network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.