Methods and apparatus for prediction and modification of behavior in networks
US9098798B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 29, 2012 |
| Grant date | Aug 4, 2015 |
| Priority date | — |
| Expiry date | Apr 25, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In exemplary implementations of this invention, mobile application (app) installations by users of one or more networks are predicted. Using network data gathered by smartphones, multiple “candidate” graphs (including a call log graph) are calculated. The “candidate” graphs are weighted by an optimization vector and then summed to calculate a composite graph. The composite graph is used to predict the conditional probabilities that the respective users will install an app, depending in part on whether the user's neighbors have previously installed the app. Exogenous factors, such as the app's quality, may be taken into account by creating a virtual candidate graph. The conditional probabilities may be used to select a subset of the users. Signals may be sent to the subset of users, including to recommend an app. Also, the probability of successful “trend ignition” may be predicted from network data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.