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.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method, comprising: monitoring one or more messages on a social network for information propagation feedback, the monitoring comprising collecting propagation metadata and non-propagation metadata; training a predictive model using the propagation metadata and the non-propagation metadata as a training set; determining a probability of propagation of a message on the social network using the predictive model; retrieving one or more probabilities for one or more of an alternate content or an alternate time; and determining message adjustment information, for the message and associated with an increased probability of propagation of the message, based upon the probability of propagation and the one or more probabilities, the message adjustment information comprising one or more of a content adjustment for the message or a timing adjustment for the message. 2. The method of claim 1, comprising collecting an indication of a propagation of a first message of a first user by a second user as at least part of the propagation metadata. 3. The method of claim 1, comprising collecting an indication of a lack of propagation of a first message of a first user by a second user as at least part of the non-propagation metadata. 4. The method of claim 1, comprising collecting an indication of a lack of propagation of a first message of a first user by any connections of the first user as at least part of the non-propagation metadata. 5. The method of claim 1, the non-propagation metadata associated with negative information propagation feedback. 6. The method of claim 1, the propagation metadata associated with positive information propagation feedback. 7. The method of claim 2, the propagation of the first message comprising a forwarding or a reposting of at least a portion of the first message. 8. A system, comprising: one or more processing units; and memory comprising instructions that when executed by at least one of the one or more processing units, perform a method comprising: monitoring one or more messages on a social network for information propagation feedback, the monitoring comprising collecting propagation metadata and non-propagation metadata; training a predictive model using the propagation metadata and the non-propagation metadata as a training set; determining a probability of propagation of a message on the social network using the predictive model; and determining message adjustment information for the message based upon the probability of propagation. 9. The system of claim 8, the message adjustment information comprising one or more of a content adjustment for the message or a timing adjustment for the message. 10. The system of claim 8, the method comprising collecting an indication of a propagation of a first message of a first user by a second user as at least part of the propagation metadata. 11. The system of claim 8, the method comprising collecting an indication of a lack of propagation of a first message of a first user by a second user as at least part of the non-propagation metadata. 12. The system of claim 8, the method comprising collecting an indication of a lack of propagation of a first message of a first user by any connections of the first user as at least part of the non-propagation metadata. 13. The system of claim 10, the propagation of the first message comprising a forwarding or a reposting of at least a portion of the first message. 14. The system of claim 8, the non-propagation metadata associated with negative information propagation feedback, the propagation metadata associated with positive information propagation feedback. 15. A computer readable memory comprising instructions that when executed perform a method, comprising: monitoring one or more messages for information propagation feedback, the monitoring comprising collecting one or more of propagation metadata or non-propagation metadata; training a predictive model using one or more of the propagation metadata or the non-propagation metadata as a training set; and determining a probability of propagation of a message using the predictive model. 16. The computer readable memory of claim 15, comprising determining message adjustment information for the message based upon the probability of propagation. 17. The computer readable memory of claim 15, the one or more messages and the message on a social network. 18. The computer readable memory of claim 15, the propagation metadata associated with positive information propagation feedback. 19. The computer readable memory of claim 15, the non-propagation metadata associated with negative information propagation feedback. 20. The computer readable memory of claim 16, the message adjustment information comprising one or more of a content adjustment for the message or a timing adjustment for the message.