Information spread in social networks through scheduling seeding methods
AssigneeRamot at Tel-Aviv University Ltd.
InventorsALON SELA, IRAD BEN GAL, EREZ SHMUELI, DMITRI GOLDENBERG
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AssigneeRamot at Tel-Aviv University Ltd.
InventorsALON SELA, IRAD BEN GAL, EREZ SHMUELI, DMITRI GOLDENBERG
Estimating the term…
A method for information spread in one or more social networks, the method may include receiving or generating social network information that represents members of the one or more social networks and links between the members; repeating, for each point in time out of multiple points in time, the steps of: determining, in response to budget constraints and current statuses of the members, and the current influence vectors of the members social circle, at least one target member that is non-infected during the point of time and should be infected before the next point in time, to provide an increase in the final number of infected members; wherein the statuses of the members comprises (i) infected and infectious, (ii) non-infected and (iii) infected and non-infectious; and sending, at a cost, the information to the at least one target member, before the next point in time.
A method for information spread in one or more social networks, the method comprises:
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A method for information spread in one or more social networks, the method comprises:
The method according to claim 128 comprising receiving feedback about an actual status of the members before at least one next point in time and wherein the updating of the statuses is responsive to the feedback
The method according to claim 128 comprising receiving feedback about an estimated status of the members before at least one next point in time and wherein the updating of the statuses is responsive to the feedback
The method according to claim 128, wherein the sending of the information results in one or more infection attempts.
A non-transitory computer readable medium that stores instructions that once executed by a computer cause the computer to execute the steps of:
Dependencies are inferred from the claim text.