Simulation to find user behavior impact in social media network
First Claim
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1. A computer-implemented method for determining an impact of a behavior of at least one user in a social media network, the method comprising:
- obtaining, by a processor, at least one characteristic describing the behavior of the user in a simulation of the social media network;
determining by the processor, via use of a time series based modeler which uses a linear regression method, a first function of the at least one characteristic, wherein the first function describes a first model of a behavior of the simulated social media network with respect to time;
changing, by the processor, the at least one characteristic to obtain at least one changed characteristic;
determining by the processor, via use of a time series based modeler which uses a linear regression method, a second function of the at least one changed characteristic, wherein the second function describes a second model of the behavior of the simulated social media network with respect to time;
comparing, by the processor, the first function and the second function over time by using a linear or non-linear least squares method to determine at least one difference in at least one impact duration of time, the at least one impact duration of time being an amount of time during which a volume of messages associated with the second function differs, after a point of substantial equality, from a volume of messages associated with the first function;
determining, by the processor, a simulated amount of an effect of the difference in at least one impact duration of time at each of a plurality of nodes within one or more levels of the social media network; and
outputting, by the processor, data indicative of the determined simulated amount of the effect of the difference in at least one impact duration of time at each of the plurality of nodes within one or more levels of the social media network.
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Abstract
Provided is a mechanism which may use a real Online Social Network (OSN) to simulate user behavior based on what the user(s) post in order to analyze how the information is spread across a network. In various embodiments, the disclosed mechanisms may be implemented via systems, methods and/or computer program products.
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Citations
20 Claims
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1. A computer-implemented method for determining an impact of a behavior of at least one user in a social media network, the method comprising:
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obtaining, by a processor, at least one characteristic describing the behavior of the user in a simulation of the social media network; determining by the processor, via use of a time series based modeler which uses a linear regression method, a first function of the at least one characteristic, wherein the first function describes a first model of a behavior of the simulated social media network with respect to time; changing, by the processor, the at least one characteristic to obtain at least one changed characteristic; determining by the processor, via use of a time series based modeler which uses a linear regression method, a second function of the at least one changed characteristic, wherein the second function describes a second model of the behavior of the simulated social media network with respect to time; comparing, by the processor, the first function and the second function over time by using a linear or non-linear least squares method to determine at least one difference in at least one impact duration of time, the at least one impact duration of time being an amount of time during which a volume of messages associated with the second function differs, after a point of substantial equality, from a volume of messages associated with the first function; determining, by the processor, a simulated amount of an effect of the difference in at least one impact duration of time at each of a plurality of nodes within one or more levels of the social media network; and outputting, by the processor, data indicative of the determined simulated amount of the effect of the difference in at least one impact duration of time at each of the plurality of nodes within one or more levels of the social media network. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A non-transitory computer readable storage medium, tangibly embodying a program of instructions executable by the computer for determining an impact of a behavior of at least one user in a social media network, the program of instructions, when executing, performing the following steps:
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obtaining at least one characteristic describing the behavior of the user in a simulation of the social media network; determining, via use of a time series based modeler which uses a linear regression method, a first function of the at least one characteristic, wherein the first function describes a first model of a behavior of the simulated social media network with respect to time; changing the at least one characteristic to obtain at least one changed characteristic; determining, via use of a time series based modeler which uses a linear regression method, a second function of the at least one changed characteristic, wherein the second function describes a second model of the behavior of the simulated social media network with respect to time; comparing the first function and the second function over time by using a linear or non-linear least squares method to determine at least one difference in at least one impact duration of time, the at least one impact duration of time being an amount of time during which a volume of messages associated with the second function differs, after a point of substantial equality, from a volume of messages associated with the first function; determining a simulated amount of an effect of the difference in at least one impact duration of time at each of a plurality of nodes within one or more levels of the social media network; and outputting data indicative of the determined simulated amount of the effect of the difference in at least one impact duration of time at each of the plurality of nodes within one or more levels of the social media network. - View Dependent Claims (14, 15, 16)
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17. A computer-implemented system for determining an impact of a behavior of at least one user in a social media network, the system comprising:
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a processor; and a memory storing computer readable instructions that, when executed by the processor, implement steps of; obtaining at least one characteristic describing the behavior of the user in a simulation of the social media network; determining, via use of a time series based modeler which uses a linear regression method, a first function of the at least one characteristic, wherein the first function describes a first model of a behavior of the simulated social media network with respect to time; changing the at least one characteristic to obtain at least one changed characteristic; determining, via use of a time series based modeler which uses a linear regression method, a second function of the at least one changed characteristic, wherein the second function describes a second model of the behavior of the simulated social media network with respect to time; comparing the first function and the second function over time by using a linear or non-linear least squares method to determine at least one difference in at least one impact duration of time, the at least one impact duration of time being an amount of time during which a volume of messages associated with the second function differs, after a point of substantial equality, from a volume of messages associated with the first function; determining a simulated amount of an effect of the difference in at least one impact duration of time at each of a plurality of nodes within one or more levels of the social media network; and outputting data indicative of the determined simulated amount of the effect of the difference in at least one impact duration of time at each of the plurality of nodes within one or more levels of the social media network. - View Dependent Claims (18, 19, 20)
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Specification