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Simulation Of Propagation For Social Channel Utilizing Predictive Analytics

IP.com Disclosure Number: IPCOM000234055D
Publication Date: 2014-Jan-09
Document File: 2 page(s) / 27K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a system and method to utilize predictive analytics to help content providers determine not only how to prioritize content based on the rate of consumption and propagation, but also identify which communication channels are, or could be, most effective.

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Simulation Of Propagation For Social Channel Utilizing Predictive Analytics

Disclosed is a system and method to allow business users (e.g., marketing professionals, program managers, etc.) to propagate information across multiple channels (e.g., social and professional networks) without saturating the same people with the same message when recipients belong to more than one channel. In addition,

the disclosed method enables the sender to know which channel is expected to be the most successful; i.e., the message would be best received. The sender needs to know how to prioritize and disseminate the information to produce the best results.

A system and method are herein disclosed for utilizing analytics to dynamically determine which content to prioritize for promotion on different channels based on how quickly similar content is being propagated through the existing social networking environment's social media channels. Additionally, the method and system compares propagation rates of similar content on other channels outside the existing social networking environment to determine which new channels should be considered for expanding the existing social networking environment by simulating the speed of propagation (e.g., shares, likes, click-throughs, etc.) from similar content on those channels.

With respect to prioritizing content for promotion on various social media channels - limited information is currently available to social media managers regarding the following:


• How quickly said content is being propagated through the existing social networking environment's social media channels


• How quickly other channels outside the existing social networking environment propagate similar content


• Which content to prioritize for promotion on existing channels


• Which new channels one should consider adding to the existing social networking environment

Embodiments of the present invention address the above questions by comparing how long it takes a piece of promoted content to propagate on a given channel across an existing social network and then, based on analysis of past posts on said channels, prioritizes promotional content based on the fastest rate of propagation. Another

embodiment of this invention is to simulate propagation speed for similar content for channels not currently in the social networking environment to determine if that channel should be brought into the existing set of occupied channels.

Embodiments of the present invention use predictive analysis to simulate propagation speed for related content through channels that are not currently used. In addition, the system evaluates the channels that are currently in use to determine which are best for promoting/engaging various topics and/or promoting different types of content.

In an example embodiment, the system compares similar content for prioritization in an

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existing social network. When a piece of content is ready for publi...