Peer-to-peer social networking optimization engine

• US 20080120397A1
• Filed: 10/15/2007
• Published: 05/22/2008
• Est. Priority Date: 10/30/2006
• Status: Abandoned Application

• Current Assignee: Jalali Hartman
• Original Assignee: Jalali Hartman
• Inventors: Hartman, Jalali
• Application Number:
  US11/974,617
• Publication Number:
  US 20080120397A1
• Time in Patent Office: Days
• US Class Current: 709/218
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 12/1859 adapted to provide push services, e.g. data channels
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/06 specially adapted for file transfer, e.g. file transfer protocol [FTP]

Abstract

The Social Marketing Optimization Engine is a web-based technology that allows for the automatic distribution of video, audio, graphical or text-based content to multiple websites, with built-in optimization of the content so that it automatically has a higher probability of being viewed within a socially-driven website. It is based on the Social Networking Index, a mathematical formula which describes the relationship between the content being distributed, the number of connection points within the network, the initial size of the community, the ratio by which individuals share content with each other and finally an estimate of the overall growth behavior of the network—or ultimately it'"'"'s value. When utilized properly, a content publisher can increase overall content consumption through a variety of social networks and online websites, as well as save them time and resources, as well as build a large ‘fan base’ or community, through which to push additional content to, including marketing messages.

Claims

1. The practice of manipulating the variables of the Social Network Index as to increase the exposure for a given set of content, and thus increasing the overall value of the Social Network (S), specifically creating content (C) specifically relevant to a given community as an attempt to gain more exposure for one'"'"'s content, and thus build a stronger network, adding new nodes (N), or connection points purposefully, as a way to increase the strength of a network and finally putting in place mechanisms through which the content stands to be spread more easily by the community, thereby increasing viral growth (V).

2. The actual technology architecture that facilitates these activities, and which automatically distributes pre-optimized content to multiple social networks automatically, as described herein.