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Data Replica on Social Network Media by Profile and Relationships

IP.com Disclosure Number: IPCOM000220876D
Publication Date: 2012-Aug-10
Document File: 2 page(s) / 20K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system and method to replicate and predict access probability of published web content based on a user’s geographic location as specified in their profile or their social network relationships. The invention replicates published content to a server in proximity to where there are enough people (i.e., indicated by a threshold) who might be interested in the published content.

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Data Replica on Social Network Media by Profile and Relationships

Social networks are ever growing and the distribution of its usage is international. The distribution of users and their profiles are vastly spread throughout the world.

For instance, a person may have grown up in the U.S. but recently moved to another country. However, that person may still be interested in reading online news articles from their local newspaper in the U.S. Since the distance is so great, that person may have slow access times to reach that website and view the content. Likewise, a person may be living in one country but their spouse is from another country which they frequently visit. They may also be interested in reading articles from the other country.

Social networks can provide an insight into the interests and relationships of users in order to predict the geographic locations where certain published web content would be of interest.

The current mechanism of distributing or replicating content is based on the location of the user who is publishing, not to the locations of people who are interested in a certain topic.

The invention is a system and method to replicate the content based on the location specified in a user's profile or their relationship to others to predict access probability. It describes a way of replicating published content to a server in proximity to where there are enough people (i.e., indicated by a threshold) who might be interested in the published content.

Implementation


1. Users in social network media have profiles and relationships to others


A. Such profiles may contain (but are not limited to):


i. hometown


ii.history of locations own has grown up


iii. schools attended


iv. locations of travelled


B. Such relationships may contain (but are not limited to):


i. classmates from schools


ii.co-workers


iii. friends


2. Closeness of the relationship can be defined by analyzing:

A. Specified relationship (i.e. It's explicitly stated that someone is my spouse, mother, father)


B. Frequency of interaction between users


i. direct messaging on the social network


ii.frequently appearing in same content such as photos


iii. f...