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A Method and System for Monitoring Data Transfer to Enhance Social Collaboration

IP.com Disclosure Number: IPCOM000242921D
Publication Date: 2015-Aug-30
Document File: 2 page(s) / 77K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for monitoring data transfer to enhance social collaboration. The method and system allows a user to transfer confidential data from a private community to a public community in a social networking website based on confidence scores.

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A Method and System for Monitoring Data Transfer to Enhance Social Collaboration

Consider a scenario wherein a user creates a document (e.g., confidential data) and saves the document in a private community of a social networking website. The user desires to share the document with a public community in the near future. Accordingly, a mechanism is required to alert the user if the confidential data is appropriate and safe to be shared with the public community.

Disclosed is a method and system for monitoring data transfer to enhance social collaboration. The method and system allows a user to transfer confidential data from a private community to a public community in a social networking website based on confidence scores. The user may be an author/owner of the confidential data.

The confidential scores are calculated based on criteria. The criteria may be limited to the confident scores calculated based on textual analysis results of the confidential data. The confident scores are also calculated based on the social relationship between user (e.g., author or owner) of the confidential data with the audience (e.g., members) of the community. The confident scores are further calculated based on threshold of past communication history and trust between the author and the audience

In an implementation, the method and system allows a user to create a document (e.g., confidential data) and saves the document in the private community of the social networking website. The method and system allows the user to share the document

with the public community based on confidence scores. The confidential scores are calculated based on either user confidence ranking level or community confidence ranking level.

The method and system calculates confidential scores based on textual analysis results by storing a list of generic keywords in a database. The list of keywords is used to scan the data in a document to check if the data in the document is confidential. If the list of keywords occurs less in the document, then the confidence score is ranked higher.

The user is allowed to configure the keywords that need to be monitored. The keywords may also be dynamically generated based on the information in the document and description of the community. For example, if the community is about the sales data from an organization A, then information about other organizations may not be suitable for the community.

The method and system also tracks the social relationship between the user and the members of the community and stores the confidential scores....