Bulletin Board Message Mapping for Thread and Poster Analysis
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Solution Overview
Problem
Current bulletin board systems (BBS) lack effective solutions for culling, sorting, and analyzing postings, as well as identifying relationships between posters and message threads, which complicates the preservation and production of electronic communications in legal and corporate contexts.
Innovation Solution
A system for sorting and displaying BBS messages in two and three dimensions, allowing for visualization of message threads and relationships between posters, with tools for navigation and analysis, applicable to both linear and threaded BBS structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional linear or threaded BBS display methods are used, then the system structure is simple, but the ability to analyze and track postings and relationships among posters is insufficient
Solution Approach 1:
The patent transforms the traditional linear or simple threaded BBS display into a multi-dimensional visualization system. It creates graphical representations that display postings, posters, and threads across multiple dimensions simultaneously, allowing users to analyze relationships and patterns that are invisible in traditional linear displays. This dimensional expansion enables efficient analysis of large volumes of BBS data without requiring proportional increases in system complexity.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between the raw BBS data and the user interface. This intermediary system automatically sorts, filters, and organizes postings and poster relationships before presentation, reducing the complexity burden on the user while enhancing analytical capabilities. The intermediary layer handles the complex tasks of relationship mapping and visualization generation.
2Reliability
If all electronic communications are produced, then completeness of evidence is ensured, but confidentiality may be breached and resources are wasted
Solution Approach 1:
The patent extracts and isolates only the relevant postings and relationships from the vast BBS data set. By using the multi-dimensional visualization and filtering capabilities, the system identifies and extracts specifically those communications that are pertinent to the legal matter at hand, leaving confidential or irrelevant information separate and unproduced. This extraction approach ensures evidence completeness for relevant items while protecting confidentiality of non-relevant materials.
Solution Approach 2:
Instead of producing all electronic communications (excessive action), the patent implements a targeted approach that produces only the necessary subset of communications required for the legal matter (partial action). The system determines the minimal sufficient set of postings and relationships needed to address the specific legal issues, avoiding the waste of resources and potential confidentiality breaches associated with producing unnecessary communications.
3Ease of operation
If pseudonymous registration is allowed, then user privacy is protected, but the ability to identify relationships between posters is reduced
Solution Approach 1:
The patent introduces an intermediary analysis system that works with pseudonymous identifiers rather than requiring real identity disclosure. The multi-dimensional visualization maps relationships between posters based on their interaction patterns, timing, and content correlations, allowing relationship identification to occur at the level of pseudonyms. This intermediary approach maintains user privacy while enabling relationship analysis through pattern recognition rather than identity revelation.
Solution Approach 2:
The patent uses visual encoding techniques where different colors, shades, or visual markers represent different pseudonymous posters and their relationships. By encoding relationship information visually rather than through explicit identity disclosure, the system enables relationship identification while maintaining the anonymity of posters. The visual representation allows users to trace interaction patterns and relationships without exposing the actual identities behind the pseudonyms.
Data Source
AI summary
A computer-implemented method performed at a server system having one or more processors and memory, the method comprising receiving a set of curated documents comprising one or more documents identified as being relevant to a sector, analyzing the set of curated documents to determine one or more words and a count of each of the one or more words for all documents of the curated set of documents, further analyzing the set of curated documents, by analyzing one or more n-grams based on the one or more words, determining a first score based on a term frequency and a global document frequency of each of the one or more words of each of the one or more n-grams, determining a document vector based on averages of the first score, where the document vector comprises a perfect document for the sector, and storing the document vector in the data store.