Collaboration Context Detection for Social Event Monitoring

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Solution Overview

Problem

As organizations grow, users face difficulties in overseeing and identifying relevant collaborative events among numerous communication channels, making it hard to determine which collaborations are of interest due to the sheer volume and diversity of communication methods.

Innovation Solution

A computer-implemented method and system that detects collaborations, identifies common social contexts, and provides a visual representation of participants and applications involved, dynamically updating to indicate real-time communication and using probability calculations to alert users of interest-based collaborations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If users manually monitor all collaborative events across multiple communication channels, then they can identify relevant collaborations, but the time and effort required increases significantly as organizations grow

Engineering Contradiction:

Improveidentification accuracy of relevant collaborationsVSAvoidtime required to monitor collaborative events

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent introduces an intermediary system that automatically analyzes collaboration data, determines common social contexts, and generates alerts. This intermediary processing layer between raw collaboration events and user awareness resolves the contradiction by performing the time-consuming analysis automatically while maintaining accurate identification of relevant collaborations through probability-based context determination.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables self-service by automatically monitoring and analyzing collaborative events without requiring user intervention. The collaboration monitoring component continuously tracks events across multiple channels, and the common social context determination automatically identifies relevant contexts, freeing users from manual monitoring while maintaining high identification accuracy through algorithmic analysis.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If users oversee all collaborative events across numerous communication channels, then they can identify relevant collaborations, but the complexity of managing multiple channels increases

Engineering Contradiction:

Improveidentification accuracy of relevant collaborationsVSAvoidcomplexity of monitoring system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the complex monitoring task into distinct functional components: collaboration event detection, common social context determination, probability calculation, and alert generation. This segmentation reduces system complexity by organizing the monitoring function into manageable modules while maintaining comprehensive coverage across multiple communication channels through structured data analysis.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The common social context determination system acts as an intermediary that simplifies the complexity of multiple communication channels by abstracting them into unified context categories. Instead of requiring users to understand and monitor each channel separately, the system mediates the complexity by determining common social contexts that represent multiple channels, thereby reducing perceived complexity while maintaining accurate identification.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Loss of information

If the system provides detailed information about all collaborations, then users can make informed decisions, but the information overload makes it difficult to identify relevant collaborations

Engineering Contradiction:

Improvecompleteness of collaboration informationVSAvoidease of identifying relevant collaborations

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The patent extracts only the most relevant information from comprehensive collaboration data by determining common social contexts and calculating probabilities. Instead of presenting all available collaboration information, the system extracts and highlights the essential context that indicates relevance, thereby maintaining complete information availability while improving ease of operation through selective presentation of key contextual indicators.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies local quality by providing different levels of information detail based on relevance. High-probability collaborations receive prominent display with detailed context information, while lower-probability collaborations receive less prominent treatment. This local differentiation of information quality maintains completeness for decision-making while improving ease of operation by highlighting only the most relevant collaborations at any given time.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS8073793B2Determining a common social context

Publication Date: 2011.12.06 BEIJING ZITIAO NETWORK TECH CO LTD

AI summary

A computer-implemented method of determining a common social context can include detecting a collaboration between a plurality of participants. The method can include identifying a plurality of common social contexts and determining a probability that the collaboration belongs to each of the plurality of common social contexts. At least one probability and corresponding common social context can be output.