Method and system for analyzing messages
Simple SummaryContent extracted from patent full text and abstract with AI.
This patent describes a method and system for analyzing messages transmitted within communication networks (such as social media, email, or instant messaging). The core innovation is to calculate an 'information-related citation index' that tracks how often certain information from a message is forwarded or cited in consecutive messages by other users. This enables quantitative analysis of user influence, message relevance, trending topics, and relationships between users based on shared topics.
Use CasesContent extracted from patent full text and abstract with AI.
- Ranking the influence of users on social media platforms like Twitter or Facebook.
- Detecting and analyzing trending topics or viral content in real time.
- Improving search algorithms for communication platforms by ranking messages by relevance based on how often they're cited or forwarded.
- Mapping out hierarchies or influence networks within organizations' internal communications (e.g., corporate emails, military command chains).
- Identifying communities or user clusters that discuss similar topics for targeted marketing or content recommendation.
- Recommending relevant contacts or conversation threads to users based on topic similarity.
BenefitsContent extracted from patent full text and abstract with AI.
- Provides a quantitative, up-to-date measure of user influence and message impact within a network.
- Enables detection of trending topics and viral information flow, useful for marketing, moderation, or trend forecasting.
- Improves relevance ranking for message or topic searches beyond simple keyword matching (by considering forwarding/citation activity).
- Can analyze not only original, unaltered forwards but also modified, commented, or partially-quoted messages using text analysis.
- Allows for dynamic, real-time analysis as well as historical data analysis.
- Supports finding user communities with shared interests, which can enhance recommendations and content discovery.
- Enhances insight into information dissemination and influence networks in both public and private sectors.
Technical Classifications (CPCs)
Main Classifications
Physics & Measurement
Sub Classifications
Computing & Calculating
CPC Codes
Inventors & Applicants
Applicants
Univ Berlin Tech
Patent Abstract
The invention relates to a method and system for analyzing messages transmitted in a communication network. An embodiment of the method comprises the steps of: determining an information-related citation index indicating how often information comprised in a message has been forwarded in consecutive messages to other users of the communication network, and providing an analysis result based on the information-related citation index.
Key Information
Publication No.
US2011246578A1
Family ID
44183562
Publication Date
2011-10-06
Application No.
US66214510A
Application Date
2010-03-31
Priority Date
2010-03-31
Granted
No
Possible Cooperation
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