Abstract
In order to measure the different values of a great number of knowledge spreading in virtual communities, we build a knowledge diffusion measurement model based on information entropy. The model quantifies the knowledge entropy of different nodes in the spreading process in terms of users' behaviors. Consequently, transmitted knowledge can be sorted by the knowledge entropy, making the measurement of knowledge values and knowledge diffusion more accurately.
Original language | English |
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Title of host publication | 2015 12th International Conference on Service Systems and Service Management, ICSSSM 2015 |
Publisher | IEEE |
ISBN (Electronic) | 9781479983285 |
DOIs | |
Publication status | Published - 30 Jul 2015 |
Event | 12th International Conference on Service Systems and Service Management, ICSSSM 2015 - Guangzhou, China Duration: 22 Jun 2015 → 24 Jun 2015 |
Conference
Conference | 12th International Conference on Service Systems and Service Management, ICSSSM 2015 |
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Country/Territory | China |
City | Guangzhou |
Period | 22/06/15 → 24/06/15 |
Keywords
- information entropy
- knowledge
- knowledge measurement
- virtual community