|Table of Contents|

Network Hotspot Topic Detection Algorithm Based on Multi-center Model

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2009年04期
Page:
422-426
Research Field:
Publishing date:

Info

Title:
Network Hotspot Topic Detection Algorithm Based on Multi-center Model
Author(s):
WANG WeiYANG WuQI Hai-feng
Information Security Research Center,Harbin Engineering University,Harbin 150001,China
Keywords:
topic detection hotspot topics multi-center single-pass clustering
PACS:
TP301.6
DOI:
-
Abstract:
In order to effectively eliminate the effect that the diversification of network topic related focuses have on the accuracy of network hotspot topic detection,a network topic multiple-center model is proposed.The association between story contents is layered,and the description ability for network topic is improved.A network hotspot topic detection algorithm based on the multi-center model is proposed,the topic centers are used to distinguish whether a new story belongs to an existing topic.The proposed algorithms based on single-pass clustering,the computation overhead is optimized by introducing topic center.The experimental results show that network topics can be detected entirely and accurately,and at the same time the performance is comparatively perfect.The proposed algorithm can be applied in hotspot topic detection in large-scale networks with dynamic data stream environments.

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Last Update: 2012-11-19