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논문검색

Detecting Storm Eyes of Advertisement Based on Sina Weibo

초록

영어

With the development of micro-blog advertising industry, micro-blog ads present a new perspective to people. It is observed that the communication effect would be maximized only when the ads spread on optimization path consisted of some crucial nodes. Conse-quently we define these critical nodes as storm eyes of ads. Referring to the theory of the shortest path and scale-free characteristics of complex networks, we build a model to de-tect the storm eyes of ads based on the elements closely related to micro-blog ads, com-bined with the thought of dividing and conquering-merge. A detecting algorithm is pro-posed based on the model, the time complexity of which is just O (n). The dataset of our experiment obtained from SinaWeibo API has reached the number of 1 billion. And the results show that detection time is much less than artificial statistical approach on the premise of the algorithm with high detection accuracy.

목차

Abstract
 1. Introduction
 2. Ads communication
 3. Detecting Models
 4. Algorithm Description
 5. Result and Analysis of the Simulation Experiments
  5.1 Data Collection and Experiment Preparation
  5.2 Analysis of the Experimental Result
 6. Conclusions
 AcknowledgementsThe
 References

저자정보

  • Jinhua Xiong School of Computer Science, Wuhan University, Wuhan 430072, China, Information Technology Limited Company of Jiu tianyue, Wuhan, China
  • Fung Wong School of Computer Science, Wuhan University, Wuhan 430072, China
  • Shijun Lee School of Computer Science, Wuhan University, Wuhan 430072, China
  • Xing Yuan School of Computer Science, Wuhan University, Wuhan 430072, China

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