A Human Flesh Search Algorithm Based on Information Puzzle
Nian, Fuzhong; Zhang, Yaqiong; Liu, Xinmeng
2018
会议名称2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI)
会议录名称2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI)
页码1243-1248
出版地345 E 47TH ST, NEW YORK, NY 10017 USA
出版者IEEE
摘要In view of the characteristics of information dissemination in human flesh search, combined with the transmission mechanism of infectious diseases, this paper proposed the information puzzle. Human flesh search is the process of searching for many pieces of information and put them together. And this process has be seen as the information puzzle. In addition, this paper proposed a new node model with multi-infective state and propagation model from the perspective of complex networks. This model considered the simultaneous propagation of multiple messages and the fact that each node can receive multiple messages. Finally, we simulated the human flesh search process, and analyzed the main factors that influenced the information propagation, such as the network topology, the degree of node, the number of nodes and the probability of propagation in the search process. The theoretical derivation and simulation results show that the process of information puzzle can display the characteristics of human flesh search, and analyze the factors that influence the information puzzle.
关键词Human flesh search Complex network Information puzzle Propagation model Information diffusion
DOI10.1109/SmartWorld.2018.00216
资助项目National Natural Science Foundation of China[61263019] ; Program for International S&T Cooperation Projects of Gansu province[144WCGA166]
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000458742900180
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/36164
专题计算机与通信学院
通讯作者Nian, Fuzhong
作者单位Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Gansu, Peoples R China
第一作者单位兰州理工大学
通讯作者单位兰州理工大学
推荐引用方式
GB/T 7714
Nian, Fuzhong,Zhang, Yaqiong,Liu, Xinmeng. A Human Flesh Search Algorithm Based on Information Puzzle[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:1243-1248.
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