The Micro-Blogging Network Leading Group Recognition Algorithm

2014 ◽  
Vol 519-520 ◽  
pp. 164-169
Author(s):  
Li Li Dong ◽  
Ke Yang ◽  
Xiang Zhang
Keyword(s):  
Network Model ◽  
Information Dissemination ◽  
Recognition Algorithm ◽  
Personalized Pagerank ◽  
Network Information ◽  
Pagerank Algorithm ◽  
User Influence ◽  
Transmission Of Information ◽  
Network Transmission ◽  
Ranking Order

Based on the analysis and research of micro-blogging network transmission of information, the transmission of information model is constructed. By studying the network model, a small group of core users of the network information dissemination play a guiding role. To solve the problem that the research of micro-blogging user influence ranking can only ranking order given its influence, but not determine which user play a guiding role in transmission of information, LeadersRank algorithm based on the idea of personalized PageRank algorithm is proposed, and the algorithm is applied to the real micro-blogging data to identify the leading group, the experimental results prove the feasibility and effectiveness of the algorithm.

A Microblogging Opinion Leader Recognition Algorithm Based on MapReduce

2014 ◽  
Vol 571-572 ◽  
pp. 410-415
Author(s):  
Li Li Dong ◽  
Yu Jie Zhu ◽  
Xiang Zhang
Keyword(s):  
Parallel Algorithm ◽  
Programming Model ◽  
Opinion Leader ◽  
Recognition Algorithm ◽  
Experimental Results ◽  
Massive Data ◽  
Cloud Platform ◽  
Personalized Pagerank ◽  
Pagerank Algorithm

Related researches on the influence of microblogging users are only given users’ influence ranking, while cannot determine the problem that which user plays a guiding role in the dissemination of information in the microblogging network. This paper proposed a microblogging opinion leader recognition algorithm called LeadersRank based on personalized PageRank algorithm. On the basis of LeadersRank algorithm research, since the problem of that current microblogging information has been massive data, using the idea of MapReduce programming model to improve the LeadersRank algorithm, so that designed a LeadersRank distributed parallel algorithm based on MapReduce algorithm running in the cloud platform hadoop environment. Finally, experiments verified the effectiveness of the two methods, and made analysis of experimental results.

Analysis of the Sports Network Information Dissemination Mechanism

2014 ◽  
Vol 687-691 ◽  
pp. 1995-1998
Author(s):  
Ping Huang
Keyword(s):  
Communication Network ◽  
Information Dissemination ◽  
Communication Theory ◽  
Network Information ◽  
The Public ◽  
The Social ◽  
Network Media ◽  
Transmission Of Information ◽  
The Face ◽  
Public Demand

Fast communication network of media to meet the public demand. However, in the process of spreading the unfavorable factors has application of communication theory, standing in the angle of sociology and sports information dissemination in the network analysis of the problem. Results showed that, the cultural conflict and the loss of morality problems appeared in sports in the transmission of information. In the face of network trust crisis, actively proposed solves the question way improve the social responsibility of network media.

Information propagation based on historical memory

2019 ◽  
Vol 30 (12) ◽  
pp. 2050005 ◽  
Author(s):  
Fuzhong Nian ◽  
Anhui Cong ◽  
Rendong Liu
Keyword(s):  
Network Model ◽  
Critical Path ◽  
Historical Memory ◽  
Propagation Model ◽  
Information Propagation ◽  
Core Network ◽  
Memory Strength ◽  
Network Information ◽  
Long Time ◽  
With Memory

This paper aims at the phenomenon of information selective propagation based on historical memory. A network model with memory strength and edge strength is established. The information propagation model with memory-clustering ability is designed with SIR model. And unsupervised learning is introduced to modify the performance. Based on the new network model, the core network and critical path that play a key role in the information propagation are found through the K-shell decomposition method. The research shows that the memory network contains an inertial channel for information propagation, it makes information propagation smooth. And information is selectively propagated in the new network, information is more inclined to propagate between nodes with powerful memory strength and close connections, in other words, people are more willing to propagate information to old friends who have been in contact for a long time instead of new friends.

scholarly journals A New Textbook for Pursuing a New Era—Comment on Wu Guodong’s

2020 ◽  
Vol 7 (3) ◽  
pp. p75
Author(s):  
Yueli Bao
Keyword(s):  
Music Education ◽  
Teaching Methods ◽  
Information Dissemination ◽  
New Teacher ◽  
New Era ◽  
Network Information ◽  
Teachers And Students ◽  
Academic Philosophy ◽  
National Music ◽  
The Times

In the new epoch, society is continuously advancing. With the accelerated development of network information dissemination, music education should satisfy the development of the times. Teaching methods should also be contemporary and innovative. With the introduction and development of quality concepts, music education is slowly improving. As a self-governing subject, it should be valued by teachers and students. Mr. Wu Guodong’s “Chinese National Music” concentrates on networked teaching and the “new teacher-training” of the new era. He strives to make more students experience the infinite charm of Chinese national music, build a distinct academic philosophy, and reshape the Chinese national spirit.

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