A Dynamic Information Dissemination Model Based on Implicit Link and Social Influence

2020 ◽  
pp. 1-10
Author(s):  
Xinhong Wu ◽  
Yunpeng Xiao ◽  
Xia Liang ◽  
Qian Li
Keyword(s):  
Social Influence ◽  
Information Dissemination ◽  
Dynamic Information ◽  
Model Based

scholarly journals Information dissemination model based on multi-dimensional node influence in social networks

2020 ◽  
Author(s):  
Haiming Wu ◽  
Ruigang Wang ◽  
Lixia Jia ◽  
Likui Feng ◽  
Xu Zhou
Keyword(s):  
Social Networks ◽  
Epidemic Model ◽  
Information Dissemination ◽  
State Transition ◽  
User Interaction ◽  
Multiple Linear Regression Model ◽  
Three Dimensions ◽  
Social Recommendation ◽  
Factors Affecting ◽  
Model Based

Abstract Social network has gradually become the mainstream way for people to obtain and interact with information. The study on the law of information dissemination in social networks is of great significance to enterprise marketing, public opinion control and social recommendation. This paper puts forward a method that use multi-dimensional node influence and epidemic model to illustrate the causes and rules of information dissemination in social networks. Firstly, based on the multiple linear regression model, a measurement method of node influence is proposed from three dimensions: topology, user interaction behavior and information content. Then, taking the node influence as the cause of state transition, the information dissemination model based on the epidemic model is constructed, and the multidimensional factors affecting the information dissemination are analyzed. Meanwhile, the information dissemination trend in social networks is described.

Using Social Media for Dynamic Information Dissemination in the 21st Century

2021 ◽  
pp. 231-250
Author(s):  
Fredrick Olatunji Ajegbomogun
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Information Sharing ◽  
21St Century ◽  
Information Dissemination ◽  
Dynamic Information ◽  
Information And Communication ◽  
Use Of Social Media ◽  
Independent Decision

The implementation and usage of information and communication technology (ICT) in library functions and facilities has revolutionized the way people use information and librarians perform their work. As a result of the advent of social media, the world's knowledge outlook has changed significantly, resulting in the sharing of thoughts, emotions, images, and videos as resources. A library is worth considering; it is a key to learning, a foundation for long-term mastery of information, and it promotes independent decision-making. The use of social media in library activities has enticed a significant number of users, but it has also challenged libraries to modernize their service delivery. Facebook, Twitter, Wikis, WhatsApp, MySpace, and LinkedIn facilitate community courses, collaboration, and information sharing. As a consequence, it is vital for libraries to consider and prioritize their users' needs.

Design of Personalized Intelligent Information Retrieval Model Based on Agent

2012 ◽  
Vol 155-156 ◽  
pp. 1175-1179
Author(s):  
Zhong Biao Sheng ◽  
Hua Ping Jia ◽  
Xiao Rong Tong
Keyword(s):  
Information Retrieval ◽  
Domain Knowledge ◽  
Retrieval System ◽  
Retrieval Model ◽  
Retrieval Task ◽  
Dynamic Information ◽  
Model Based ◽  
Intelligent Information Retrieval ◽  
Intelligent Information ◽  
Personal Interests

The features of vast distributed dynamic information on Web caused the problem of “overload” and “mislead” while query. Intelligent agent is a way to solve it. After considering the problems of users’ personal interests during the information retrieve adequately, the paper proposes an intelligent information retrieval model based-on Agent. This system integrated domain knowledge and used many arithmetic of learning user’s interest. Each Agent co-operates to finish information retrieval task, manifest the characteristics of intellectualization and individuality of in information retrieval. It is a good way to realize the highly effective intelligent retrieval system research.

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