Measuring network rationality and simulating information diffusion based on network structure

2021 ◽  
Vol 564 ◽  
pp. 125501
Author(s):  
Hao Gong ◽  
Chunxiang Guo ◽  
Yu Liu
Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Haifei Liu ◽  
Tingqiang Chen ◽  
Zuhan Hu

This empirical research applies cointegration in the traditional measurement method first to build directed weighted networks in the context of stock market. Then, this method is used to design the indicators and the value simulation for measuring network fluctuation and studying the dynamic evolution mechanism of stock market transaction networks as affected by price fluctuations. Finally, the topological structure and robustness of the network are evaluated. The results show that network structure stability is strong in the bull market stage and weak in the bear market stage. And the convergence rate of the dynamic evolution of network fluctuation is higher in the bull market stage than in the bear market stage.


2020 ◽  
Vol 12 (5) ◽  
pp. 1731 ◽  
Author(s):  
Ting Liu ◽  
Jianhong Xia ◽  
Lesley Crowe-Delaney

Social networking sites (SNSs) are known to have a role in promoting tourism and influencing how it is marketed to consumers, but there seems to be few deep analyses of SNS’s efficacy in tourists’ decision making and destination promotion. To address this, we present Tourism Information Diffusion Ecosystem (TIDE), a novel theoretical framework to help understand this system of tourism SNS information diffusion. TIDE defines who participates in the system, what roles participants play in distributing tourist information contained within user-generated content, how content within a network is distributed, and if this user-generated information, once diffused, has been transferred into tourists’ visiting actions, and the reasons why these actions have been generated. We discovered user typologies and the powerful characteristics of this network structure to be important factors affecting visiting actions in choosing particular tourist destinations.


2016 ◽  
Vol 15 (1) ◽  
pp. 41-61
Author(s):  
Suwimon VONGSINGTHONG ◽  
Sirapat BOONKRONG ◽  
Herwig UNGER

Discovering how information was distributed was essential for tracking, optimizing, and controlling networks. In this paper, a premier approach to analyze the reciprocity of user behavior, content, network structure, and interaction rules to the interplay between information diffusion and network evolution was proposed. Parameterization and insight diffusion patterns were characterized based on the community structure of the underlying network using diffusion related behavior data, collected by a developed questionnaire. The user roles in creating the flow of information were stochastically modeled and simulated by Colored Petri Nets, where the growth and evolution of the network structure was substantiated through the formation of the clustering coefficient, the average path length, and the degree distribution. This analytical model could be used for various tasks, including predicting future user activities, monitoring traffic patterns of networks, and forecasting the distribution of content.


2013 ◽  
Vol 24 (07) ◽  
pp. 1350047 ◽  
Author(s):  
PEI LI ◽  
KAI XING ◽  
DAPENG WANG ◽  
XIN ZHANG ◽  
HUI WANG

Research on social networks has received remarkable attention, since many people use social networks to broadcast information and stay connected with their friends. However, due to the information overload in social networks, it becomes increasingly difficult for users to find useful information. This paper takes Facebook-like social networks into account, and models the process of information diffusion under information overload. The term view scope is introduced to model the user information-processing capability under information overload, and the average number of times a message appears in view scopes after it is generated is proposed to characterize the information diffusion efficiency. Through theoretical analysis, we find that factors such as network structure and view scope number have no impact on the information diffusion efficiency, which is a surprising result. To verify the results, we conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly.


2019 ◽  
Vol 11 (12) ◽  
pp. 3249 ◽  
Author(s):  
Youn Kue Na ◽  
Sungmin Kang ◽  
Hye Yeon Jeong

It is important to understand the creative processes of social value networks in terms of the interdependent connections between fashion sharing economy businesses and consumers. In particular, when the similarity in the values of each member is shared in the sub-network, the closeness of the relationships can be further strengthened. In such value chains, the overall process is important because the content, which is originally provided through the distribution process, is reinterpreted from the consumer’s point of view and it is reproduced as new creative output with high added value. In this study, the characteristics of sub-network structure, the characteristics of social relations, and network externality are proposed and analyzed as influential variables of information diffusion behaviors that explain the diffusion of shared information in fashion sharing economy platforms. We examined the shared information diffusion performance of the sharing economy platform as a multidimensional influential factor including the network characteristics, and proposed a structural model that integrated network research and mobile information diffusion research. We surveyed 400 people with experience of fashion information activity on sharing economy platforms. Frequency, validity, reliability, measurement model and path analyses were conducted using SPSS and AMOS statistical packages. The results showed that trust value, profit/risk sharing, interdependence, and cultural/social similarity of the sub-network structure characteristics affected social relations, while trust value and cultural/social similarity also influenced relational embeddedness. Social relations and relational embeddedness, in turn, affected perceived complementarity and social interaction, both of which affected fashion information diffusion behaviors. Finally, social pressure, social ties, and social unity affected trust values. The results of this study can be applied not only to social connections among the members of the sub-network of a fashion sharing economy platform, but also as an effective means to explain the maintenance and reinforcement of mutual relations, thereby advancing the current academic research and practical applications.


1998 ◽  
Vol 76 (2) ◽  
pp. 387-407 ◽  
Author(s):  
H. Brinton Milward ◽  
Keith G. Provan

2021 ◽  
Vol 7 (5) ◽  
pp. 3671-3684
Author(s):  
Na Han ◽  
Runhua Tang ◽  
Jianjun Wang

[Purpose / Significance] The crisis of misinformation will increase in 5G.The spread of terrorism-related information in sudden violent and terrorist incidents in social networks has a great impact on national security and counter-terrorism work. The communication characteristics and impact of terrorism-related information is the guarantee of counter-terrorism work. The construction of counter-terrorism intelligence intervention strategy is in line with the scope of national security, which also is the embodiment of the national security governance system and counter-terrorism capabilities. [Methods/Procedures] Based on the social network analysis method and analyzing the communication characteristic of terrorism-related information and the factors of intervention, this paper proposed an intervention mechanism for terror-related information based on online social network. The proposed mechanism consists of three aspects: communication topic, communication structure and opinion leaders. [Results/Conclusion] The study finds out that we should strengthen the role of opinion leaders in information diffusion of news and government media, in terrorist incident, the network structure is loose and free on the whole, the spread of information influences the network structure and interaction. Government should supervise a real-time control on information emotional trend and hot topic according to different types of network structure characteristics, guiding the positive information and cooling down the harmful ones.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 54834-54842 ◽  
Author(s):  
Xuecheng Yu ◽  
Rui Li ◽  
Tianguang Chu

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