scholarly journals Opinion Maximization in Social Trust Networks

2020 ◽  
Author(s):  
Pinghua Xu ◽  
Wenbin Hu ◽  
Jia Wu ◽  
Weiwei Liu
Keyword(s):  
Social Trust ◽  
Opinion Dynamics ◽  
Practical Significance ◽  
Dynamics Model ◽  
Network Characteristics ◽  
Limited Budget ◽  
Trust Networks ◽  
A Site ◽  
Broad Interest ◽  
Bipartite States

Social media sites are now becoming very important platforms for product promotion or marketing campaigns. Therefore, there is broad interest in determining ways to guide a site to react more positively to a product with a limited budget. However, the practical significance of the existing studies on this subject is limited for two reasons. First, most studies have investigated the issue in oversimplified networks in which several important network characteristics are ignored. Second, the opinions of individuals are modeled as bipartite states (e.g., support or not) in numerous studies, however, this setting is too strict for many real scenarios. In this study, we focus on social trust networks (STNs), which have the significant characteristics ignored in the previous studies. We generalized a famed continuous-valued opinion dynamics model for STNs, which is more consistent with real scenarios. We subsequently formalized two novel problems for solving the issue in STNs. In addition, we developed two matrix-based methods for these two problems and experiments on realworld datasets to demonstrate the practical utility of our methods.

Multi-state voter model on weighted social networks with committed agents

2014 ◽  
Vol 25 (07) ◽  
pp. 1450022 ◽  
Author(s):  
Saijun Chen ◽  
Haibo Hu ◽  
Jun Chen ◽  
Zhigao Chen
Keyword(s):  
Social Networks ◽  
Numerical Simulations ◽  
Opinion Dynamics ◽  
The Other ◽  
Voter Model ◽  
Scaling Exponent ◽  
Dynamics Model ◽  
Topological Structures ◽  
A Value ◽  
Dynamics Models

There exist scaling correlations between the edge weights and the nodes' degrees in weighted social networks. Based on the empirical findings, we study a multi-state voter model on weighted social networks where the weight is given by the product of agents' degrees raised to a power θ and there exist persistent individuals whose opinions are independent of those of their friends. We find that the fraction of each opinion will converge to a value which only relates to the degrees of initial committed agents and the scaling exponent θ. The analytical predictions are verified by numerical simulations. The model indicates that agents' degrees and scaling exponent can significantly influence the final coexistence or consensus state of opinions. We also study the influence of degree mixing characteristics on the dynamics model by numerical simulations and discuss the relation between the model and the other related opinion dynamics models on social networks with different topological structures and initial configurations.

scholarly journals Analysis of a nonlinear opinion dynamics model with biased assimilation

Automatica ◽  
2020 ◽  
Vol 120 ◽  
pp. 109113
Author(s):  
Weiguo Xia ◽  
Mengbin Ye ◽  
Ji Liu ◽  
Ming Cao ◽  
Xi-Ming Sun
Keyword(s):  
Opinion Dynamics ◽  
Dynamics Model ◽  
Biased Assimilation

Assessing specific agronomic responses of wheat cultivars in a winter rainfall environment

2011 ◽  
Vol 62 (2) ◽  
pp. 115 ◽  
Author(s):  
W. K. Anderson ◽  
A. J. van Burgel ◽  
D. L. Sharma ◽  
B. J. Shackley ◽  
C. M. Zaicou-Kunesch ◽  
...  
Keyword(s):  
Field Experiments ◽  
Practical Significance ◽  
Wheat Cultivars ◽  
Seeding Rate ◽  
Seed Rate ◽  
Site Analysis ◽  
Yield Level ◽  
Rate Interaction ◽  
A Site ◽  
N Rates

When new wheat cultivars are released for commercial production it is desirable to assist farmers to maximise the yield advantage by providing information about their responses to agronomic practices such as seeding rate and nitrogen (N) fertiliser. Over 3 years in 22 field experiments in the Mediterranean-type environment of Western Australia the response to seed rate and applied N fertiliser of current and recently released wheat cultivars was measured in factorial experiments under rain-fed conditions. A cross-site analysis showed that the environment × cultivar (location and year) or management (seed rate and N rate) interactions were relatively minor, explaining only 5% or less of the yield variation, in contrast to 89% accounted for by the environment. The analyses of individual experiments revealed that cultivars interacted more often with seeding rate (12 sites) than with applied N fertiliser rates (4 sites). Further, despite a frequent occurrence, the cultivar × seed rate interaction had only a marginal practical significance because the cultivar rankings at a site varied with season and the differences in optimum plant population were greater between sites and seasons than between cultivars at a site. The number of sites with positive and significant cultivar × N rate interaction was insufficient to generalise about the validity of the responses. The lack of any large differences between cultivars for their response to either seed rate or N rate implies the presence of a high inherent ability for compensation among yield components, thereby enabling the cultivars to exhibit an apparently high similarity for response to input levels. As such, it was not possible to generalise across environments in making clear suggestions for farmers to follow in respect of managing new cultivars differently from each other. It was concluded that despite the apparent desirability of providing information about differences between new and existing cultivars in their responses to seed and N rates at the time of release, they are more likely to be found where the differences between the cultivars are large, the testing sites are chosen so as to reduce the yield variance, and the yield level achieved in the experiments is above 2 t/ha.

scholarly journals Nuclear’s Model T

2009 ◽  
Vol 131 (07) ◽  
pp. 36-40 ◽  
Author(s):  
Craig F. Smith
Keyword(s):  
Economic Performance ◽  
Power Plants ◽  
Nuclear Energy ◽  
The United States ◽  
Economy Of Scale ◽  
Energy Projects ◽  
Alternative Sources ◽  
A Site ◽  
Central Station ◽  
Broad Interest

This article discusses that the future of nuclear energy could lie in plants that can be factory built, shipped to a site, and operated 30 years without refueling. The scope and timing •of the “nuclear renaissance,” however, remain somewhat uncertain. All that is known is that in countries around the globe, including the United States, significant numbers of new nuclear energy projects are under way or in various stages of planning, and this activity represents a departure from that of recent decades. The broad interest in developing new small reactor system concepts seems to be in conflict with the trend toward ever-larger central station power plants, which is driven by the principle of economy of scale. The Secure Transportable Autonomous Reactor (STAR) concept and the Small Secure Transportable Autonomous Reactor (SSTAR) reactor in particular provide good examples of additional design features that could make the introduction of such reactors more readily accepted while offering the potential for economic performance that makes sense in comparison to other alternative sources of energy.

A stochastic opinion dynamics model with multiple contents

2013 ◽  
Author(s):  
Julio Cesar Louzada Pinto ◽  
Tijani Chahed ◽  
Jeremie Jakubowicz
Keyword(s):  
Opinion Dynamics ◽  
Dynamics Model
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