scholarly journals Experimental Environment to Model, Simulate and Analyze Contagious Diseases as a Diffusion Process in Social Networks

2021 ◽  
Author(s):  
Rafal Kasprzyk ◽  
Andrzej Najgebauer
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Diffusion Process ◽  
Network Theory ◽  
The Novel ◽  
Basic Principles ◽  
Contagious Diseases ◽  
Experimental Environment ◽  
Novel Model ◽  
Support Decision Making

Abstract In this paper the novel model of diffusion on networks and the experimental environment are presented. We consider the utilization of the graph and network theory in the field of modelling and simulating the dynamics of contagious diseases. We describe basic principles and methods and show how we can use them to fight against the spread of this phenomenon. We also present our software solution – CARE (Creative Application to Remedy Epidemics) that can be used to support decision-making activities.

Do online social networks support decision-making?

2015 ◽  
Vol 70 ◽  
pp. 15-30 ◽  
Author(s):  
Valeria Sadovykh ◽  
David Sundaram ◽  
Selwyn Piramuthu
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Online Social Networks ◽  
Support Decision Making

A NOVEL MODEL FOR RUMOR SPREADING ON SOCIAL NETWORKS WITH CONSIDERING THE INFLUENCE OF DISSENTING OPINIONS

2018 ◽  
Vol 21 (06n07) ◽  
pp. 1850011 ◽  
Author(s):  
AMIRHOSEIN BODAGHI ◽  
SAMA GOLIAEI
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Realistic Model ◽  
The Novel ◽  
Human Beings ◽  
Rumor Spreading ◽  
New Model ◽  
Sociological Factors ◽  
Novel Model ◽  
New Hypothesis

Rumor spreading is a good sample of spreading in which human beings are the main players in the spreading process. Therefore, in order to have a more realistic model of rumor spreading on online social networks, the influence of psycho-sociological factors particularly those which affect users’ reactions toward rumor/anti-rumor should be considered. To this aim, we present a new model that considers the influence of dissenting opinions on those users who have already believed in rumor/anti-rumor but have not spread the rumor/anti-rumor yet. We hypothesize that influence is a motive for the believers to spread their beliefs in rumor/anti-rumor. We derive the stochastic equations of the new model and evaluate it by using two real datasets of rumor spreading on Twitter. The evaluation results support the new hypothesis and show that the novel model which is relied on the new hypothesis is able to better represent rumor spreading.

scholarly journals A novel model for analyzing online customer experience in hotel services approach by topic modeling

2020 ◽  
Vol 4 (3) ◽  
pp. First
Author(s):  
Ho Van Nguyen ◽  
Ho Trung Thanh
Keyword(s):  
Decision Making ◽  
Topic Modeling ◽  
Hospitality Industry ◽  
Latent Dirichlet Allocation ◽  
The Internet ◽  
Coherence Score ◽  
Management And Development ◽  
Hospitality Sector ◽  
Novel Model ◽  
Support Decision Making

Recently, with the growth of technology and the Internet, customers can easily give their opinions and feedback about products and services on websites or social media. This information is stored in text form, and is a huge source of data to explore. In order to continue developing to meet customers needs, businesses need to gain customers' insights that customers discuss and concern. In this study, we firstly collected a corpus of 99,322 customer comments and reviews written in English from some e-commerce websites in the hospitality industry. After pre-processing the collected data, our team conducted experiments on this corpus and chose the best number of topics (K) was chosen by Perplexity and Coherence Score measurements as input parameters for the model. Finally, experiment on the corpus was used based on the Latent Dirichlet Allocation (LDA) model with K coefficient to explore the topic. The model results found hidden topics with a corresponding list of keywords, reflecting the issues that customers are interested in. Applying empirical results from the model will support decision making to improve products and services in business as well as in the management and development of businesses in the hospitality sector.

scholarly journals A study on the speed of governments’ healthcare response to COVID-19; cases: China, Hong Kong, Korea, Italy, the US, and Iran

2020 ◽  
Author(s):  
Farshad Nourian ◽  
Ahmad Sarabi ◽  
S.Alireza Mousavinezhad
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Mortality Rate ◽  
Healthcare Systems ◽  
The Novel ◽  
Analytic Hierarchy ◽  
Contagious Diseases ◽  
The Us ◽  
Hierarchy Process ◽  
Death Date

Abstract Background The spread of the novel COVID-19 virus has raised many questions on the performance of the national and global healthcare systems. Methods In this paper, we present the results of a study on how the decision-making speed at the national and city levels on dealing with the spread of the Corona virus has impacted the rate of mortality by means of Analytic Hierarchy Process (AHP) and Bubble chart. Results We considered variables such as the level of infrastructures in health, Information Technology, and human development in China and 5 other countries as all these factors could affect the rate of mortality in those countries as well. For each country, the data has been collected and analyzed starting with the time when the first patient was detected as a positive case up to three weeks later. For the time of decision-making, the data which could be used to illustrate the delay or promptitude of decisions included date of first death, date of quarantine, and the date of aviation suspension. Conclusion Our findings support the hypothesis that the timing of a government’s decision, either proactive or preemptive, along with its level of sophistication in urban and social infrastructures, can impact the mortality rate of contagious diseases such as COVID-19.

scholarly journals A Dynamical Map to Describe Covid-19 Epidemics

2021 ◽  
Author(s):  
Eduardo V. M. dos Reis ◽  
Marcelo A. Savi
Keyword(s):  
Decision Making ◽  
Numerical Simulations ◽  
Discrete Time ◽  
Analytical Calculation ◽  
Real Data ◽  
The Novel ◽  
Seir Model ◽  
Time Dynamics ◽  
Death Cases ◽  
Support Decision Making

AbstractThis paper proposes a dynamical map to describe COVID-19 epidemics based on the classical susceptible-exposed-infected-recovered (SEIR) model. The novel map represents Covid-19 discrete-time dynamics standing for the infected, cumulative infected and vaccinated populations. The simplicity of the discrete description allows the analytical calculation of useful information to evaluate the epidemic stage and to support decision making. In this regard, it should be pointed out the estimation of the number death cases and the herd immunization point. Numerical simulations show the model capacity to describe Covid-19 dynamics properly representing real data and describing different scenario patterns. Real data of Germany, Italy and Brazil are of concern to verify the model ability to describe Covid-19 dynamics. The model showed to be useful to describe the epidemic evolution and the effect of vaccination, being able to predict different pandemic scenarios.

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

Doping in sports – conscious lack of interest or ethical Everest?

2017 ◽  
Vol 65 (4) ◽  
Keyword(s):  
Decision Making ◽  
General Population ◽  
Medical Setting ◽  
Doping In Sports ◽  
Physician Relationship ◽  
Pharmaceutical Agents ◽  
Similar Development ◽  
Level Performance ◽  
Elite Sports ◽  
Support Decision Making

Within a clinical sports medical setting the discussion about doping is insufficient. In elite-sports use of pharmaceutical agents is daily business in order to maintain the expected top-level performance. Unfortunately, a similar development could be observed in the general population of leisure athletes where medical supervision is absent. As a sports physician you are facing imminent ethical questions when standing in between. Therefore, we propose the application of a standardised risk score as a tool to promote doping-prevention and launch the debate within athlete-physician-relationship. In the longterm such kind of risk stratification systems may support decision-making with regard to «protective» exclusion of sporting competition.

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