scholarly journals VERIFICATION OF THE PARAFFIN FORMATION MODEL BASED ON LABORATORY STUDIES OF FLUID SAMPLES FROM THE BOTTOM AND WELLHEAD

2021 ◽  
pp. 19
Author(s):  
P.Yu. Ilushin ◽  
K.A. Vyatkin ◽  
A.V. Kozlov ◽  
A.O. Votinova
Keyword(s):  
Laboratory Studies ◽  
Formation Model ◽  
Model Based

Empirical Research on Populations of Adaptive Individuals

2020 ◽  
pp. 141-153
Keyword(s):  
Empirical Research ◽  
Empirical Studies ◽  
Theory Development ◽  
Organization Change ◽  
Laboratory Studies ◽  
Design Studies ◽  
Entire Process ◽  
Levels Of Organization ◽  
Model Based ◽  
Multiple Levels

This chapter studies how modeling supports empirical research. The benefit of integrating modeling and empirical research has long been recognized: theorists and modelers pose hypotheses that empirical researchers then design studies to test, and empirical research informs the development of new hypotheses. Such integration may be particularly valuable in frameworks that include multiple levels of organization, from individuals to populations to communities. But does working across levels of organization change the relationships of theory, modeling, and empirical research? What kinds of field and laboratory studies do we need, and at what levels of organization, to support modeling? The chapter assesses these questions. Thinking about the relation between modeling and empirical research requires one to address the entire process of model-based research, which is usefully characterized as a modeling cycle. The chapter then explores how the kind of modeling and theory development presented in this book can contribute to empirical studies and research.

A model-based solution for observational errors in laboratory studies

2018 ◽  
Vol 18 (3) ◽  
pp. 580-589 ◽  
Author(s):  
Brian M. Brost ◽  
Brittany A. Mosher ◽  
Kristen A. Davenport
Keyword(s):  
Laboratory Studies ◽  
Model Based ◽  
Observational Errors

Social Clubs and Social Networks

2021 ◽  
Vol 13 (1) ◽  
pp. 224-251
Author(s):  
Chaim Fershtman ◽  
Dotan Persitz
Keyword(s):  
Social Networks ◽  
Network Formation ◽  
Third Parties ◽  
Formation Model ◽  
Trade Off ◽  
Weighted Network ◽  
Social Clubs ◽  
Model Based

We present a strategic network formation model based on membership in clubs. Individuals choose affiliations. The set of all memberships induces a weighted network where two individuals are directly connected if they share a club. Two individuals may also be indirectly connected using multiple memberships of third parties. Individuals gain from their position in the induced network and pay membership fees. We study the club congestion model where the weight of a link decreases with the size of the smallest shared club. A trade-off emerges between the size of clubs, the depreciation of indirect connections, and the membership fee. (JEL D71, D85, Z13)

PUBLIC OPINION FORMATION MODEL BASED ON OPINION ENTROPY

2013 ◽  
Vol 24 (11) ◽  
pp. 1350080 ◽  
Author(s):  
YUE WU ◽  
YONG HU ◽  
XIAO-HAI HE
Keyword(s):  
Public Opinion ◽  
Shannon Entropy ◽  
Quantitative Measurement ◽  
Formation Model ◽  
Opinion Formation ◽  
The Public ◽  
Model Based ◽  
Simulation Results ◽  
High Control ◽  
Short Time

In this paper, we introduce the concept of opinion entropy based on Shannon entropy, which is used to describe the uncertainty of opinions. With opinion entropy, we further present a public opinion formation model, and simulate the process of public opinion formation under various controlled conditions. Simulation results on the Holme–Kim network show that the opinion entropy will reduce to zero, and all individuals will hold the opinion of agreeing with the topic, only by adjusting the cons' opinions with a high control intensity. Controlling the individuals with big degree can bring down the opinion entropy in a short time. Besides, extremists do not easily change their opinion entropy. Compared with previous opinion clusters, opinion entropy provides a quantitative measurement for the uncertainty of opinions. Moreover, the model can be helpful for understanding the dynamics of opinion entropy, and controlling the public opinion.

Sign in / Sign up

Export Citation Format

Share Document