scholarly journals METHOD OF MODELING OF A SOCIAL PROFILE USING BIG DATA STRUCTURE TRANSFORMATION OPTIMIZATION

2021 ◽  
Vol 5 (1) ◽  
pp. 12-17
Author(s):  
Mykhailo Mozhaiev ◽  
Pavlo Buslov
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Big Data ◽  
Social Group ◽  
Oriented Graph ◽  
Multimedia Data ◽  
Dynamic Correction ◽  
Profile Model ◽  
Database Theory ◽  
The Social

The object of the research are methods and algorithms of optimizing of the Big Data transformation to build a social profile model, the subject of the research are methods of constructing of a social profile. For decision-making person, the problem of scientific methodological and instrumental re-equipment is relevant for the effective fulfillment of a set of managerial tasks and confronting of fundamentally new challenges and threats in society. This task is directly related to the problem of building of a model of the social profile of both the individual and the social group as a whole. Therefore, the problem of optimizing of methods of constructing of a mathematical model of a social profile is certainly relevant. During the research, methods of the mathematical apparatus of graph theory, database theory and the concept of non-relational data stores, Big Data technology, text analytics technologies, parallel data processing methods, methods of neural networks' using, methods of multimedia data analyzing were used. These methods were integrated into the general method, called the method of increasing of the efficiency of constructing of a mathematical model of a social profile. The proposed method improves the adequacy of the social profile model, which will significantly improve and simplify the functioning of information systems for decision-making based on knowledge of the social advantages of certain social groups, which will allow dynamic correction of their behavior. The obtained results of testing the method make it possible to consider it as an effective tool for obtaining of an objective information model of a social portrait of a social group. This is because the correctness of setting and solving of the problem ensured that adequate results were obtained. Unlike the existing ones, the proposed modeling method, which uses an oriented graph, allows to improve significantly the quality and adequacy of this process. Further research should be directed towards the implementation of proposed theoretical developments in real decision-making systems. This will increase the weight of automated decision-making systems for social climate analysis.

scholarly journals APPLICATION OF THE SIR MODEL TO COVID-19: social distance and (no-)evolution of the pandemic in state of the Tocantins

2020 ◽  
Vol 6 (3) ◽  
pp. a16en
Author(s):  
Élis Gardel da Costa Mesquita ◽  
Janeisi de Lima Meira ◽  
José de Ribamar Leonel Dias Neto
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Social Distance ◽  
Sir Model ◽  
System Of Differential Equations ◽  
Public Power ◽  
The Social ◽  
Isolation Index ◽  
The Mathematical Model ◽  
Reproduction Factor

This article is a study about the behavior and spread of the Covid-19 pandemic, in the state of Tocantins, based on data reported from March 18 to June 10. A modification of the mathematical model SIR was used, in which some auxiliary compartments were added. We analyzed epidemic aspects such as the speed of the contagion curve and its impacts on the health system. As the data are made available daily, a discretization of the system of differential equations that make up the model was performed, and based on the availability of known data, we investigated the correlation between the social isolation index and the basic reproduction factor.  Through a very simple interpolation, approximate contagion rates were obtained, enabling us to evaluate the behavior of the evolution of contagion curves and those that depend on them, which allows us to anticipate scenarios based on the trend lines of the data generated, thus helping decision making public power.

Social Cognitive Bias

2018 ◽  
pp. 110-132
Keyword(s):  
Decision Making ◽  
Social Group ◽  
Social Cognitive ◽  
Cognitive Biases ◽  
Social Groups ◽  
Ingroup Bias ◽  
Decision Making Process ◽  
The Social ◽  
The Individual ◽  
Social Decision Making

Within social psychology and sociology there is a field of study in charge of studying how the social group affects the individual in all areas. In fact, several studies have found that the social decision-making process can be influenced by cognitive biases. This fields establishes two large categories of social groups called ingroup and outgroup depending on whether individuals are part of this group or not. Therefore, an ingroup is a social group to which a person psychologically identifies as being a member. By contrast, an outgroup is a social group with which an individual does not identify. Moreover, the psychological membership of social groups and categories can be related with different aspects such as race, profession, religion, among others, so that individuals can categorize themselves and others in different ways, usually dependent on the context. This categorization that individuals do based in the pertinence to a group and the influence of the group on the person reproduce in the person social cognitive biases that can lead to erroneous decisions. Within these biases the best known is the ingroup bias. This chapter explores some of these social biases and how they influence the decision-making process.

scholarly journals Big data in the new media environment

2014 ◽  
Vol 37 (1) ◽  
pp. 94-95 ◽  
Author(s):  
Matthew Brook O'Donnell ◽  
Emily B. Falk ◽  
Sara Konrath
Keyword(s):  
Social Psychology ◽  
Decision Making ◽  
Big Data ◽  
New Media ◽  
Media Environment ◽  
The Social ◽  
Social Scientific ◽  
Four Quadrant ◽  
Socially Motivated ◽  
East West

AbstractBentley et al. argue for the social scientific contextualization of “big data” by proposing a four-quadrant model. We suggest extensions of the east–west (i.e., socially motivated versus independently motivated) decision-making dimension in light of findings from social psychology and neuroscience. We outline a method that leverages linguistic tools to connect insights across fields that address the individuals underlying big-data media streams.

scholarly journals Mapping collective behavior in the big-data era

2014 ◽  
Vol 37 (1) ◽  
pp. 63-76 ◽  
Author(s):  
R. Alexander Bentley ◽  
Michael J. O'Brien ◽  
William A. Brock
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Collective Behavior ◽  
Choice Theory ◽  
Mass Scale ◽  
Behavioral Pattern ◽  
Data Sets ◽  
Online Behavior ◽  
Social Phenomena ◽  
The Social

AbstractThe behavioral sciences have flourished by studying how traditional and/or rational behavior has been governed throughout most of human history by relatively well-informed individual and social learning. In the online age, however, social phenomena can occur with unprecedented scale and unpredictability, and individuals have access to social connections never before possible. Similarly, behavioral scientists now have access to “big data” sets – those from Twitter and Facebook, for example – that did not exist a few years ago. Studies of human dynamics based on these data sets are novel and exciting but, if not placed in context, can foster the misconception that mass-scale online behavior is all we need to understand, for example, how humans make decisions. To overcome that misconception, we draw on the field of discrete-choice theory to create a multiscale comparative “map” that, like a principal-components representation, captures the essence of decision making along two axes: (1) aneast–westdimension that represents the degree to which an agent makes a decision independently versus one that is socially influenced, and (2) anorth–south dimensionthat represents the degree to which there is transparency in the payoffs and risks associated with the decisions agents make. We divide the map into quadrants, each of which features a signature behavioral pattern. When taken together, the map and its signatures provide an easily understood empirical framework for evaluating how modern collective behavior may be changing in the digital age, including whether behavior is becoming more individualistic, as people seek out exactly what they want, or more social, as people become more inextricably linked, even “herdlike,” in their decision making. We believe the map will lead to many new testable hypotheses concerning human behavior as well as to similar applications throughout the social sciences.

scholarly journals Ailelerin Tatil Karar Sürecine Gençlerin Etkileri: Ankara İli Örneği / The Effects of the Youngs on the Family Vacation Decision Process: Ankara Case Study

2017 ◽  
Vol 6 (3) ◽  
pp. 630
Author(s):  
Ülker Köşk ◽  
Ahmet Gürbüz
Keyword(s):  
Decision Making ◽  
Young People ◽  
Social Group ◽  
Decision Making Process ◽  
The Social ◽  
The Family ◽  
And Behaviors ◽  
The Many ◽  
Family Vacation

<p><strong>Abstract</strong></p><p>Individuals who are members of a social group exhibit behaviors that may be similar or identical to that of the social group. It can be said that the individuals in a familiy, like in a social group, also have the same or similar thoughts, habits and behaviors. Having similar thoughts, habits and behaviors is the result of the individuals in the group being affected by each other.</p><p> The individuals in the family can be influenced by each other in the decision-making process as well as with the many areas. This influence is multilinear, and we must say that it is possible for each of the family members to be potentially affected individually by all the members of the family. This research examines how families are influenced by their children's thoughts during vacation decision-making. The universe of the research is young people aged 15-24 who reside in Ankara. As in most areas, families can be influenced by their children's thoughts and ideas during holiday decision-making. In this research, according to all these information, it researched in the city of Ankara to examine the effects decision-making process of the families of young people aged 15-24. A total of 1160 surveys were conducted in the research and 15 surveys were not included in the study for various reasons. The results of the questionnaires were analyzed using SPSS 22.0 program interpreting the data obtained from the remaining 1145 questionnaires.</p><p><strong>Öz</strong></p><p>Bir sosyal gruba mensup olan bireyler, sosyal grubun davranış biçimi ile benzer ya da aynı sayılabilecek davranışlar sergilerler. Sosyal bir grup olan ailedeki bireylerin de aynı düşüncelere, alışkanlıklara ve davranışlara sahip oldukları söylenebilir. Benzer düşünce, alışkanlık ve davranışlara sahip olmanın temelinde grup içindeki bireylerin birbirlerinden etkilenmelerinin yer aldığı söylenebilir.  </p><p>Ailedeki bireyler birçok alanda olduğu gibi karar verme sürecinde de birbirlerinden etkilenebilirler. Bu etkilenme çok yönlü bir etkilenme olup aile bireylerinden herbirinin potansiyel olarak ailenin tüm bireylerinden ayrı ayrı etkilenmesinin mümkün olduğunu söylememiz gerekir. Bu araştırma, tatil karar verme sürecinde ailelerin, çocuklarının düşüncelerinden ne şekilde etkilendiklerini incelemektedir. Çalışmanın evrenini, Ankara’da ikamet eden 15-24 yaş arası gençler oluşturmaktadır. Araştırmada toplam 1160 anket uygulanmış olup çeşitli nedenlerle 15 anket çalışmaya dâhil edilmemiştir. Geriye kalan 1145 anketten elde edilen verilerin yorumlanması için SPSS 22,0 veri analiz programı kullanılarak anket sonuçları analiz edilmiştir.</p>

Women in Power and Decision making Positions : Conditions and Restraints

1970 ◽  
pp. 53-57
Author(s):  
Azza Charara Baydoun
Keyword(s):  
Decision Making ◽  
Political Participation ◽  
Political Life ◽  
The Political ◽  
Decision Making Process ◽  
Power Structures ◽  
Policies And Procedures ◽  
The Social ◽  
The Status ◽  
Slow Progress

Women today are considered to be outside the political and administrative power structures and their participation in the decision-making process is non-existent. As far as their participation in the political life is concerned they are still on the margins. The existence of patriarchal society in Lebanon as well as the absence of governmental policies and procedures that aim at helping women and enhancing their political participation has made it very difficult for women to be accepted as leaders and to be granted votes in elections (UNIFEM, 2002).This above quote is taken from a report that was prepared to assess the progress made regarding the status of Lebanese women both on the social and governmental levels in light of the Beijing Platform for Action – the name given to the provisions of the Fourth Conference on Women held in Beijing in 1995. The above quote describes the slow progress achieved by Lebanese women in view of the ambitious goal that requires that the proportion of women occupying administrative or political positions in Lebanon should reach 30 percent of thetotal by the year 2005!

THE DEVELOPMENT OF THE MATHEMATICAL MODEL OF PREDICTING THE INDICATORS OF ACCREDITATION OF TECHNICAL UNIVERSITIES IN THE RUSSIAN FEDERATION

2017 ◽  
pp. 27-38
Author(s):  
Olga Mikhaylovna Tikhonova ◽  
Alexander Fedorovich Rezchikov ◽  
Vladimir Andreevich Ivashchenko ◽  
Vadim Alekseevich Kushnikov
Keyword(s):  
Mathematical Model ◽  
System Dynamics ◽  
Regression Model ◽  
Oriented Graph ◽  
Real Data ◽  
Educational Process ◽  
Proposed Model ◽  
Linear Differential ◽  
The University ◽  
The Mathematical Model

The paper presents the system of predicting the indicators of accreditation of technical universities based on J. Forrester mechanism of system dynamics. According to analysis of cause-and-effect relationships between selected variables of the system (indicators of accreditation of the university) there was built the oriented graph. The complex of mathematical models developed to control the quality of training engineers in Russian higher educational institutions is based on this graph. The article presents an algorithm for constructing a model using one of the simulated variables as an example. The model is a system of non-linear differential equations, the modelling characteristics of the educational process being determined according to the solution of this system. The proposed algorithm for calculating these indicators is based on the system dynamics model and the regression model. The mathematical model is constructed on the basis of the model of system dynamics, which is further tested for compliance with real data using the regression model. The regression model is built on the available statistical data accumulated during the period of the university's work. The proposed approach is aimed at solving complex problems of managing the educational process in universities. The structure of the proposed model repeats the structure of cause-effect relationships in the system, and also provides the person responsible for managing quality control with the ability to quickly and adequately assess the performance of the system.

Modern forms of assistance to solve families difficult cases and their adolescent children

2014 ◽  
Vol 4 (1) ◽  
pp. 123-133
Author(s):  
Marzena Możdżyńska
Keyword(s):  
Adverse Event ◽  
Young People ◽  
Social Exclusion ◽  
Family Life ◽  
Social Group ◽  
Social Hierarchy ◽  
Educational Work ◽  
The Social ◽  
Difficult Cases ◽  
Complex Activities

Abstract In recent decades, we observe a significant disorganization of family life, especially in the sphere of parental functions performed by unprepared for the role emotional, socially and economically young people. Lack of education, difficulties in finding work, and the lack of prospects for positive change are the main causes of their impoverishment and progressive degradation in the social hierarchy. Reaching young people at risk of social exclusion and provide them with comprehensive care, should be a priority of modern social work and educational work. In order to provide help this social group and cope with the adverse event created a lot of programs to support systemically start in life. An example would be presented in the article KARnet 15+ program as a form of complex activities of a person stimulating subjectivity, and allows you to modify support in individual cases

Segments Influencing Individual Investors Behavior And Their Investment Decision

2019 ◽  
Vol 118 (9) ◽  
pp. 154-160
Author(s):  
Dr. Kartikey Koti
Keyword(s):  
Decision Making ◽  
Social Factors ◽  
Stock Markets ◽  
Investment Decision ◽  
Individual Investors ◽  
Factors Affecting ◽  
The Social ◽  
Karnataka State ◽  
Essential Idea

The essential idea of this assessment is investigate the social factors affecting particular theorists' decisions making limit at Indian Stock Markets. In the examination coordinated standard of direct is Classified subject to two estimations the first is Heuristic (Decision making) and the resulting one is prospect.. For the assessment coordinated the data used is basic natured which is assembled through a sorted out survey from 100 individual money related authorities based out in Hubli and Dharwad city, Karnataka State in India on an accommodating way. The respondents were both sex and overwhelming part male were 68% . These theorists were having a spot with the age bundle between35-45 which is 38%. These respondents have completed their graduation were around 56%. These respondents had work inclusion of 5 to 10 years which is 45% and the majority of which were used in government portion which is 56%. Their compensation was between 4 to 6 Lakh and were fit for placing assets into business areas. The money related experts were widely masterminded placing assets into different portfolios like 32% in Share market and 20 % in Fixed store. These examiners mode to known various endeavor streets were through News, family and allies.  

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