scholarly journals APPROACH TO VERIFICATION OF THE TARGET AUDIENCE MODEL OF PSYCHOLOGICAL INFLUENCE IN SOCIAL NETWORKS

2021 ◽  
pp. 16-23
Author(s):  
V. S. Savchuk
Keyword(s):  
Social Networks ◽  
Real Data ◽  
Target Audience ◽  
Model Verification ◽  
Graph Visualization ◽  
Modeling Tools ◽  
Software Application ◽  
Psychological Influence ◽  
Psychological Operations ◽  
The Mathematical Model

Modern planning of psychological operations is not possible without the use of information technology, such as modeling tools that ensure the accuracy of planned operations and predict their results. Modern technologies also help to facilitate the perception of information through visualization. Any information, especially on social networks, is easier for analysts to process if it is presented in a schematic form. For example, the target audience of psychological influence in social networks can be represented by a graph. The article solves the urgent problem of verifying the model of the target audience of psychological influence in social networks. The approach to model verification is based on a combination of cognitive criteria of topological structure. Classical methods of verification of mathematical models are used for verification of mathematical calculations. Data visualization is taken as the basis of the cognition criterion. The article presents a method of graph visualization, which sets the mathematical model of the target audience. Visual representation of the graph not only promotes better assimilation, but also speeds up the analysis of the collected information about the target audience through automation. The data obtained during the run of the model are compared with real data, thus confirming the conformity of the behavior of the model to real phenomena. Validation of the model with the help of software was performed by tracing the model. The adequacy of the model is based on the possibility of analysis of the target audience by the user according to the characteristics of individual actors, which make it possible to determine their role and analyze the structure of the target audience as a whole. The theory of analysis of social networks is the basis of the choice of characteristics of the target audience. To assess the adequacy of the model, two characteristics of the target audience were chosen, as centrality in mediation and centrality in its own vector. The results of the calculations are presented using the software application Gephi. Data from the VKontakte social network were used as input data to check the adequacy of the model.

scholarly journals AUTOMATION OF THE PROCESS OF CREATING PSYCHOLOGICAL INFLUENCE PRODUCTS

2019 ◽  
pp. 165-173
Author(s):  
Y. I. Mikhieiev ◽  
O. V. Krуtenko
Keyword(s):  
Block Diagram ◽  
Armed Forces ◽  
Target Audience ◽  
Sequential Execution ◽  
Specialized Software ◽  
Reference Information ◽  
Psychological Influence ◽  
Psychological Operations ◽  
Criteria For Evaluation

The article discusses the process of creating psychological influence products. The characteristics for the creation of these materials are given. An analysis algorithm of target audience is proposed, which acts as the main object for the implementation of the supporting goal of a psychological operation (action). The algorithm presupposes the sequential execution of the following steps: definition and refinement of the specifications of the target audience; calculation of the target audience effectiveness; identifying the causes and consequences of existing behavior of the target audience; description of vulnerabilities of the target audience; determination of the target audiences’ susceptibility; development of arguments and recommendations for a psychological operation (action); clarification of the primary criteria for evaluation of the target audience. The block diagram of the automation process algorithm of creating psychological influence products is provided in the article. According to the presented algorithm, specialized software has been developed and involves step-by-step filling of the relevant points of the program, taking into account the methodology which is used in the units of psychological operations of the NATO armed forces. The result of the specialized software’s work is the concept of creation of the printed psychological influence product. In addition, at the stage of designing of the printed psychological influence products, there is a database which contains ready-made materials and reference information which serve as the examples. There are two groups of criteria that are used while extending the database: the first group characterizes the psychological (manipulative) component of the psychological influence products, the second – the rules for its design in terms of perception (attention) of the target audience.

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.

Index of suicide risk in Mexico using Twitter

2019 ◽  
pp. 1-13
Author(s):  
Luz Judith Rodríguez-Esparza ◽  
Diana Barraza-Barraza ◽  
Jesús Salazar-Ibarra ◽  
Rafael Gerardo Vargas-Pasaye
Keyword(s):  
Social Networks ◽  
Analytic Hierarchy Process ◽  
Suicide Risk ◽  
Opinion Mining ◽  
Real Data ◽  
Analytic Hierarchy ◽  
Specialized Care ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Objectives: To identify early suicide risk signs on depressive subjects, so that specialized care can be provided. Various studies have focused on studying expressions on social networks, where users pour their emotions, to determine if they show signs of depression or not. However, they have neglected the quantification of the risk of committing suicide. Therefore, this article proposes a new index for identifying suicide risk in Mexico. Methodology: The proposal index is constructed through opinion mining using Twitter and the Analytic Hierarchy Process. Contribution: Using R statistical package, a study is presented considering real data, making a classification of people according to the obtained index and using information from psychologists. The proposed methodology represents an innovative prevention alternative for suicide.

The features of transnational corporations’ advertisement in social networks

2019 ◽  
pp. 89-92
Author(s):  
Daniella Mushka ◽  
Yeva Erfan
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Wide Spectrum ◽  
Subsequent Development ◽  
Transnational Corporations ◽  
Target Audience ◽  
Social Media Marketing ◽  
Scientific Article ◽  
The Social ◽  
The Given

This scientific article considers all aspects, modern importance and growing role of the social media marketing and advertisement in the general spectrum of marketing activity for developed and developing brands. Investigational actuality and basic directions of application of all spectrum of instruments of social networks for the sake of advancement of product and the processes of forming perception of trade mark and forming the image of brand are analyzed by the authors of the article. The given scientific article highlights the most popular trends and patterns of goods and trademarks’ promotion in the world in the context of updating the concept of advertising on social networks. The bigger and more engaged your target audience is on social media networks (Instagram, Facebook, Twitter, YouTube etc), the easier it will be for you to achieve every other marketing or business goal. The importance of social media marketing’s assistance in attracting new potential clients and customers to the company is also considered in the given article. Besides that, the authors of the article list and analyse wide spectrum of basic trends considering promotion and advertising in 2019 among the well-known brands. In addition to this all, the list of the most successful publicity advertisement campaigns of this year and brands which were promoted with their assistance are listed and analysed. In the context of the study, it shows up that advertising campaigns play a significant role not only in reaching sales but also in generating overall customer loyalty to the brand. This makes it possible to argue that the most reputable brands should have an important social goal that will be positively accepted by society and target audience in addition to the high quality and usability of the products or services. Social networking is the easiest way to see the social response to your promotion and lead to an instant purchase. Therefore, relying on the experience of the already well-known multinational and transnational corporations, social media marketing should take a significant share of the overall promotion of the company. The connection between the brand and potential customer should be built on the emotions that accompany consumers when viewing ads and using products. This scientific article eventually declares conclusions and prognoses in relation to subsequent development of these instruments and platforms for advancement and branding of small and large enterprises in future. It states that emotional connection between person and brand is much more effective for the company than an expensive ad.

Family Traditions as a Condition for Socialization of Young Generation (Based on a Sample of Tuva Republic)

2021 ◽  
pp. 106648072110007
Author(s):  
Valentina Maryuhina
Keyword(s):  
Social Networks ◽  
Married Couples ◽  
Target Audience ◽  
Sociological Research ◽  
Young Generation ◽  
Practical Application ◽  
The Family ◽  
Social Entities ◽  
Regional Programs

The purpose of this study is to regard the family traditions of a present-day Tuvan family as a precondition for the successful socialization of younger generations. We conducted a sociological survey to identify the significance of family traditions in the process of upbringing children. For this, 148 married couples, who had children under 18 years old, participated in the survey. A sociological research questionnaire was compiled and presented on the platform www.survey.yandex.ru : The questions were created on the website and distributed among the target audience through social networks. The respondents were asked 15 questions of both open-ended and close-ended types. The results of the study can be used while developing regional programs to support young families as well as an aspect of the family’s ability to educate the young generation. Moreover, the practical application of the results is possible in enhancing the activities of existing social entities while organizing events to maintain a respectful attitude to family traditions.

Modern Marketing and Involvement of the Audience of Non-Profit Organizations in Communication in Social Networks

2021 ◽  
Vol 26 (12) ◽  
pp. 1349-1354
Author(s):  
A. M. Kuzmina
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Nonprofit Organizations ◽  
Target Audience ◽  
Communication Process ◽  
Customer Engagement ◽  
Marketing Theory ◽  
Public Attention ◽  
Non Profit ◽  
Non Profit Organizations

Aim. The presented study aims to describe the process of involving the target audience of nonprofit organizations in communication in social networks from the perspective of modern marketing goals.Tasks. The author conceptualizes the notions of “involvement” and “engagement” as mechanisms of marketing communications; determines the range of methods and tools used by non-profit organizations in their marketing practices to enhance the engagement of the target audience in communication in social networks; assesses the degree of engagement of the target audience of nonprofit organizations (NPOs) in social networks in the context of industry-specific features and the NPO’s location in order to analyze efforts aimed at involving the audience in communication in social networks through the example of non-profit organizations in the city of Perm.Methods. In modern marketing theory, the shift of the marketing paradigm towards continuous interaction between companies and customers at each stage of their contact with the organization appears imminent. It becomes necessary to maintain a certain level of customer engagement in communication as a cognitive and behavioral construct of the communication process. In this regard, the methodological basis of the study is determined by cognitive and behavioral approaches as key theoretical constructs in the representation of the phenomenon of involvement of the target audience in the communication process.Results. Marketing tools for involving the target audience of non-profit organizations in communication in social networks at each stage of the customer journey are identified; the degree of involvement of the target audience in communication with Perm’s socially oriented non-profit organizations (SO NPOs) in such social networks as VKontakte and Instagram is characterized from the perspective of consolidating the scientific view on the specifics of marketing goals for promoting organizations in the non-profit sector. The author substantiates the need for a systematic diagnosis of the conditions that determine the degree of the audience’s engagement in communication in social networks from the perspective of marketing goals for attracting public attention to the activities of civil institutions.Conclusions. The features of communication with the target audience on social network platforms in the marketing practice of promotion are identified with allowance for the industry-specific features of non-governmental non-profit organizations and their location. It is established that higher engagement of the target audience in communication in social networks is characterized by consistency in information placement; broad coverage of the community audience in a social network, which is estimated by the number of subscribers; posts being viewed by a great number of people, far exceeding the number of subscribers; many likes on community posts; presence of comments and reposts; a link from the social network to the official website of the SO NPO; attraction and use of user content in the community; horizontal connections within the community, networking.

scholarly journals Exploring How Influencer and Relationship Marketing Serve Corporate Sustainability

2020 ◽  
Vol 12 (11) ◽  
pp. 4392 ◽  
Author(s):  
Carmen Berne-Manero ◽  
Mercedes Marzo-Navarro
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Multivariate Analysis ◽  
Relationship Marketing ◽  
Essential Role ◽  
Corporate Sustainability ◽  
Target Audience ◽  
Customer Engagement ◽  
Customer Acquisition

Influencer marketing furthers the goals of relationship marketing. Companies use influencers to advertise their products through social networks such as Instagram. This digital advertising is aimed at shifting the company’s goals from customer acquisition to retention and commitment. While several articles provide interesting advances analyzing social media and sustainability goals, research about influencer types and their impact on engagement preserving corporate sustainability is limited. Thus, the objectives of this study are: (1) Select general influencer traits as positive characteristics in promoting a product; (2) analyze them for micro and macro influencer scenarios; (3) explore potential differences in their adequacy determining customer engagement and preserving corporate sustainability. Credibility, pleasantness, and emotions are the criteria analyzed through multivariate analysis applied over two independent samples of followers. Pleasantness and appearance in the macro influencer scenario and perceived integrity in that of the micro influencer appear to conflict with the desired transparency of the message, while transmission of emotions plays an essential role in both scenarios. This is a very important finding. Companies should assess candidate influencers’ emotional projection skills, in addition to evaluating the brand sponsorship costs and defining the target audience for the advertisement, always under the premise of preserving corporate sustainability.

scholarly journals Inferring Ties in Social IoT Using Location-Based Networks and Identification of Hidden Suspicious Ties

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Nauman Ali Khan ◽  
Sihai Zhang ◽  
Wuyang Zhou ◽  
Ahmad Almogren ◽  
Ikram Ud Din ◽  
...  
Keyword(s):  
Social Networks ◽  
Internet Of Things ◽  
Social Ties ◽  
Social Activity ◽  
Geographical Location ◽  
Real Data ◽  
Time Frame ◽  
Data Sets ◽  
The Social ◽  
Time Frames

Stochastic Internet of Things (IoT)-based communication behavior of the progressing world is tremendously impacting social networks. The growth of social networks helps to quantify the effect on the Social Internet of Things (SIoT). Multiple existences of two persons at several geographical locations in different time frames hint to predict the social connection. We investigate the extent to which social ties between people can be inferred by critically reviewing the social networks. Our study used Chinese telecommunication-based anonymized caller data records (CDRs) and two openly available location-based social network data sets, Brightkite and Gowalla. Our research identified social ties based on mobile communication data and further exploits communication reasons based on geographical location. This paper presents an inference framework that predicts the missing ties as suspicious social connections using pipe and filter architecture-based inference framework. It highlights the secret relationship of users, which does not exist in real data. The proposed framework consists of two major parts. Firstly, users’ cooccurrence based on the mutual location in a specific time frame is computed and inferred as social ties. Results are investigated based upon the cooccurrence count, the gap time threshold values, and mutual friend count values. Secondly, the detail about direct connections is collected and cross-related to the inferred results using Precision and Recall evaluation measures. In the later part of the research, we examine the false-positive results methodically by studying the human cooccurrence patterns to identify hidden relationships using a social activity. The outcomes indicate that the proposed approach achieves comprehensive results that further support the theory of suspicious ties.

Mechanism analysis of competitive information asynchronous dissemination on social networks

2019 ◽  
Vol 30 (11) ◽  
pp. 1950094 ◽  
Author(s):  
Jianye Yu ◽  
Junjie Lv ◽  
Yuanzhuo Wang ◽  
Jingyuan Li
Keyword(s):  
Social Networks ◽  
Information Diffusion ◽  
Information Dissemination ◽  
Evolutionary Game ◽  
Real Data ◽  
Game Model ◽  
Mechanism Analysis ◽  
Sina Weibo ◽  
Human Behaviors ◽  
Information Spread

Information dissemination groups, especially those disseminating the same kind of information such as advertising, product promotion, etc., compete with each other when their information spread on social networks. Most of the existing methods analyze the dissemination mechanism mainly upon the information itself without considering human characteristics, e.g. relation networks, cooperation/defection, etc. In this paper, we introduce a framework of social evolutionary game (SEG) to investigate the influence of human behaviors in competitive information dissemination. Coordination game is applied to represent human behaviors in the competition of asynchronous information diffusion. We perform a series of simulations through a specific game model to analyze the mechanism and factors of information diffusion, and show that when the benefits of competitive information is around 1.2 times of the original one, it can compensate the loss of reputation caused by the change of strategy. Furthermore, through experiments on a dataset of two films on Sina Weibo, we described the mechanism of competition evolution over real data of social network, and validated the effectiveness of our model.

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