scholarly journals Social technologies as research field and instrument of social transformations

2020 ◽  
Vol 25 (4) ◽  
pp. 77-94
Author(s):  
O. Vl. Gavrilenko
Keyword(s):  
Research Area ◽  
Research Field ◽  
State University ◽  
Social Phenomena ◽  
Social Transformations ◽  
Blockchain Technology ◽  
The Social ◽  
Wide Range ◽  
Social Technologies ◽  
Virtual And Augmented Reality

This article attempts to represent social technologies as a research area of sociology and a practical field. Social technologies (as technology of government of social processes, agents, organizations, communities) are the complex social phenomenon. Nowadays — the days of radical technological changes (Internet of things, Big Data, virtual and augmented reality, blockchain technology, artificial intelligence, machine learning, robotization, transition to a shared economy), redefining a wide range of social fields and generating principally new social regimes ad configurations — the social technologies acquire almost universal character. The exploration and practices (design, implementation, modification) of social technologies mean the work with the widest possible range of social phenomena, deploying on very different spatial and time scales and in various social spheres. At the same time, there remains a need for conceptual and theoretical clarification of “social technologies” on the other hand, and for their institualization as research and practical fields (with its own standards, human and organizational resources and so on). The department of social technologies was opened in Moscow State University establishment on Faculty of Sociology in 2013 to address that need. The article outlines the whole number of research directions of this department since its establishment, through to the present day.

scholarly journals Evaluation of the project making culture of the students learning the social engineering technics

2016 ◽  
Vol 6 (4) ◽  
pp. 209-223
Keyword(s):  
Social Engineering ◽  
State University ◽  
Self Evaluation ◽  
Legal Psychology ◽  
The Social ◽  
Wide Range ◽  
Development Evaluation ◽  
University Course ◽  
The University ◽  
Moscow State University

During the university course the future legal psychologists have to master a wide range of professional competencies, among them are those that can be classified as management, with an emphasis on project making competencies and their relationship with the project making professional culture. The article presents the results of students' self-evaluation competencies. This research was a part of the monitoring of learning outcomes in a number of disciplines in the Faculty of Legal Psychology, Moscow State University of Psychology and Education. The author raises the problem of defining the concepts of "project culture" and "psychological culture of project making", which still do not have a clear definition inspite of the intensive development of the socio-cultural, innovative and other forms of project making. For legal psychologists project making culture involves the acquisition of psychologically correct approaches to the development, evaluation, promotion and institutionalization of the ideas, so they can provide the solution of professional problems.

scholarly journals Modeling Network Dynamics

2020 ◽  
pp. 145-171
Keyword(s):  
Communication Networks ◽  
Random Network ◽  
Network Dynamics ◽  
Network Models ◽  
Random Networks ◽  
Social Phenomena ◽  
Disease Propagation ◽  
The Social ◽  
Wide Range ◽  
Model Dynamics

Social relationships and the social networks over these relationships do not occur arbitrarily. However, the random networks dealt with in this chapter are important tools for modeling the networks of these systems. The authors use random networks to understand and to model dynamics regarding the whole social structure. Random network models became the topic of several studies independently from social network analysis in the 1950s. These models were used in the analysis of a wide range of social and non-social phenomena, from electrical and communication networks to the speed and manner of disease propagation. This chapter explores the modeling network dynamics of random networks.

scholarly journals THE CHALLENGES OF SOCIAL ENTREPRENEURSHIP FROM A BIBLIOMETRIC PERSPECTIVE

2020 ◽  
Vol 4 (1) ◽  
pp. 199-206
Author(s):  
Daniela Gabriela COZMA ◽  
◽  
, Margareta Bocancia
Keyword(s):  
Social Entrepreneurship ◽  
Social Practice ◽  
Social Impact ◽  
Relevant Literature ◽  
Research Area ◽  
Research Field ◽  
Underlying Structure ◽  
Legitimate Interest ◽  
The Social ◽  
Evaluation And Monitoring

The concept of social entrepreneurship arouses a legitimate interest in both the economic literature and in the social sciences literature. The consideration of the concept of social entrepreneurship results in the identification of some notions from the conceptual area confined to it, such as sustainability, social responsibility, mission, value and social impact. But the definition and understanding of social entrepreneurship necessarily implies the term "social", and, once recognized as defining, this term implies the establishment of the role and contribution of social entrepreneurship in the society, suggesting the solving of several issues in this segment of social practice, such as the issues associated with vulnerable and marginalized groups. Since in the last years, the volume of scientific research in the economic field that addresses the topic of social entrepreneurship has increased dramatically and it is increasingly difficult for researchers to follow the relevant literature in their field, we have used quantitative bibliometric methods that can manage data and filter important works by estimating their impact and discovering the underlying structure of a research field. The purpose was to obtain a representation of the structure of the research area, by dividing the elements (authors of documents, articles, words) into different groups and to revise a certain line of research by using bibliometric methods that allow a quantitative approach for description, evaluation and monitoring of published research.

scholarly journals Socially Engaged Social Psychology in Asia: Sustaining Research Progress in Diverse Directions

2018 ◽  
Vol 12 ◽  
Author(s):  
Allan B. I. Bernardo ◽  
James H. Liu
Keyword(s):  
Social Psychology ◽  
Social Change ◽  
Empirical Studies ◽  
Research Progress ◽  
Special Issue ◽  
Social Psychological ◽  
Social Phenomena ◽  
The Social ◽  
Wide Range ◽  
Psychological Paradigms

The final thematic special issue in the series ‘The Social Psychology of Social Change: Science and Practice in Asia’ features 10 empirical studies that apply diverse social psychological theories and approaches to understand and to address a wide range of social concerns in Asian societies. The articles in the special issue align more to mainstream social psychological approaches to studying social phenomena, and as such are mainly derivative of Western social psychological paradigms, with the exception of a couple of studies that adopt emic indigenous approaches. Nevertheless, the various studies display a clear motivation to use social psychology to engage particular societal concerns, representing incremental progress towards using social psychology in the service of social change.

scholarly journals Towards Circular Social Housing: An Exploration of Practices, Barriers, and Enablers

2021 ◽  
Vol 13 (4) ◽  
pp. 2100
Author(s):  
Sultan Çetin ◽  
Vincent Gruis ◽  
Ad Straub
Keyword(s):  
Asset Management ◽  
Social Housing ◽  
Best Practice ◽  
Housing Stock ◽  
Business Case ◽  
Research Field ◽  
Financial Barriers ◽  
The Social ◽  
Wide Range ◽  
Circular Flows

The concept of Circular Economy (CE) and its application in the built environment is an emerging research field. Scholars approach CE from various perspectives covering a wide range of topics from material innovation to city-scale application. However, there is little research on CE implementation in housing stock, particularly that which is managed or owned by the social housing organisations (SHOs) and which offers opportunities to generate circular flows of materials at the portfolio level. This research focuses on Dutch SHOs and uses the Delphi method to examine CE practices in their asset management, as well as the main barriers to and potential enablers of its uptake. The analysis of two iterative rounds of expert questioning indicates that Dutch SHOs are in the early experimental phase in CE implementation. From the results, it is evident that organisational, cultural, and financial barriers are the most pressing ones that hinder the wider adoption of CE in their asset management. Building on the panel input, this study suggests potential enablers to overcome these barriers, such as CE legislation, best practice case studies, commitment and support from the top management, and the creation of a clear business case.

scholarly journals An efficient hybrid system for anomaly detection in social networks

Cybersecurity ◽  
2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Md. Shafiur Rahman ◽  
Sajal Halder ◽  
Md. Ashraf Uddin ◽  
Uzzal Kumar Acharjee
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Network ◽  
Anomaly Detection ◽  
Research Area ◽  
Machine Learning Algorithms ◽  
Security And Privacy ◽  
Support Vector ◽  
The Social ◽  
Wide Range

AbstractAnomaly detection has been an essential and dynamic research area in the data mining. A wide range of applications including different social medias have adopted different state-of-the-art methods to identify anomaly for ensuring user’s security and privacy. The social network refers to a forum used by different groups of people to express their thoughts, communicate with each other, and share the content needed. This social networks also facilitate abnormal activities, spread fake news, rumours, misinformation, unsolicited messages, and propaganda post malicious links. Therefore, detection of abnormalities is one of the important data analysis activities for the identification of normal or abnormal users on the social networks. In this paper, we have developed a hybrid anomaly detection method named DT-SVMNB that cascades several machine learning algorithms including decision tree (C5.0), Support Vector Machine (SVM) and Naïve Bayesian classifier (NBC) for classifying normal and abnormal users in social networks. We have extracted a list of unique features derived from users’ profile and contents. Using two kinds of dataset with the selected features, the proposed machine learning model called DT-SVMNB is trained. Our model classifies users as depressed one or suicidal one in the social network. We have conducted an experiment of our model using synthetic and real datasets from social network. The performance analysis demonstrates around 98% accuracy which proves the effectiveness and efficiency of our proposed system.

scholarly journals The Social Organization of Merchants’ Activities. An Interactionist Study of Urban Marketplaces

2020 ◽  
Vol 16 (4) ◽  
pp. 106-121
Author(s):  
Lukasz Marciniak
Keyword(s):  
Social Action ◽  
Spatial Separation ◽  
Social Contexts ◽  
Social Phenomena ◽  
Primary Activity ◽  
The Social ◽  
Wide Range ◽  
And Performance ◽  
The One ◽  
Large Research

The article briefly presents the empirical results of a large research project focused on Polish urban marketplaces, commonly known as bazaars, and their interactional order. Due to the spatial separation and legal regulations concerning bazaar trade, a relatively constant community of market vendors is created in the area of the particular marketplace. The primary activity of each merchant is to offer and sell goods; however, the specificity of marketplace trade results in the necessity to maintain relationships with other vendors to keep this primary activity going. Thus, the activities of merchants are carried out in the same direction for both economic results and performance (sales and profit) and social action, that is, building and managing relations with vendors operating in the same marketplace. A wide range of activities and interaction strategies is developed that create an order of interactions between vendors, both in terms of perceiving and assigning meanings, interpreting, and taking actions. The consequences of such an interactional foundation affect the economic layer of the market, embedding, on the one hand, economic phenomena in social phenomena, and, on the other hand, generating paradoxes of prices and competition—the two economic concepts that cannot be analyzed without their social contexts.

scholarly journals Solving the social problems of a modern young family through social work

2021 ◽  
Vol 7 (Extra-A) ◽  
pp. 287-292
Author(s):  
Yanina V. Shimanovskaya ◽  
Alexander S. Sarychev ◽  
Mihail V. Firsov ◽  
Galina P. Medvedeva ◽  
Natalia P. Konstantinova
Keyword(s):  
Social Work ◽  
Social Workers ◽  
Social Worker ◽  
Social Problems ◽  
Russian Society ◽  
The Social ◽  
Wide Range ◽  
Social Technologies ◽  
Young Family ◽  
Social Difficulties

The article explores the problem of training future social workers to study the social difficulties arising in young families, as well as to use the social technologies for resolving said difficulties under the current conditions of the development of Russian society. A wide range of technologies implemented by a social worker in working with a young family to improve the effectiveness of the realization of its potential is provided.

scholarly journals Social Network Analysis, Ethics and LGPD, considerations in research

2021 ◽  
Vol 14 (2) ◽  
pp. 28-52
Author(s):  
Luiz Paulo Carvalho ◽  
Jonice Oliveira ◽  
Flávia Maria Santoro ◽  
Claudia Cappelli
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Construction ◽  
Personal Data ◽  
Research Area ◽  
Research Field ◽  
Data Driven ◽  
Brazilian Society ◽  
The Social

Data protection and data-driven solutions are two progressing areas permeating Brazilian society. This work presents an interdisciplinary theoretical approach related to Ethics, from the ethics in computing perspective; the LGPD, from the Law studies perspective; and the Social Network Analysis in Brazil, from the Informatics perspective. This research area utilizes personal data extensively for knowledge construction, with semantic contributions, analyzing the reality; or pragmatic, building artifacts. Challenges and inseparable issues are observed, exposed, and debated in this work. We present considerations combining the three topics, personal data in the research field of social networks in Brazil respecting the LGPD and ethics precepts.

Meeting at Grand Central

2012 ◽  
Author(s):  
Lee Cronk ◽  
Beth L. Leech
Keyword(s):  
Collective Action ◽  
Division Of Labor ◽  
Life Sciences ◽  
Air Traffic ◽  
Common Pool Resource ◽  
Social Phenomena ◽  
Slave Rebellions ◽  
The Social ◽  
Wide Range ◽  
The Relationship

This chapter summarizes the book's findings regarding cooperation, coordination, and collective action as well as adaptation and the role that organizations play in fostering cooperation. It first considers four vignettes, each highlighting a contrast between a situation in which cooperation did occur and one in which it did not: water as a common-pool resource, grassroots justice in Tanzania, slave rebellions, and coordinated and uncoordinated air traffic. It then offers some observations regarding the relationship between the social and life sciences, with particular emphasis on consilience, emergence, and the scientific division of labor. The chapter explains how consilience is made possible by emergence and cites the study of cooperation as an excellent example of how the division of labor among the sciences can lead to a wide range of complementary insights regarding specific social phenomena.

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