Social Networks, Their Basic Factors, as Well as Their Role in Society and the State in the Context of Digital Transformation

2020 ◽  
Vol 144 ◽  
pp. 26-35
Author(s):  
Rem V. Ryzhov ◽  
◽  
Vladimir A. Ryzhov ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Life Support ◽  
Social Institutions ◽  
The State ◽  
Main Task ◽  
Organizational Models ◽  
Control Center ◽  
The Social ◽  
Single Strategy

Society is historically associated with the state, which plays the role of an institution of power and government. The main task of the state is life support, survival, development of society and the sovereignty of the country. The main mechanism that the state uses to implement these functions is natural social networks. They permeate every cell of society, all elements of the country and its territory. However, they can have a control center, or act on the principle of self-organization (network centrism). The web is a universal natural technology with a category status in science. The work describes five basic factors of any social network, in particular the state, as well as what distinguishes the social network from other organizational models of society. Social networks of the state rely on communication, transport and other networks of the country, being a mechanism for the implementation of a single strategy and plan. However, the emergence of other strong network centers of competition for state power inevitably leads to problems — social conflicts and even catastrophes in society due to the destruction of existing social institutions. The paper identifies the main pitfalls using alternative social networks that destroy the foundations of the state and other social institutions, which leads to the loss of sovereignty, and even to the complete collapse of the country.

scholarly journals Rumour prevention in social networks with layer 2 blockchains

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Subhasis Thakur ◽  
John G. Breslin
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
State Of The Art ◽  
Privacy Preserving ◽  
The State ◽  
Media Content ◽  
The Social ◽  
Layer 2 ◽  
Art Methods

AbstractSocial bots can cause social, political, and economical disruptions by spreading rumours. The state-of-the-art methods to prevent social bots from spreading rumours are centralised and such solutions may not be accepted by users who may not trust a centralised solution being biased. In this paper, we developed a decentralised method to prevent social bots. In this solution, the users of a social network create a secure and privacy-preserving decentralised social network and may accept social media content if it is sent by its neighbour in the decentralised social network. As users only choose their trustworthy neighbours from the social network to be part of its neighbourhood in the decentralised social network, it prevents the social bots to influence a user to accept and share a rumour. We prove that the proposed solution can significantly reduce the number of users who are share rumour.

Factors in the Fight against Corruption in the Context of Civil Society and the Rule of Law

2019 ◽  
Vol 10 (7) ◽  
pp. 2082
Author(s):  
Tetiana S. PODOROZHNA ◽  
Vitalii A. VDOVICHEN ◽  
Liudmyla V. VAKARIUK
Keyword(s):  
Civil Society ◽  
Social Institutions ◽  
The State ◽  
Legal Consciousness ◽  
Main Task ◽  
Political Will ◽  
Social Partnership ◽  
The Rule Of Law ◽  
Political Relations ◽  
The Social

The research analyzes the main conditions by having which the state is able to fight against corruption. The preconditions and means of fight against corruption are determined; the results of their implementation in life are considered based on the examples of some countries, namely, availability of effective legislation, political will of the state, specialized bodies of fight against corruption, the establishment of civil society. It is noted that the fight against corruption is the management through a developed network of social institutions created on the basis of ‘participatory democracy’, that is, the interaction of personality, society and state on the principles of social partnership. This concept refers to a complex of political relations and technologies, which establishes public supervision over the activities of state authorities. At the same time, the latter requires a political will to fight against corruption, the legislative provision of this fight and the strict implementation of the adopted legislative acts. The main task for the civil society structures in the fight against corruption is the implementation of public participation in the process of preparing, discussing, adopting and monitoring the implementation of power decisions. Corruption as a systemic problem in Ukraine, demoralizing society, generates such a negative phenomenon of legal consciousness as legal nihilism in the social environment.  

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

The Oxford Handbook of Social Networks

2020 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Information Science ◽  
Computational Social Science ◽  
The Social ◽  
Diverse Field ◽  
The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

Comparing the social networks of service users with long term mental health needs living in community with those in a general adult in-patient unit

2021 ◽  
pp. 002076402110175
Author(s):  
Roberto Rusca ◽  
Ike-Foster Onwuchekwa ◽  
Catherine Kinane ◽  
Douglas MacInnes
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Network ◽  
Patient Group ◽  
Mental Health Problems ◽  
Well Being ◽  
Health Problems ◽  
Practical Support ◽  
The Social

Background: Relationships are vital to recovery however, there is uncertainty whether users have different types of social networks in different mental health settings and how these networks may impact on users’ wellbeing. Aims: To compare the social networks of people with long-term mental illness in the community with those of people in a general adult in-patient unit. Method: A sample of general adult in-patients with enduring mental health problems, aged between 18 and 65, was compared with a similar sample attending a general adult psychiatric clinic. A cross-sectional survey collected demographic data and information about participants’ social networks. Participants also completed the Short Warwick Edinburgh Mental Well-Being Scale to examine well-being and the Significant Others Scale to explore their social network support. Results: The study recruited 53 participants (25 living in the community and 28 current in-patients) with 339 named as important members of their social networks. Both groups recorded low numbers in their social networks though the community sample had a significantly greater number of social contacts (7.4 vs. 5.4), more monthly contacts with members of their network and significantly higher levels of social media use. The in-patient group reported greater levels of emotional and practical support from their network. Conclusions: People with serious and enduring mental health problems living in the community had a significantly greater number of people in their social network than those who were in-patients while the in-patient group reported greater levels of emotional and practical support from their network. Recommendations for future work have been made.

scholarly journals The switching mechanisms of social network densification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Context ◽  
Social Interactions ◽  
Regime Switching ◽  
Face To Face ◽  
The Social ◽  
Switching Property ◽  
Distinctive Type ◽  
Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

Devbans, Caste, Gender and the State:Political Ecology of a Sacred Grove of Himachal Pradesh

2021 ◽  
pp. 239448112110203
Author(s):  
Supriya Rani ◽  
Neera Agnimitra
Keyword(s):  
Decision Making ◽  
Political Ecology ◽  
Social Institutions ◽  
Himachal Pradesh ◽  
The State ◽  
The Political ◽  
Power Dynamics ◽  
Sacred Grove ◽  
Probability Of Survival ◽  
The Social

Devbans are the parts of forest territory that have been traditionally conserved in reverence to the local deities in various parts of Himachal Pradesh. Today, they stand at the intersection of tradition and modernity. This paper endeavours to study the political ecology of a Devban in the contemporary times by looking at the power dynamics between various stakeholders with respect to their relative decision making power in the realm of managing the Devban of Parashar Rishi Devta. It further looks at howcertain political and administrative factors can contribute towards the growth or even decline of any Devban. The study argues that in the contemporary times when the capitalist doctrines have infiltrated every sphere of the social institutions including the religion, Devbans have a greater probability of survival when both the state and the community have shared conservatory idealsand powers to preserve them.

MODERN PROBLEMS OF FORMING THE DISCOURSE IN THE PHILOSOPHY OF SOCIAL SECURITY

2020 ◽  
Vol 26 (10) ◽  
pp. 51-59
Author(s):  
S. Kononov ◽  
Keyword(s):  
Social Security ◽  
Security Policy ◽  
Social Institutions ◽  
The State ◽  
Point Of View ◽  
Philosophical Discussion ◽  
Protection Measures ◽  
Leading Role ◽  
Role Of The State ◽  
The Social

The article is devoted to the analysis of the problems of a social security modern discourse formation in the framework of a philosophical discussion of the transformation processes of the formation vector of the state security policy. The task of the article, according to the author, is to present the problem of security in conditions when it ceases to be understood, as a concept associated with the idea of preserving the integrity of a state or nation, and functions as a phenomenon with the broadest possible social parameters. Using the methodology of phenomenological, hermeneutic and comparative analysis, the new areas of security research, common difference of which is social and personal orientation are analyzed. The author pays attention to the features of the methodology of works reflecting the point of view of the modern state, works related to the development of a systematic approach to security, works based on an axiological approach and concludes that, despite the expansion of security interpretations, all these approaches retain a common ideological foundation. presupposing the need to preserve the leading role of the state in the field of social security, including the security of the individual and society and the state. All these approaches are based on the policy of responding to emerging threats to the Russian state and do not reflect the needs of a comprehensive strategic goal-setting covering the sphere of socio-economic development of the social system. This circumstance, according to the author, leads to the formation of a security strategy that exists only in the name of protecting the state and does not imply feedback between the state and the social institutions that the state is going to protect, which leads to the ineffectiveness of modern protection measures and the need to find new ways to justify the need for this protection, a new definition of its content and essence

Factors Affecting Individual Level ERP Assimilation in a Social Network Perspective

2017 ◽  
Vol 25 (3) ◽  
pp. 21-39 ◽  
Author(s):  
Luan Gao ◽  
Luning Liu ◽  
Yuqiang Feng
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Interactive Learning ◽  
Influential Factors ◽  
Three Dimensions ◽  
Organizational Level ◽  
Key Factors ◽  
Factors Affecting ◽  
Individual Level ◽  
The Social

Prior research on ERP assimilation has primarily focused on influential factors at the organizational level. In this study, the authors attempt to extend their understanding of individual level ERP assimilation from the perspective of social network theory. They designed a multi-case study to explore the relations between ERP users' social networks and their levels of ERP assimilation based on the three dimensions of the social networks. The authors gathered data through interviews with 26 ERP users at different levels in five companies. Qualitative analysis was used to understand the effects of social networks and interactive learning. They found that users' social networks play a significant role in individual level ERP assimilation through interactive learning among users. They also found five key factors that facilitate users' assimilation of ERP knowledge: homophily (age, position and rank), tie content (instrumental and expressive ties), tie strength, external ties, and centrality.

scholarly journals Research on Sentiment Tendency and Evolution of Public Opinions in Social Networks of Smart City

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Yanni Liu ◽  
Dongsheng Liu ◽  
Yuwei Chen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Sentiment Analysis ◽  
Smart City ◽  
Topic Model ◽  
Rapid Development ◽  
Mobile Internet ◽  
Time Curve ◽  
Public Opinions ◽  
The Social

With the rapid development of mobile Internet, the social network has become an important platform for users to receive, release, and disseminate information. In order to get more valuable information and implement effective supervision on public opinions, it is necessary to study the public opinions, sentiment tendency, and the evolution of the hot events in social networks of a smart city. In view of social networks’ characteristics such as short text, rich topics, diverse sentiments, and timeliness, this paper conducts text modeling with words co-occurrence based on the topic model. Besides, the sentiment computing and the time factor are incorporated to construct the dynamic topic-sentiment mixture model (TSTS). Then, four hot events were randomly selected from the microblog as datasets to evaluate the TSTS model in terms of topic feature extraction, sentiment analysis, and time change. The results show that the TSTS model is better than the traditional models in topic extraction and sentiment analysis. Meanwhile, by fitting the time curve of hot events, the change rules of comments in the social network is obtained.

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