scholarly journals Determining the proximity of groups in social networks based on text analysis using big data

2019 ◽  
pp. 521-526
Author(s):  
A S Mukhin ◽  
I A Rytsarev ◽  
R A Paringer ◽  
A V Kupriyanov ◽  
D V Kirsh
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Data Collection ◽  
Text Analysis ◽  
Software Tool ◽  
Text Data ◽  
The Social ◽  
Information Research ◽  
Definition Of

The article is devoted to the definition of such groups in social networks. The object of the study was selected data social network Vk. Text data was collected, processed and analyzed. To solve the problem of obtaining the necessary information, research was conducted in the field of optimization of data collection of the social network Vk. A software tool that provides the collection and subsequent processing of the necessary data from the specified resources has been developed. The existing algorithms of text analysis, mainly of large volume, were investigated and applied.

scholarly journals Jaringan Sosial Petani dalam Distribusi Hasil Produksi Garam di Gampong Tanoh Anoe Kecamatan Jangka Kabupaten Bireuen

2021 ◽  
Vol 2 (1) ◽  
pp. 46
Author(s):  
Nailul Rahmi ◽  
Amiruddin Ketaren
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Data Analysis ◽  
Data Collection ◽  
Qualitative Methods ◽  
Participant Observation ◽  
Direct Experience ◽  
Research Results ◽  
Observation Methods ◽  
The Social

This research was conducted to see how the social network of salt farmers in distributing salt production and their efforts to maintain the existing social networks between salt farmers and distributors. The theory is based on Barry Wellman's theory of interconnecting social networks between actors. Data collection uses non-participant observation methods, namely researchers directly observe how the informants behave and gain direct experience, making it easier for researchers to perform data analysis. The analysis uses descriptive qualitative methods, namely with the aim of providing an overview of social problems through data in the form of descriptions of words or pictures. From the research results, it can be concluded that there are two forms of salt farmer network, namely the network with salt muge and the network with UD Milhy Jaya. As for the efforts to maintain the social network of salt farmers, namely by trust, increasing productivity, improving quality, and determining prices.AbstrakPenelitian ini dilakukan dengan tujuan agar dapat melihat bagaimana jaringan sosial petani garam dalam mendistribusikan hasil produksi garam dan upaya mempertahankan jaringan sosial yang sudah ada antara petani garam dengan distributornya. Teori yang menjadi landasan penelitian ini adalah teori Barry Wellman tentang jaringan sosial yang saling menghubungkan antar aktor. Pengumpulan data memakai metode observasi non-partisipan yaitu peneliti mengamati langsung bagaimana perilaku dari informan dan memperoleh pengalaman langsung sehingga memudahkan peneliti dalam melakukan analisis data. Analisis menggunakan metode kualitatif deskriptif yaitu dengan tujuan memberikan sebuah gambaran tentang masalah sosial melalui data berbentuk uraian kata-kata ataupun gambar. Dari hasil penelitian dapat disimpulkan bahwa bentuk jaringan petani garam ada dua yaitu jaringan dengan muge garam dan jaringan dengan UD Milhy Jaya. Adapun upaya mempertahankan jaringan sosial petani garam yaitu dengan kepercayaan, meningkatkan produktivitas, meningkatkan kualitas, dan penentuan harga.

Mining of Leaders in Mobile Telecom Social Networks

2016 ◽  
pp. 68-77
Author(s):  
Mantian (Mandy) Hu
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Information Diffusion ◽  
Network Data ◽  
Massive Datasets ◽  
Social Network Data ◽  
The Social ◽  
Marketing Efficiency ◽  
Mobile Telecom

In the age of Big Data, the social network data collected by telecom operators are growing exponentially. How to exploit these data and mine value from them is an important issue. In this article, an accurate marketing strategy based on social network is proposed. The strategy intends to help telecom operators to improve their marketing efficiency. This method is based on mutual peers' influence in social network, by identifying the influential users (leaders). These users can promote the information diffusion prominently. A precise marketing is realized by taking advantage of the user's influence. Data were collected from China Mobile and analyzed. For the massive datasets, the Apache Spark was chosen for its good scalability, effectiveness and efficiency. The result shows a great increase of the telecom traffic, compared with the result without leader identification.

The role of social networking in the life of under-age persons with special needs

Servis plus ◽  
10.12737/5533 ◽  
2014 ◽  
Vol 8 (3) ◽  
pp. 16-21
Author(s):  
Артур Михеев ◽  
Artur Mikheev
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Special Needs ◽  
Major Element ◽  
Social Adaptation ◽  
User Needs ◽  
The Social ◽  
Definition Of

The article present the results of research into the role of social networking in the life of under-age (aged 10–18) people with special needs (the number of respondents —120 under-age people). The aim of the research is to identify the degree of influence that social networks have on the process of social adaptation of under-age people with special needs. Each of the social networks under scrutiny was analyzed as to the user opportunities it has to offer and the user needs it can satisfy. The author also provides a definition of (1) the concept of a social network, (2) a social graph as a major element of a social network, (3) a person with special needs, and (4) population disability.

scholarly journals The Role of Social Networks in Emergency Management

2019 ◽  
Vol 10 (4) ◽  
pp. 1346
Author(s):  
Alexey SMIRNOV ◽  
Natalia BELOZEROVA ◽  
Natalia ALANICHEVA ◽  
Irina TRUBNIKOVA ◽  
Yuriy MOTORYGIN
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Emergency Management ◽  
Information Dissemination ◽  
The Social ◽  
The Russian Federation ◽  
Definition Of ◽  
The Impact

The article is focused on the impact of social networks which are becoming increasingly important for information dissemination, user-centered response and efficient coordination between residents and governmental departments at all stages of a disaster. We intend to examine the definition of ‘social network», the most important types of emergency domain-related social media, their functions and benefits. We also propose to investigate the recent activities of the Ministry of Emergencies of the Russian Federation in the sphere of emergency prevention and risk reduction via accessing the social networks pages and assessing their effectiveness.

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.

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.

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.

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