Social Network: A New Perspective on Independence and Illiterate Adults

1983 ◽  
Vol 33 (3) ◽  
pp. 133-146 ◽  
Author(s):  
Arlene Fingeret
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Participant Observation ◽  
Urban Setting ◽  
Social Structures ◽  
Literacy Programs ◽  
Interdependent Networks ◽  
The Social ◽  
New Perspective ◽  
Illiterate Adults

This study explores the social structures illiterate adults create, and their relationship to notions of dependence and independence. In-depth unstructured interviews and participant-observation were used with 43 adults in a medium-sized northeastern urban setting. Analysis shows that illiterate adults create social networks that include readers and are characterized by mutuality. Illiterate adults contribute a range of skills to their networks and see themselves as interdependent. Networks are related to the extent to which illiterate adults are involved in the larger society; this ranges from extensive, for cosmopolitans, to minimal for local adults. Dependent adults have networks that are characterized by asymmetrical relationships. Literacy programs must learn to respond to adults-in-networks.

scholarly journals Offspring social network structure predicts fitness in families

2012 ◽  
Vol 279 (1749) ◽  
pp. 4914-4922 ◽  
Author(s):  
Nick J. Royle ◽  
Thomas W. Pike ◽  
Philipp Heeb ◽  
Heinz Richner ◽  
Mathias Kölliker
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
Conflicts Of Interest ◽  
Parus Major ◽  
Social Structures ◽  
Emergent Properties ◽  
Social Network Structure ◽  
The Social ◽  
The Individual

Social structures such as families emerge as outcomes of behavioural interactions among individuals, and can evolve over time if families with particular types of social structures tend to leave more individuals in subsequent generations. The social behaviour of interacting individuals is typically analysed as a series of multiple dyadic (pair-wise) interactions, rather than a network of interactions among multiple individuals. However, in species where parents feed dependant young, interactions within families nearly always involve more than two individuals simultaneously. Such social networks of interactions at least partly reflect conflicts of interest over the provision of costly parental investment. Consequently, variation in family network structure reflects variation in how conflicts of interest are resolved among family members. Despite its importance in understanding the evolution of emergent properties of social organization such as family life and cooperation, nothing is currently known about how selection acts on the structure of social networks. Here, we show that the social network structure of broods of begging nestling great tits Parus major predicts fitness in families. Although selection at the level of the individual favours large nestlings, selection at the level of the kin-group primarily favours families that resolve conflicts most effectively.

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.

scholarly journals THE EFFECTIVENESS IN THE USE OF INSTAGRAM IN THE PROMOTION OF B2B COMPANIES

2019 ◽  
Vol 8 (6) ◽  
Author(s):  
Aleksey A. Nikitin ◽  
Tatyana I. Nikitina ◽  
Irina M. Kravchenko
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Participant Observation ◽  
Marketing Research ◽  
Quantitative Content ◽  
The Social ◽  
Statistical Studies ◽  
Marketing Tool ◽  
Promotion Process ◽  
Business To Business

This paper contains data from statistical studies of foreign agencies on the use of social networks in promoting companies of the B2B segment (Business to business) and their effectiveness. The emphasis was placed on the social network Instagram, as it is one of the fastest-growing platforms for marketing and it has fundamental differences from other social networks. As the main methods for conducting the study, non-participant observation, monitoring of articles and results of marketing research, a comparative analysis of Instagram accounts of B2B companies and quantitative content analysis were used. It is assumed that the chosen methodology most adequately reflects the real specifics of the promotion process in the segment selected for the study. In the process of studying articles of promotion specialists on social networks, the goals of promoting B2B companies, their target audience, the main types of content and other features of maintaining an account for using the Instagram platform as an effective marketing tool were identified and described. As a result of the analysis of statistical data obtained within the framework of various large studies and successful cases on the natural promotion of Instagram accounts of world B2B companies, conclusions were drawn about the effectiveness of using the social network Instagram for the B2B segment

scholarly journals Comparison of social structures within cities of very different sizes

2016 ◽  
Vol 3 (2) ◽  
pp. 150526 ◽  
Author(s):  
P. Grindrod ◽  
T. E. Lee
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Structure ◽  
Social Structures ◽  
Twitter Data ◽  
Novel Approach ◽  
The Social ◽  
Wide Range ◽  
Virtual City

People make a city, making each city as unique as the combination of its inhabitants. However, some cities are similar and some cities are inimitable. We examine the social structure of 10 different cities using Twitter data. Each city is decomposed to its communities. We show that in many cases one city can be thought of as an amalgamation of communities from another city. For example, we find the social network of Manchester is very similar to the social network of a virtual city of the same size, where the virtual city is composed of communities from the Bristol network. However, we cannot create Bristol from Manchester since Bristol contains communities with a social structure that are not present in Manchester. Some cities, such as Leeds, are outliers. That is, Leeds contains a particularly wide range of communities, meaning we cannot build a similar city from communities outside of Leeds. Comparing communities from different cities, and building virtual cities that are comparable to real cities, is a novel approach to understand social networks. This has implications when using social media to inform or advise residents of a city.

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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