Climate-smart Agricultural Practices in Agro-climatic Zones of Meghalaya: A Social Network Analysis

Aims: To understand the flow of information of Climate Smart Agricultural (CSA) practices among the farmers, the factors that impede this flow and the impact of the social network on adapting CSA practices. Place and Duration of Study: The study was conducted in hilly state, Meghalaya, India between August 2016 and April 2017. Methodology: A sample of 120 farmers was selected from agriculturally vulnerable villages to climate change by snowball sampling. The villages were selected from two Agro-climatic zones (ACZs) of the state, Meghalaya. UCINET software was utilised for analysing the Social Network Analysis (SNA) of the community with the performance index used to measure the impact in adopting CSA practices. Results: The network centralization index obtained in Tropical ACZ was relatively high (0.63) depicting a fragile social network as farmers relied on certain central actors for information and if these actors were to be removed, many farmers would be left isolated. However, in Sub-tropical ACZ, a low index (0.37) was attained implying that farmers had maximum connections in the network. Very low cohesion density measures (<0.05) was obtained in both the ACZs portraying a slow rate of diffusion of information on CSA in the farming community. Further, the homophily index of SNA indicated that the farmers tend to associate more with other farmers having similar socio-economic characteristics. The impact of the social networks in both of the ACZs were highest (68.30%) under low, and (63.30%) under the medium adoption levels of CSA practices in Tropical and Sub-tropical ACZs. Conclusion: Hence improving access to climate information is an important step to improve the livelihood of people in such variable conditions. With a better understanding of the social factors that influence the flow of knowledge and the adoption of CSA practices in the agricultural sector, researchers and policy makers could be able to identify and reduce barriers to technology diffusion and adoption.

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Measuring the Impact of Social Media

Social Knowledge ◽

10.4018/978-1-60960-203-1.ch002 ◽

2011 ◽

pp. 24-36 ◽

Cited By ~ 8

Author(s):

Kimiz Dalkir

Keyword(s):

Social Media ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Evaluation Method ◽

Real Life ◽

Work Processes ◽

The Social ◽

Post Test ◽

The Impact

This chapter focuses on a method, social network analysis (SNA) that can be used to assess the quantity and quality of connection, communication and collaboration mediated by social tools in an organization. An organization, in the Canadian public sector, is used as a real-life case study to illustrate how SNA can be used in a pre-test/post-test evaluation design to conduct a comparative assessment of methods that can be used before, during and after the implementation of organizational change in work processes. The same evaluation method can be used to assess the impact of introducing new social media such as wikis, expertise locator systems, blogs, Twitter and so on. In other words, while traditional pre-test/post-test designs can be easily applied to social media, the social media tools themselves can be added to the assessment toolkit. Social network analysis in particular is a good candidate to analyze the connections between people and content as well as people with other people.

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Introduction

Advances in Computer and Electrical Engineering - Applied Social Network Analysis With R ◽

10.4018/978-1-7998-1912-7.ch001 ◽

2020 ◽

pp. 1-29

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Social Structure ◽

Research Methods ◽

The Other ◽

Traditional Research ◽

The Social ◽

Social Realm ◽

The Impact

The traditional research approaches common in different disciplines of social sciences centered around one half of the social realm: the actors. The other half are the relations established by these actors and forming the basis of “social.” The social structure shaped by these relations, the position of the actor within this structure, and the impact of this position on the actor are mostly excluded by the traditional research methods. In this chapter, the authors introduce social network analysis and how it complements the other methods.

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Measuring the value of the social network: analysis, quantitative approach, and application

10.7287/peerj.preprints.1154v1 ◽

2015 ◽

Author(s):

Sujata Jindal ◽

Ritu Sindhu

Keyword(s):

Social Networks ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Social Impact ◽

Quantitative Approach ◽

Social Data ◽

The Social ◽

The Impact ◽

Day By Day

Social networks are growing day by day. Users of the social networks are generating values for these networks. All the users can’t be considered equal as they have different social network impact value. In this paper we analyze the social impact of a user and propose a method to estimate an individual’s worth to a social network in terms of impact. The mathematical evaluations show the effectiveness of our method. Based on the proposed method many applications can be built taking into consideration the impact any individual’s social profile has. We have tried to make various social data attributes more valuable and meaningful.

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Measuring the value of the social network: analysis, quantitative approach, and application

10.7287/peerj.preprints.1154 ◽

2015 ◽

Author(s):

Sujata Jindal ◽

Ritu Sindhu

Keyword(s):

Social Networks ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Social Impact ◽

Quantitative Approach ◽

Social Data ◽

The Social ◽

The Impact ◽

Day By Day

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Social Network Analysis of Alzheimer’s Teams: A Clinical Review and Applications in Psychiatry to Explore Interprofessional Care

Current Alzheimer Research ◽

10.2174/1567205018666210701161449 ◽

2021 ◽

Vol 18 ◽

Author(s):

Carlo Lazzari ◽

Yasuhiro Kotera ◽

Pauline Green ◽

Marco Rabottini

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Patient Care ◽

Psychiatric Hospitals ◽

Geriatric Psychiatry ◽

Team Members ◽

Interprofessional Teams ◽

The Social ◽

The Impact

Introduction: Understanding the social networks of professionals in psychiatric hospitals and communities working with persons with Alzheimer’s (PWA) disease helps tackle the flow of knowledge in patient care and the centrality of team members in providing information and advice to colleagues. Objectives: To use Social Network Analysis (SNA) to confirm or reject the hypothesis that psychiatric professionals have equal status in sharing information and advice on the care of PWA and have reciprocal ties in a social network. Methods: The sample consisting of 50 psychiatric professionals working in geriatric psychiatry in the UK completed an anonymous online survey asking them to select the professional categories of the colleagues in the interprofessional team who are most frequently approached when providing or receiving advice about patient care and gathering patient information. SNA is both a descriptive qualitative analysis and a quantitative method that investigates the degree of the prestige of professionals in their working network and the reciprocity of their ties with other team members. Findings: The social network graphs and numerical outcomes showed that interprofessional teams in geriatric psychiatry have health carers who play central roles in providing the whole team with the knowledge necessary for patient care; these are primarily senior professionals in nursing and medical roles. However, the study reported that only 13% of professionals had reciprocal ties within teams. Conclusion: The current research findings show that the impact of psychiatric health carers in interprofessional teams caring for PWA is not evenly distributed. Those with apparently higher seniority and experience are more frequently consulted; however, other more peripheral figures can be equally valuable in integrated care.

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Spatial structure of urban agglomeration under the impact of high-speed railway construction: Based on the social network analysis

Sustainable Cities and Society ◽

10.1016/j.scs.2020.102404 ◽

2020 ◽

Vol 62 ◽

pp. 102404

Author(s):

Peifeng Zhang ◽

Yaoyang Zhao ◽

Xinhua Zhu ◽

Ziwei Cai ◽

Jingxian Xu ◽

...

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Spatial Structure ◽

High Speed ◽

Urban Agglomeration ◽

High Speed Railway ◽

Railway Construction ◽

The Social ◽

The Impact

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Duality beyondPersons and Groups

The Oxford Handbook of Social Networks ◽

10.1093/oxfordhb/9780190251765.013.9 ◽

2020 ◽

pp. 391-413

Author(s):

Sophie Mützel ◽

Ronald Breiger

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Network Data ◽

Future Directions ◽

Affiliation Networks ◽

The Social ◽

Recent Developments ◽

Principle Of Duality ◽

Seminal Article

This chapter focuses on the general principle of duality, which was originally introduced by Simmel as the intersection of social circles. In a seminal article, Breiger formalized Simmel’s idea, showing how two-mode types of network data can be transformed into one-mode networks. This formal translation proved to be fundamental for social network analysis, which no longer needed data on who interacted with whom but could work with other types of data. In turn, it also proved fundamental for the analysis of how the social is structured in general, as many relations are dual (e.g. persons and groups, authors and articles, organizations and practices), and are thus susceptible to an analysis according to duality principles. The chapter locates the concept of duality within past and present sociology. It also discusses the use of duality in the analysis of culture as well as in affiliation networks. It closes with recent developments and future directions.

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The Oxford Handbook of Social Networks

10.1093/oxfordhb/9780190251765.001.0001 ◽

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.

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