scholarly journals Social networks influence farming practices and agrarian sustainability

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0244619
Author(s):  
Amaia Albizua ◽  
Elena M. Bennett ◽  
Guillaume Larocque ◽  
Robert W. Krause ◽  
Unai Pascual
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Land Management ◽  
Agricultural Intensification ◽  
Large Scale ◽  
Management Practices ◽  
Farming Community ◽  
Social Ecological ◽  
The Social ◽  
The Impact

The social-ecological effects of agricultural intensification are complex. We explore farmers’ perceptions about the impacts of their land management and the impact of social information flows on their management through a case study in a farming community in Navarra, Spain, that is undergoing agricultural intensification due to adoption of large scale irrigation. We found that modern technology adopters are aware that their management practices often have negative social-ecological implications; by contrast, more traditional farmers tend to recognize their positive impacts on non-material benefits such as those linked with traditions and traditional knowledge, and climate regulation. We found that farmers’ awareness about nature contributions to people co-production and their land management decisions determine, in part, the structure of the social networks among the farming community. Since modern farmers are at the core of the social network, they are better able to control the information flow within the community. This has important implications, such as the fact that the traditional farmers, who are more aware of their impacts on the environment, rely on information controlled by more intensive modern farmers, potentially jeopardizing sustainable practices in this region. We suggest that this might be counteracted by helping traditional farmers obtain information tailored to their practices from outside the social network.

scholarly journals LIFE ON DISPLAY: WHY IT IS IMPORTANT TO EXPOSE YOUR ACTIONS ON THE SOCIAL NETWORK

2021 ◽  
Vol 6(72) (4) ◽  
pp. 41-48
Author(s):  
A. E. Starchenko ◽  
M. V. Semina
Keyword(s):  
Higher Education ◽  
Social Networks ◽  
Social Network ◽  
Reference Group ◽  
Human Life ◽  
Sociological Study ◽  
The Social ◽  
Personal Accounts ◽  
The Impact ◽  
To Receive

Social networks have emerged relatively recently in human life, but have already become an integral part of it. Companies tell about themselves, their activities, innovations, promotions and events in their profiles. This helps increase audience coverage, tell more about your brand, products, services. People in personal accounts have the opportunity to share their lives and creativity through photos, videos and texts. Now it is not necessary to receive higher education to become an operator, director or actor whose talent is recognized by society. It is enough to start a page on the social network and start sharing your knowledge and creativity. To find out why people post photos, videos and write texts on their social networks, a pilot sociological study was carried out. The method of deep interview with active users of social networks was chosen to carry out the study. The interview allowed getting unique information, to learn the opinion of users about social networks, the impact of the new way of communication on their life, to identify the reasons why users start and maintain profiles. The respondents were 20 users of social networks between the ages of 19 and 22. Interviewees have profiles on the most popular Instagram and Vkontakte networks. As a result of the analysis of the interview, a tendency was revealed to differ in the perception of users of their actions on the social network and similar actions of other users. Their content is perceived by them as opportunities to be in sight, as a resource to form their social status and an element of influence on their reference group. And the same content published by others is perceived as boasting.

The Impact of Social Networks on Science Students' Academic Performance in Ondo State Senior Secondary Schools, Nigeria

2021 ◽  
pp. 50-63
Author(s):  
Jethro Oludare OLOJO
Keyword(s):  
Social Networks ◽  
Academic Performance ◽  
Social Network ◽  
Science Students ◽  
The Social ◽  
Ondo State ◽  
Research Questions ◽  
Senior Secondary Schools ◽  
Senior Secondary ◽  
The Impact

The objective of this study was to examine the impact of social network usage on science students’ academic achievements in Ondo State’s senior secondary schools. The study was also to find the extent to which students under investigation used the social network platforms and the frequencies of their visits. In order to achieve this, a structured questionnaire was designed and administered to students from the three senatorial districts that made up the state. A multistage; which involved simple random and purposive sampling approaches was used to select the sample for the study. 150 copies of the questionnaire were distributed; out of which, 148 (98.78%) copies were returned. For the study, four research questions and two research hypotheses were developed. The hypotheses were assessed using the student's - t statistic at 0.05 significant level; using SPSS version 20 while the research questions formulated were evaluated using frequency counts and percentages. The study revealed that Ondo State senior secondary school science students can efficiently use the social network platforms for academic activities with male students being more proficient than their female counterparts. The study also revealed that the usage of social networks has assisted students to improve their academic performance; irrespective of their classes. Besides, the study showed that Facebook was the most popular of all the social network platforms. To this end, the researcher recommended that teachers, parents, and guidance should monitor the activities of their wards on the social network sites so that they can use the platforms to benefit their lots. Teachers should also use the advantage of students’ exposure to social networking to change their teaching methods from traditional one to online teaching.

scholarly journals Detecting the Influencer on Social Networks Using Passion Point and Measures of Information Propagation †

2020 ◽  
Vol 12 (7) ◽  
pp. 3064 ◽  
Author(s):  
Tai Huynh ◽  
Hien Nguyen ◽  
Ivan Zelinka ◽  
Dac Dinh ◽  
Xuan Hau Pham
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Marketing Strategy ◽  
Online Social Network ◽  
Modern Method ◽  
Information Propagation ◽  
The Social ◽  
User Data ◽  
The Impact ◽  
Positive Results

Influencer marketing is a modern method that uses influential users to approach goal customers easily and quickly. An online social network is a useful platform to detect the most effective influencer for a brand. Thus, we have an issue: how can we extract user data to determine an influencer? In this paper, a model for representing a social network based on users, tags, and the relationships among them, called the SNet model, is presented. A graph-based approach for computing the impact of users and the speed of information propagation, and measuring the favorite brand of a user and sharing the similar brand characteristics, called a passion point, is proposed. Therefore, we consider two main influential measures, including the extent of the influence on other people by the relationships between users and the concern to user’s tags, and the tag propagation through social pulse on the social network. Based on these, the problem of determining the influencer of a specific brand on a social network is solved. The results of this method are used to run the influencer marketing strategy in practice and have obtained positive results.

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

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.

scholarly journals Functional brain network architecture supporting the learning of social networks in humans

2019 ◽  
Author(s):  
Steven Tompson ◽  
Ari E Kahn ◽  
Emily B. Falk ◽  
Jean M Vettel ◽  
Danielle S Bassett
Keyword(s):  
Social Networks ◽  
Community Structure ◽  
Social Network ◽  
Brain Network ◽  
Temporoparietal Junction ◽  
Functional Brain ◽  
Network Learning ◽  
Functional Brain Network ◽  
The Social ◽  
The Impact

Most humans have the good fortune to live their lives embedded in richly structured social groups. Yet, it remains unclear how humans acquire knowledge about these social structures to successfully navigate social relationships. Here we address this knowledge gap with an interdisciplinary neuroimaging study drawing on recent advances in network science and statistical learning. Specifically, we collected BOLD MRI data while participants learned the community structure of both social and non-social networks, in order to examine whether the learning of these two types of networks was differentially associated with functional brain network topology. From the behavioral data in both tasks, we found that learners were sensitive to the community structure of the networks, as evidenced by a slower reaction time on trials transitioning between clusters than on trials transitioning within a cluster. From the neuroimaging data collected during the social network learning task, we observed that the functional connectivity of the hippocampus and temporoparietal junction was significantly greater when transitioning between clusters than when transitioning within a cluster. Furthermore, temporoparietal regions of the default mode were more strongly connected to hippocampus, somatomotor, and visual regions during the social task than during the non-social task. Collectively, our results identify neurophysiological underpinnings of social versus non-social network learning, extending our knowledge about the impact of social context on learning processes. More broadly, this work offers an empirical approach to study the learning of social network structures, which could be fruitfully extended to other participant populations, various graph architectures, and a diversity of social contexts in future studies.

scholarly journals POSITIONING OF THE LIBRARY IN THE YOUTH INTERNET ENVIRONMENT

2021 ◽  
pp. 23-32
Author(s):  
Nataliia Vovk ◽  
Sofia Zhavoronko
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Public Libraries ◽  
Information Support ◽  
Access To Information ◽  
Problem Statement ◽  
The Social ◽  
Internet Environment ◽  
Support Methods ◽  
The Impact

The purpose of the article is to study the organizational aspects of advertising and information presentation of modern public libraries on the Internet. The main tasks of the work are the research of the state of the problem studying; analysis of the peculiarities of the modern libraries’ representation in cyberspace; research of advertising and information support methods of the regional library; creating and filling the library's Instagram page. The methodology uses the tools of the modeling method: problem statement, creation, and analysis of the model. The application of the integrity principles, hierarchy, and structure makes it possible to consider the library's page on the social network Instagram as part of the library promotion. The scientific novelty of the work is the expansion of theoretical knowledge and practical skills in presenting the libraries’ activities in social networks and the impact of the latter on the involvement of young people in libraries. The article considers the main aspects of popularization of the regional library in the social network Instagram. Conclusions. The study showed that by using social networks as a tool for presentation in cyberspace, library institutions promptly inform visitors about current library news, provide round-the-clock access to information resources and provide remote reference and information services.

scholarly journals The technology of social networks and people management in the recruitment and selection of its employees

2021 ◽  
pp. 74-90
Author(s):  
Ramiro Rodrigues Sumar
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Scientific Evidence ◽  
Face To Face ◽  
The Social ◽  
Recruitment And Selection ◽  
The Impact ◽  
A Company ◽  
Virtual Mode ◽  
Selection Of

Objective: To describe the impact that social networks can have on the recruitment and selection of their employees. Question Problem: How can the social network favor the recruitment and selection of employees of a company? Methodology: Literature review. Results: The evidence of the results showed that technologies through social networks can be relevant for the recruitment and selection of people for the organization. But this recruitment should be done with a differentiated look at each type of social network by the recruiter. Final Considerations: Recruitment and selection have been changing as a traditional (face-to-face) way for the technological (virtual) mode. The study mentioned that social networks are tools capable of bringing to the recruiter candidates able to take the organization responsibly and that there are no barriers in the virtual world to find the ideal candidate. It is emphasized the importance of extending this study based on scientific evidence, in which research can be carried out in companies for the use of social networks in the monitoring of their employees.

scholarly journals USE OF SOCIAL NETWORKS FOR THE TRAINING OF FUTURE TEACHERS IN EARLY CHILDHOOD EDUCATION

2021 ◽  
Author(s):  
Mercedes Llorent-Vaquero ◽  
◽  
África M. Cámara-Estrella ◽  
Elena M. Díaz-Pareja ◽  
Juana M. Ortega-Tudela
Keyword(s):  
Social Networks ◽  
Early Childhood ◽  
Social Network ◽  
Early Childhood Education ◽  
Educational Innovation ◽  
Educational Process ◽  
Quantitative Methodology ◽  
Childhood Education ◽  
The Social ◽  
The Impact

Currently, social networks have a great potential in the educational field, being useful to promote motivation, the active role of students, communication or flexibility in time and space, among others. In this line, this paper shows an experience of educational innovation in higher education mediated by the use of social networks. Specifically, the social network Instagram was used with students in the second year of the Early Childhood Education Degree at the University of Jaen. The objective of this study was to analyze the impact of the use of social networks on aspects related to the quality of the educational process, such as motivation, creativity, communication or monitoring. In order to respond to the proposed objective, a quantitative methodology was used, with a descriptive method and a survey design. The data collection instrument was a student questionnaire through which the impact of the use of the social network Instagram in the teaching-learning process was evaluated. The results point to a positive effect of the use of social networks on the variables under study. It should be noted how the use of this social network has influenced the motivation towards their learning and the communication processes that were developed with all those involved.

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

2019 ◽  
pp. 1-8
Author(s):  
Alethea Dympep ◽  
R. J. Singh ◽  
L. Hemochandra ◽  
R. Singh
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Agricultural Sector ◽  
Agricultural Practices ◽  
Snowball Sampling ◽  
Climatic Zones ◽  
Farming Community ◽  
The Social ◽  
The Impact

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.

Clean up your network: how a strike changed the social networks of a working team

2018 ◽  
Vol 24 (1/2) ◽  
pp. 43-63 ◽  
Author(s):  
Kirsten Thommes ◽  
Agnes Akkerman
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Relations ◽  
Content Type ◽  
Team Conflict ◽  
Qualitative And Quantitative ◽  
Work Related ◽  
The Social ◽  
The Impact ◽  
Practical Implications

Purpose This paper aims to analyse the impact of an intra-team conflict on the social relations within a team. The team conflict was triggered by a strike action which separated the team in two groups, the strikers and the worker, who continued to work. After the strike was settled, all had to work again cooperatively. This paper analyses how the strike action affects work and private social networks among workers. Design/methodology/approach The authors combine a qualitative ethnographic approach with quantitative network data. Findings The authors find that the strike action led to a separation between the former group of strikers and non-strikers. While the subgroups become more cohesive and their social network density increased, the links between both groups diminished. Research limitations/implications This study reveals that strikes and the accompanying separation of the workforce can improve social relations within the team, if individuals behaved alike during the conflict. Practical implications For managers, the results raise questions concerning typical managerial behaviour during strikes, as managers frequently trigger separation by trying to convince some individuals to continue to work. Instead, groups may even improve their performance after a strike, if they were allowed to behave alike by all joining the strike or refraining. Originality/value This study is the first to analyse social relations after a conflict. The authors combine qualitative and quantitative data and show the evolution of a social network after a strike. Moreover, they separate private communication flows and work-related communication and show that both networks do not necessarily evolve equally after a conflict.

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