Enhancing Interactive Innovation in the Rural Areas of Europe through Evaluation: Quantitative Network Analysis and Qualitative Self-Evaluation Tools

Biological Science Instructors' Use of Self-Evaluation Tools

The American Biology Teacher ◽

10.2307/4440116 ◽

1962 ◽

Vol 24 (8) ◽

pp. 576-582

Author(s):

Ray H. Simpson

Keyword(s):

Biological Science ◽

Use Of Self ◽

Evaluation Tools ◽

Self Evaluation ◽

Science Instructors

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To Be or Not to Be a Member of a Grassroots Institution: Evidence from a Social Network Analysis in Rural Areas of Ghana

Advances in African Economic, Social and Political Development - Agricultural Supply Chains, Growth and Poverty in Sub-Saharan Africa ◽

10.1007/978-3-662-53858-6_10 ◽

2017 ◽

pp. 175-192

Author(s):

Nicolas Depetris Chauvin ◽

Guido Porto ◽

Francis Mulangu

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Rural Areas

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Nature-Based Interventions for Mental Health Care: Social Network Analysis as a Tool to Map Social Farms and their Response to Social Inclusion and Community Engagement

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16183501 ◽

2019 ◽

Vol 16 (18) ◽

pp. 3501 ◽

Cited By ~ 2

Author(s):

Marta Borgi ◽

Mario Marcolin ◽

Paolo Tomasin ◽

Cinzia Correale ◽

Aldina Venerosi ◽

...

Keyword(s):

Mental Health ◽

Health Care ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Mental Health Care ◽

Rural Areas ◽

Social Inclusion ◽

Local Communities ◽

Social Farming

Social farming represents a hybrid governance model in which public bodies, local communities, and economic actors act together to promote health and social inclusion in rural areas. Although relational variables are crucial to foster social farm performance, the relational system in which farms are embedded has still not been fully described. Using social network analysis, here we map the nature of the links of a selected sample of social farms operating in Northern Italy. We also explore possible network variations following specific actions taken to potentiate local social farming initiatives. The results show a certain degree of variability in terms of the extension and features of the examined networks. Overall, the actions taken appear to be significant to enlarge and diversify farms’ networks. Social farming has the potential to provide important benefits to society and the environment and to contrast vulnerability in rural areas. Being able to create social and economic networks of local communities, social farming may also represent an innovative way to respond to the cultural shift from institutional psychiatry to community-based mental health care. This study emphasizes the critical role played by network facilitation in diversifying actors, promoting heterogeneous relationships, and, in turn, system complexity.

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Analysing Discussions Around Rural Health on Twitter During the COVID-19 Pandemic

10.20944/preprints202109.0216.v1 ◽

2021 ◽

Author(s):

Wasim Ahmed ◽

Josep Vidal-Alaball ◽

Josep Maria Vilaseca Llobet

Keyword(s):

Social Media ◽

Social Network ◽

Network Analysis ◽

Rural Health ◽

Language Processing ◽

Rural Areas ◽

Twitter Data ◽

Public Views ◽

Share Information ◽

Insight Into

Individuals from rural areas are increasingly using social media as a means of communication, receiving information, or actively complaining of inequalities and injustices. This study captured 57 days’ worth of Twitter data from June to August 2021 related to rural health. The study utilised social network analysis and natural language processing to analyse the data. It was found that Twitter served as a fruitful platform to raise awareness of problems faced by those living in rural areas. Overall, Twitter was utilised in rural areas to express complaints, to debate, and share information. Twitter could be leveraged as a powerful social listening tool for individuals and organisations who want to gain insight into public views around rural health.

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Analysing Discussions Around Rural Health on Twitter During the COVID-19 Pandemic

10.20944/preprints202109.0216.v2 ◽

2021 ◽

Author(s):

Wasim Ahmed ◽

Josep Vidal-Alaball ◽

Josep Maria Vilaseca Llobet

Keyword(s):

Social Media ◽

Social Network ◽

Network Analysis ◽

Rural Health ◽

Language Processing ◽

Rural Areas ◽

English Language ◽

Twitter Data ◽

Share Information ◽

Insight Into

Individuals from rural areas are increasingly using social media as a means of communication, receiving information, or actively complaining of inequalities and injustices. This study captured 57 days’ worth of Twitter data from June to August 2021 related to rural health using English language keywords. The study utilised social network analysis and natural language processing to analyse the data. It was found that Twitter served as a fruitful platform to raise awareness of problems faced by those living in rural areas. Overall, Twitter was utilised in rural areas to express complaints, to debate, and share information. Twitter could be leveraged as a powerful social listening tool for individuals and organisations who want to gain insight into popular narratives around rural health.

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