Improving access to health information for older migrants by using grounded theory and social network analysis to understand their information behaviour and digital technology use

2014 ◽  
Vol 23 (6) ◽  
pp. 728-738 ◽  
Author(s):  
K.T. Goodall ◽  
L.A. Newman ◽  
P.R. Ward
Keyword(s):  
Grounded Theory ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Information ◽  
Digital Technology ◽  
Technology Use ◽  
Information Behaviour ◽  
Older Migrants ◽  
Access To Health

The reach and flow of health information in two Aboriginal communities: a social network analysis

2017 ◽  
Vol 23 (2) ◽  
pp. 189 ◽  
Author(s):  
Scott Winch ◽  
Nageen Ahmed ◽  
Christopher Rissel ◽  
Michelle Maxwell ◽  
Joanna Coutts ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Information ◽  
Community Members ◽  
Future Health ◽  
Aboriginal Communities ◽  
Aboriginal Community ◽  
Family Networks ◽  
South Wales

The aim of the present paper was to explore how social networks enable dissemination of health information within two Aboriginal communities in New South Wales. The study design was modelled on a social network analysis socio-centric model. Data collection was conducted primarily by Aboriginal community members who were trained as community researchers. Participants reported on their patterns of interaction and who they provided or received health information from, and awareness of the Aboriginal Enhancement of the Get Healthy Information and Coaching Service. In total, 122 participants across two sites participated in the study. Aboriginal Community Controlled Health Services (ACCHSs) and Aboriginal Community Controlled Health Organisations (ACCHOs) were cited as the main provider of health information in both sites. Between-ness, degree and closeness centrality showed that certain community members, ACCHS and ACCHO within the two communities in the present study were considerable enablers [actors] in enhancing the reach and flow of health information to their respective Aboriginal community. There is potential for future health-promotion activities to be increasingly targeted and effective in terms of reach and influence, if guided by local Aboriginal organisations and by key Aboriginal community members within and across family networks and communities.

Using social network analysis to assess climate change professionals’ communications in Iran

2021 ◽  
Keyword(s):  
Climate Change ◽  
Grounded Theory ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Third Party ◽  
Structured Interviews ◽  
Adaptation To Climate Change ◽  
Adaptation Measures ◽  
Cooperative Relationship

Abstract Increased cooperation of an interdisciplinary group of climate change professionals as a social network can play a crucial role in adaptation to climate change. To investigate this relationship at the country-scale, this study uses a case study in Iran in order to 1) measure the cooperative relationship among climate change professionals using the network analysis approach, and; 2) analyze the potential of the network in promoting adaptation measures based on sustainable development. Social network analysis, which is both a quantitative and qualitative method of grounded theory was used to analyze the data. Data collection was performed using two questionnaires including network analysis and a survey, as well as a number of semi-structured interviews with the climate change professionals. The data was collected from climate change professionals including a sample of 55 individuals who were surveyed as a complete network. The network relationship results have been analyzed using different tests at three (micro, macro and the interactions between the two) levels. The results have shown that the connectedness of the network is 23.7%, with 42.4% mutual links. The transitivity rate in the network is 51.39%, which determines the possibility of each professional communicating with a third party. According to the normalized degree index, 34.29% of the cases are in contact with other researchers in the network and 53.15% received a connection from others. Grounded theory analysis showed that five core categories including social capital, managerial factors, research, relations, and coordination affected the quality and utility of Iranian climate change professionals’ network.

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