Mapping user relationships for health information diffusion on microblogging in China: A social network analysis of Sina Weibo

2015 ◽  
Vol 25 (1) ◽  
pp. 65-83 ◽  
Author(s):  
Gang (Kevin) Han ◽  
Wen Wang
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Information ◽  
Information Diffusion ◽  
Sina Weibo

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.

Network Redundancy and Information Diffusion: The Impacts of Information Redundancy, Similarity, and Tie Strength

2016 ◽  
Vol 46 (2) ◽  
pp. 250-272 ◽  
Author(s):  
Hai Liang ◽  
King-wa Fu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Diffusion ◽  
Tie Strength ◽  
Information Redundancy ◽  
Ego Networks ◽  
Core Concepts ◽  
The Impact

It remains controversial whether community structures in social networks are beneficial or not for information diffusion. This study examined the relationships among four core concepts in social network analysis—network redundancy, information redundancy, ego-alter similarity, and tie strength—and their impacts on information diffusion. By using more than 6,500 representative ego networks containing nearly 1 million following relationships from Twitter, the current study found that (1) network redundancy is positively associated with the probability of being retweeted even when competing variables are controlled for; (2) network redundancy is positively associated with information redundancy, which in turn decreases the probability of being retweeted; and (3) the inclusion of both ego-alter similarity and tie strength can attenuate the impact of network redundancy on the probability of being retweeted.

scholarly journals Exploring Crisis Communication and Information Dissemination on Social Media: Social Network Analysis of Hurricane Irma Tweets

2020 ◽  
Vol 3 (2) ◽  
pp. 179-210 ◽  
Author(s):  
Xianlin Jin
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Crisis Communication ◽  
Information Diffusion ◽  
Information Dissemination ◽  
Opinion Leader ◽  
Communication Model ◽  
Hurricane Irma

This study utilized social network analysis to identify the top 10 Twitter influentials during the Hurricane Irma crisis period and examined the relationship between social media attributes and the bridge influence of controlling information flow. The number of a user’s followers and tweets significantly predicted one’s control of information. Crisis information tended to be shared in scattered subgroups. Social network boundaries impeded information diffusion, and the communication pattern was largely one-way. The findings partially supported the opinion leader argument while indicating that influentials can directly generate information, which is consistent with the social-mediated crisis communication model. Such findings will contribute to crisis literature and help emergency management professionals advance social media usage to disseminate crisis information, build effective communication, and provide immediate disaster relief responses

Social Network Analysis

2018 ◽  
pp. 388-415
Author(s):  
Soufiana Mekouar
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Communication Systems ◽  
Information Diffusion ◽  
Social Systems ◽  
Critical Role ◽  
Network Applications ◽  
Graph Measure ◽  
Statistical Graph

The study of social network analysis has grown in popularity in the past decades and has been used in many areas. It is an interesting and useful field that gained an increasing popularity due to the explosion of social media that has emerged with advances in communication systems, which play a critical role in forming human activities and interactions in social systems. The authors present some techniques from a data mining perspective and statistical graph measure that can be used in various applications such as to perform community detection, clustering in a social network, identify spurious and anomalous users, predict links between vertices in a social network, model and improve the information diffusion, design trust models, and improve other applications. Then, the authors provide a recent literature review of such applications and thus outline challenges of social network applications.

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