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Social Media Analytics in the eHealth Sector

Niaka, Alexandra

The objective of this study is to reveal patterns of Facebook page networks that belong to stakeholders in eHealth. Through online social network analysis I tried to investigate the page like networks of two online pharmacies, a cosmetics and a pharmaceutical company as well as two doctors’ networks. People nowadays use Facebook for finding fellow patients and discussing their conditions, as well as forming online communities and support groups, physicians use their Facebook pages for informing and communicating with their patients, while pharmaceuticals and medical companies invest in social media for reaching their target audiences. The findings of the graph analysis I conducted with a tool called Gephi suggest that online pharmacies along with cosmetics companies target women by connecting with personal blogs, pharmaceuticals target patients by connecting with non - profit organizations related to certain diseases, while doctors either choose to keep their networks strictly professional, or reveal aspects of their personal lives as well. Since eHealth is a sector that is continuously growing, further research could investigate the networks of other participants in eHealth such as non - profit organizations or community support groups. Meanwhile, companies could benefit from the study of such networks, since they provide means of tracking what competition does, as well as monitoring own performance.

masterThesis

Social networks--Research
Social networks--Health aspects
Social networks--Data processing
Communication in medicine--Data processing
Facebook (Electronic resource)
Medical informatics--Evaluation
Medical telematics
Medical informatics--Data processing
Online social networks--Psychological aspects
Communication in medicine--Research
Computer networks--Evaluation
Social networks--Therapeutic use--Research
Medical informatics--Social aspects
Social networks--Psychological aspects
Communication in medicine
Communication in medicine--Case studies
Medical informatics--Case studies
Medical Informatics Computing
Health--Computer network resources
Online social networks--Research
Medical informatics


Αγγλική γλώσσα

2017-05-10T00:00:18Z
2017-05-09T08:13:20Z
2017-05-09


IHU
ihu




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