eprintid: 3856
rev_number: 10
eprint_status: archive
userid: 6
dir: disk0/00/00/38/56
datestamp: 2018-01-12 08:24:38
lastmod: 2018-01-12 08:24:38
status_changed: 2018-01-12 08:24:38
type: monograph
metadata_visibility: show
creators_name: Lopreite, Milena
creators_name: Puliga, Michelangelo
creators_name: Riccaboni, Massimo
creators_id: 
creators_id: michelangelo.puliga@imtlucca.it
creators_id: massimo.riccaboni@imtlucca.it
title: The Global Health Networks:
A Comparative Analysis of
Tuberculosis, Malaria and Pneumonia
Using Social Media Data
ispublished: pub
subjects: HB
subjects: HM
subjects: R1
divisions: EIC
full_text_status: public
monograph_type: imt_eic_working_paper
keywords: Keywords: global health network; social network analysis; machine learning classifier;
tuberculosis; malaria; pneumonia; policy evaluation  - 
JEL codes: i15, i18, c8
abstract: Global health networks (GHNs) of organizations fighting major health threats
represent a useful strategy to respond to the challenge of mobilizing and coordinating
different types of health organizations across borders toward a common goal.
In this paper we reconstruct the GHNs of malaria, tuberculosis and pneumonia by
creating a new unique database of health organizations from the official Twitter accounts
of each organization. We use a majority voter Multi Naive Bayes classifier to
discover, among the Twitter users, the ones that represent organizations or groups active
in each disease area. We perform a social network analysis (SNA) of the global
health networks (GHNs) to evaluate the structure of the network and the role and
performance of the organizations in each network. We find evidence that the GHN
of malaria, TBC and pneumonia are different in terms of performance and leadership,
geographical coverage as well as Twitter popularity. Our analysis validate the
use of social media to analyze GHNs, their effectiveness and to mobilize the global
community toward global sustainable development.
date: 2018-01
number: 1
publisher: IMT School for Advanced Studies Lucca
pages: 33
institution: IMT School for Advanced Studies Lucca
issn: 2279-6894
citation:   Lopreite, Milena and Puliga, Michelangelo and Riccaboni, Massimo  The Global Health Networks: A Comparative Analysis of Tuberculosis, Malaria and Pneumonia Using Social Media Data.  EIC working paper series  #1/2018    IMT School for Advanced Studies Lucca    ISSN 2279-6894.      
document_url: http://eprints.imtlucca.it/3856/1/EIC_WP_2018_1.pdf