TY  - RPRT
UR  - http://eprints.imtlucca.it/3856/
AV  - public
TI  - The Global Health Networks:
A Comparative Analysis of
Tuberculosis, Malaria and Pneumonia
Using Social Media Data
Y1  - 2018/01//
KW  - Keywords: global health network; social network analysis; machine learning classifier;
tuberculosis; malaria; pneumonia; policy evaluation  - 
JEL codes: i15
KW  -  i18
KW  -  c8
N2  - 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.
M1  - imt_eic_working_paper
A1  - Lopreite, Milena
A1  - Puliga, Michelangelo
A1  - Riccaboni, Massimo
PB  - IMT School for Advanced Studies Lucca
SN  - 2279-6894
EP  - 33
ID  - eprints3856
ER  -