A social network analysis of the organizations focusing on tuberculosis, malaria and pneumonia.

Citation metadata

From: Social Science & Medicine(Vol. 278)
Publisher: Elsevier Science Publishers
Document Type: Report; Brief article
Length: 328 words

Document controls

Main content

Abstract :

Keywords Health policy; Social network analysis; Health sustainable development; TBC; Malaria; Pneumonia Highlights * Global health network of TBC, malaria and pneumonia were created from Twitter accounts. * The three networks are different in terms of power, size and geographical coverage. * The network discovery tool can be used to find more donors for health causes. * Our findings can be useful in case of preventive actions and crisis management. Abstract In this paper,we present an original study on the use of social media data to analyze the structure of the global health networks (GHNs) relative to health organizations targeted to malaria, tuberculosis (TBC) and pneumonia as well as twitter popularity, evaluating the performance of their strategies in response to the arising health threats. We use a machine learning ensemble classifier and social network analysis to discover the Twitter users that represent organizations or groups active for each disease. We have found evidence that the GHN of TBC is the more mature, active and global. Meanwhile, the networks of malaria and pneumonia are found to be less connected and lacking global coverage. Our analysis validates the use of social media to analyze GHNs and to propose these networks as an important organizational tool in mobilizing the community versus global sustainable development goals. Author Affiliation: (a) Scuola Superiore Sant'Anna di Pisa- Institute of Management, Piazza dei Martiri della Libertà, 3, 56127, Pisa, Italy (b) Scuola Superiore Sant'Anna di Pisa- Institute of Economics, Piazza dei Martiri della Libertà, 3, 56127, Pisa, Italy (c) IMT Alti Studi Lucca - Linkalab, Complex Networks Computational laboratory, Piazza San Francesco,19, 50500, Lucca, Italy (d) IMT Alti Studi Lucca, Piazza San Francesco, 19, 50500, Lucca, Italy * Corresponding author. Scuola Superiore Sant'Anna di Pisa (Italy), Institute of Economics, Piazza dei Martiri della Libertà, 3, 56127, Pisa, Italy. Article History: Revised 21 August 2020; Accepted 10 April 2021 Byline: Milena Lopreite [milena.lopreite@santannapisa.it] (b,*), Michelangelo Puliga [michelangelopuliga@imtlucca.it] (c), Massimo Riccaboni [massimo.riccaboni@imtlucca.it] (d), Sabina De Rosis [sabina.derosis@santannapisa.it] (a)

Source Citation

Source Citation   

Gale Document Number: GALE|A661762561