Leveraging twitter and Neo4j to study the public use of opioids in the USA

Disha Soni; Thanaa Ghanem; Basma Gomaa; Jon Schommer

doi:10.1145/3327964.3328501

Leveraging twitter and Neo4j to study the public use of opioids in the USA

Disha Soni, Thanaa Ghanem, Basma Gomaa, Jon Schommer

Pharmaceutical Care and Health Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

In this paper, we present a use case of graph data management systems in the health care domain. Basically, we used Neo4j as a platform to store and analyze tweets that mention at least one opioid-related keyword. Opioid (mis)use is an escalating public-health-concern in the USA and hence the goal of our study is to provide healthcare professionals with information about the public use of opioids and the geographical distribution of opioid-related tweets. The outcomes of our study can be used to direct public health campaigns to target those populations in high-use areas. Some findings of our study are: (1) California, especially the Sacramento area, has the highest number of users (921 users) who posted 2397 opioid-related tweets during our analysis period, (2) North Carolina has the highest percentage (17%) of opioid-related tweets when compared to the overall number of the state's tweets, and (3) the largest opioid-related user group on Twitter consists of 42 users and the most discussed topic in this group is the adverse effects of Tylenol and Percocet.

Original language	English (US)
Title of host publication	Proceedings of the 2nd ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA) 2019, GRADES-NDA 2019
Editors	Akhil Arora, Arnab Bhattacharya, George Fletcher
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450367899
DOIs	https://doi.org/10.1145/3327964.3328501
State	Published - Jun 30 2019
Event	2nd ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2019, co-located with the ACM SIGMOD International Conference on Management of Data 2019 - Amsterdam, Netherlands Duration: Jun 30 2019 → …

Publication series

Name	Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems

Conference

Conference	2nd ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2019, co-located with the ACM SIGMOD International Conference on Management of Data 2019
Country/Territory	Netherlands
City	Amsterdam
Period	6/30/19 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1145/3327964.3328501

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Soni, D., Ghanem, T., Gomaa, B., & Schommer, J. (2019). Leveraging twitter and Neo4j to study the public use of opioids in the USA. In A. Arora, A. Bhattacharya, & G. Fletcher (Eds.), Proceedings of the 2nd ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA) 2019, GRADES-NDA 2019 (Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems). Association for Computing Machinery. https://doi.org/10.1145/3327964.3328501

Leveraging twitter and Neo4j to study the public use of opioids in the USA. / Soni, Disha; Ghanem, Thanaa; Gomaa, Basma et al.

Proceedings of the 2nd ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA) 2019, GRADES-NDA 2019. ed. / Akhil Arora; Arnab Bhattacharya; George Fletcher. Association for Computing Machinery, 2019. (Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Soni, D, Ghanem, T, Gomaa, B & Schommer, J 2019, Leveraging twitter and Neo4j to study the public use of opioids in the USA. in A Arora, A Bhattacharya & G Fletcher (eds), Proceedings of the 2nd ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA) 2019, GRADES-NDA 2019. Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, Association for Computing Machinery, 2nd ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2019, co-located with the ACM SIGMOD International Conference on Management of Data 2019, Amsterdam, Netherlands, 6/30/19. https://doi.org/10.1145/3327964.3328501

Soni D, Ghanem T, Gomaa B, Schommer J. Leveraging twitter and Neo4j to study the public use of opioids in the USA. In Arora A, Bhattacharya A, Fletcher G, editors, Proceedings of the 2nd ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA) 2019, GRADES-NDA 2019. Association for Computing Machinery. 2019. (Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems). doi: 10.1145/3327964.3328501

Soni, Disha ; Ghanem, Thanaa ; Gomaa, Basma et al. / Leveraging twitter and Neo4j to study the public use of opioids in the USA. Proceedings of the 2nd ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA) 2019, GRADES-NDA 2019. editor / Akhil Arora ; Arnab Bhattacharya ; George Fletcher. Association for Computing Machinery, 2019. (Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems).

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abstract = "In this paper, we present a use case of graph data management systems in the health care domain. Basically, we used Neo4j as a platform to store and analyze tweets that mention at least one opioid-related keyword. Opioid (mis)use is an escalating public-health-concern in the USA and hence the goal of our study is to provide healthcare professionals with information about the public use of opioids and the geographical distribution of opioid-related tweets. The outcomes of our study can be used to direct public health campaigns to target those populations in high-use areas. Some findings of our study are: (1) California, especially the Sacramento area, has the highest number of users (921 users) who posted 2397 opioid-related tweets during our analysis period, (2) North Carolina has the highest percentage (17%) of opioid-related tweets when compared to the overall number of the state's tweets, and (3) the largest opioid-related user group on Twitter consists of 42 users and the most discussed topic in this group is the adverse effects of Tylenol and Percocet.",

author = "Disha Soni and Thanaa Ghanem and Basma Gomaa and Jon Schommer",

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AB - In this paper, we present a use case of graph data management systems in the health care domain. Basically, we used Neo4j as a platform to store and analyze tweets that mention at least one opioid-related keyword. Opioid (mis)use is an escalating public-health-concern in the USA and hence the goal of our study is to provide healthcare professionals with information about the public use of opioids and the geographical distribution of opioid-related tweets. The outcomes of our study can be used to direct public health campaigns to target those populations in high-use areas. Some findings of our study are: (1) California, especially the Sacramento area, has the highest number of users (921 users) who posted 2397 opioid-related tweets during our analysis period, (2) North Carolina has the highest percentage (17%) of opioid-related tweets when compared to the overall number of the state's tweets, and (3) the largest opioid-related user group on Twitter consists of 42 users and the most discussed topic in this group is the adverse effects of Tylenol and Percocet.

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Leveraging twitter and Neo4j to study the public use of opioids in the USA

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