Big Social Data Analytics for Public Health: Comparative Methods Study and Performance Indicators of Health Care Content on Facebook

Nadiya Straton; Raghava Rao Mukkamala; Ravi Vatrapu

doi:10.1109/BigData.2017.8258243

Big Social Data Analytics for Public Health: Comparative Methods Study and Performance Indicators of Health Care Content on Facebook

Nadiya Straton, Raghava Rao Mukkamala, Ravi Vatrapu

Institut for Digitalisering

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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Abstract

This paper presents a novel approach that evaluates the right model for post engagement and predictions on Facebook. Moreover, paper provides insight into relevant indicators that lead to higher engagement with health care posts on Facebook. Both supervised and unsupervised learning techniques are used to achieve this goal. This research aims to contribute to strategy of health-care organizations to engage regular users and build preventive mechanisms in the long run through informative health-care content posted on Facebook.

Originalsprog	Engelsk
Titel	Proceedings. 2017 IEEE International Conference on Big Data : IEEE Big Data 2017
Redaktører	Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda
Udgivelsessted	Los Alamitos, CA
Forlag	IEEE
Publikationsdato	2017
Sider	2772-2777
ISBN (Trykt)	9781538627167
ISBN (Elektronisk)	9781538627150, 9781538627143
DOI	https://doi.org/10.1109/BigData.2017.8258243
Status	Udgivet - 2017
Begivenhed	Fifth IEEE International Conference on Big Data. IEEE BigData 2017 - Boston, USA Varighed: 11 dec. 2017 → 14 dec. 2017 Konferencens nummer: 5 http://cci.drexel.edu/bigdata/bigdata2017/

Konference

Konference	Fifth IEEE International Conference on Big Data. IEEE BigData 2017
Nummer	5
Land/Område	USA
By	Boston
Periode	11/12/2017 → 14/12/2017
Internetadresse	http://cci.drexel.edu/bigdata/bigdata2017/

Emneord

Gaussian mixture model
K nearest neighbors (KNN)
BIC (Bayes Information criterion)
AIC (Akaike information criterion)
CV (Cross Validation)

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Citationsformater

Straton, N., Mukkamala, R. R., & Vatrapu, R. (2017). Big Social Data Analytics for Public Health: Comparative Methods Study and Performance Indicators of Health Care Content on Facebook. I J.-Y. Nie, Z. Obradovic, T. Suzumura, R. Ghosh, R. Nambiar, C. Wang, H. Zang, R. Baeza-Yates, X. Hu, J. Kepner, A. Cuzzocrea, J. Tang, & M. Toyoda (red.), Proceedings. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017 (s. 2772-2777). IEEE. https://doi.org/10.1109/BigData.2017.8258243

Straton, Nadiya ; Mukkamala, Raghava Rao ; Vatrapu, Ravi. / Big Social Data Analytics for Public Health : Comparative Methods Study and Performance Indicators of Health Care Content on Facebook. Proceedings. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. red. / Jian-Yun Nie ; Zoran Obradovic ; Toyotaro Suzumura ; Rumi Ghosh ; Raghunath Nambiar ; Chonggang Wang ; Hui Zang ; Ricardo Baeza-Yates ; Xiaohua Hu ; Jeremy Kepner ; Alfredo Cuzzocrea ; Jian Tang ; Masashi Toyoda. Los Alamitos, CA : IEEE, 2017. s. 2772-2777

@inproceedings{23a76e41e902418d964b7bedf89a9481,

title = "Big Social Data Analytics for Public Health: Comparative Methods Study and Performance Indicators of Health Care Content on Facebook",

abstract = "This paper presents a novel approach that evaluates the right model for post engagement and predictions on Facebook. Moreover, paper provides insight into relevant indicators that lead to higher engagement with health care posts on Facebook. Both supervised and unsupervised learning techniques are used to achieve this goal. This research aims to contribute to strategy of health-care organizations to engage regular users and build preventive mechanisms in the long run through informative health-care content posted on Facebook.",

keywords = "Gaussian mixture model, K nearest neighbors (KNN), BIC (Bayes Information criterion), AIC (Akaike information criterion), CV (Cross Validation), Gaussian mixture model, K nearest neighbors (KNN), BIC (Bayes Information criterion), AIC (Akaike information criterion), CV (Cross Validation)",

author = "Nadiya Straton and Mukkamala, {Raghava Rao} and Ravi Vatrapu",

year = "2017",

doi = "10.1109/BigData.2017.8258243",

language = "English",

isbn = "9781538627167",

pages = "2772--2777",

editor = "Jian-Yun Nie and Zoran Obradovic and Toyotaro Suzumura and Rumi Ghosh and Raghunath Nambiar and Chonggang Wang and Hui Zang and Ricardo Baeza-Yates and Xiaohua Hu and Jeremy Kepner and Alfredo Cuzzocrea and Jian Tang and Masashi Toyoda",

booktitle = "Proceedings. 2017 IEEE International Conference on Big Data",

publisher = "IEEE",

address = "United States",

note = "Fifth IEEE International Conference on Big Data. IEEE BigData 2017 ; Conference date: 11-12-2017 Through 14-12-2017",

url = "http://cci.drexel.edu/bigdata/bigdata2017/",

}

Straton, N , Mukkamala, RR & Vatrapu, R 2017, Big Social Data Analytics for Public Health: Comparative Methods Study and Performance Indicators of Health Care Content on Facebook. i J-Y Nie, Z Obradovic, T Suzumura, R Ghosh, R Nambiar, C Wang, H Zang, R Baeza-Yates, X Hu, J Kepner, A Cuzzocrea, J Tang & M Toyoda (red), Proceedings. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. IEEE, Los Alamitos, CA, s. 2772-2777, Fifth IEEE International Conference on Big Data. IEEE BigData 2017, Boston, Massachusetts, USA, 11/12/2017. https://doi.org/10.1109/BigData.2017.8258243

Big Social Data Analytics for Public Health: Comparative Methods Study and Performance Indicators of Health Care Content on Facebook. / Straton, Nadiya ; Mukkamala, Raghava Rao ; Vatrapu, Ravi.
Proceedings. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. red. / Jian-Yun Nie; Zoran Obradovic; Toyotaro Suzumura; Rumi Ghosh; Raghunath Nambiar; Chonggang Wang; Hui Zang; Ricardo Baeza-Yates; Xiaohua Hu; Jeremy Kepner; Alfredo Cuzzocrea; Jian Tang; Masashi Toyoda. Los Alamitos, CA: IEEE, 2017. s. 2772-2777.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Big Social Data Analytics for Public Health

T2 - Fifth IEEE International Conference on Big Data. IEEE BigData 2017

AU - Straton, Nadiya

AU - Mukkamala, Raghava Rao

AU - Vatrapu, Ravi

N1 - Conference code: 5

PY - 2017

Y1 - 2017

N2 - This paper presents a novel approach that evaluates the right model for post engagement and predictions on Facebook. Moreover, paper provides insight into relevant indicators that lead to higher engagement with health care posts on Facebook. Both supervised and unsupervised learning techniques are used to achieve this goal. This research aims to contribute to strategy of health-care organizations to engage regular users and build preventive mechanisms in the long run through informative health-care content posted on Facebook.

AB - This paper presents a novel approach that evaluates the right model for post engagement and predictions on Facebook. Moreover, paper provides insight into relevant indicators that lead to higher engagement with health care posts on Facebook. Both supervised and unsupervised learning techniques are used to achieve this goal. This research aims to contribute to strategy of health-care organizations to engage regular users and build preventive mechanisms in the long run through informative health-care content posted on Facebook.

KW - Gaussian mixture model

KW - K nearest neighbors (KNN)

KW - BIC (Bayes Information criterion)

KW - AIC (Akaike information criterion)

KW - CV (Cross Validation)

KW - Gaussian mixture model

KW - K nearest neighbors (KNN)

KW - BIC (Bayes Information criterion)

KW - AIC (Akaike information criterion)

KW - CV (Cross Validation)

U2 - 10.1109/BigData.2017.8258243

DO - 10.1109/BigData.2017.8258243

M3 - Article in proceedings

SN - 9781538627167

SP - 2772

EP - 2777

BT - Proceedings. 2017 IEEE International Conference on Big Data

A2 - Nie, Jian-Yun

A2 - Obradovic, Zoran

A2 - Suzumura, Toyotaro

A2 - Ghosh, Rumi

A2 - Nambiar, Raghunath

A2 - Wang, Chonggang

A2 - Zang, Hui

A2 - Baeza-Yates, Ricardo

A2 - Hu, Xiaohua

A2 - Kepner, Jeremy

A2 - Cuzzocrea, Alfredo

A2 - Tang, Jian

A2 - Toyoda, Masashi

PB - IEEE

CY - Los Alamitos, CA

Y2 - 11 December 2017 through 14 December 2017

ER -

Straton N , Mukkamala RR , Vatrapu R. Big Social Data Analytics for Public Health: Comparative Methods Study and Performance Indicators of Health Care Content on Facebook. I Nie JY, Obradovic Z, Suzumura T, Ghosh R, Nambiar R, Wang C, Zang H, Baeza-Yates R, Hu X, Kepner J, Cuzzocrea A, Tang J, Toyoda M, red., Proceedings. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. Los Alamitos, CA: IEEE. 2017. s. 2772-2777 doi: 10.1109/BigData.2017.8258243