Bridging the gap between theory and practice in influence maximization: Raising awareness about HIV among homeless youth

Amulya Yadav; Bryan Wilder; Eric Rice; Robin Petering; Jaih Craddock; Amanda Yoshioka-Maxwell; Mary Hemler; Laura Onasch-Vera; Milind Tambe; Darlene Woo

doi:10.24963/ijcai.2018/761

Bridging the gap between theory and practice in influence maximization: Raising awareness about HIV among homeless youth

Amulya Yadav
, Bryan Wilder
, Eric Rice
, Robin Petering
, Jaih Craddock
, Amanda Yoshioka-Maxwell
, Mary Hemler
, Laura Onasch-Vera
, Milind Tambe
, Darlene Woo

College of Information Sciences and Technology

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

40 Scopus citations

Abstract

This paper reports on results obtained by deploying HEALER and DOSIM (two AI agents for social influence maximization) in the real-world, which assist service providers in maximizing HIV awareness in real-world homeless-youth social networks. These agents recommend key”seed” nodes in social networks, i.e., homeless youth who would maximize HIV awareness in their real-world social network. While prior research on these agents published promising simulation results from the lab, the usability of these AI agents in the real-world was unknown. This paper presents results from three real-world pilot studies involving 173 homeless youth across two different homeless shelters in Los Angeles. The results from these pilot studies illustrate that HEALER and DOSIM outperform the current modus operandi of service providers by ~160% in terms of information spread about HIV among homeless youth.

Original language	English (US)
Title of host publication	Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018
Editors	Jerome Lang
Publisher	International Joint Conferences on Artificial Intelligence
Pages	5399-5403
Number of pages	5
ISBN (Electronic)	9780999241127
DOIs	https://doi.org/10.24963/ijcai.2018/761
State	Published - 2018
Event	27th International Joint Conference on Artificial Intelligence, IJCAI 2018 - Stockholm, Sweden Duration: Jul 13 2018 → Jul 19 2018

Publication series

Name	IJCAI International Joint Conference on Artificial Intelligence
Volume	2018-July
ISSN (Print)	1045-0823

Other

Other	27th International Joint Conference on Artificial Intelligence, IJCAI 2018
Country/Territory	Sweden
City	Stockholm
Period	7/13/18 → 7/19/18

UN SDGs

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

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Artificial Intelligence

Access to Document

10.24963/ijcai.2018/761

Cite this

Yadav, A., Wilder, B., Rice, E., Petering, R., Craddock, J., Yoshioka-Maxwell, A., Hemler, M., Onasch-Vera, L., Tambe, M., & Woo, D. (2018). Bridging the gap between theory and practice in influence maximization: Raising awareness about HIV among homeless youth. In J. Lang (Ed.), Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 (pp. 5399-5403). (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2018-July). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2018/761

Yadav, Amulya ; Wilder, Bryan ; Rice, Eric et al. / Bridging the gap between theory and practice in influence maximization : Raising awareness about HIV among homeless youth. Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. editor / Jerome Lang. International Joint Conferences on Artificial Intelligence, 2018. pp. 5399-5403 (IJCAI International Joint Conference on Artificial Intelligence).

@inproceedings{b45a3307290f438fb9aeee99cca338a4,

title = "Bridging the gap between theory and practice in influence maximization: Raising awareness about HIV among homeless youth",

abstract = "This paper reports on results obtained by deploying HEALER and DOSIM (two AI agents for social influence maximization) in the real-world, which assist service providers in maximizing HIV awareness in real-world homeless-youth social networks. These agents recommend key”seed” nodes in social networks, i.e., homeless youth who would maximize HIV awareness in their real-world social network. While prior research on these agents published promising simulation results from the lab, the usability of these AI agents in the real-world was unknown. This paper presents results from three real-world pilot studies involving 173 homeless youth across two different homeless shelters in Los Angeles. The results from these pilot studies illustrate that HEALER and DOSIM outperform the current modus operandi of service providers by \textasciitilde{}160\% in terms of information spread about HIV among homeless youth.",

author = "Amulya Yadav and Bryan Wilder and Eric Rice and Robin Petering and Jaih Craddock and Amanda Yoshioka-Maxwell and Mary Hemler and Laura Onasch-Vera and Milind Tambe and Darlene Woo",

note = "Funding Information: This research was supported by MURI grant W911NF-11-1-0332 and NIMH Grant R01-MH093336. Publisher Copyright: {\textcopyright} 2018 International Joint Conferences on Artificial Intelligence.All right reserved.; 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 ; Conference date: 13-07-2018 Through 19-07-2018",

year = "2018",

doi = "10.24963/ijcai.2018/761",

language = "English (US)",

series = "IJCAI International Joint Conference on Artificial Intelligence",

publisher = "International Joint Conferences on Artificial Intelligence",

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booktitle = "Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018",

}

Yadav, A, Wilder, B, Rice, E, Petering, R, Craddock, J, Yoshioka-Maxwell, A, Hemler, M, Onasch-Vera, L, Tambe, M & Woo, D 2018, Bridging the gap between theory and practice in influence maximization: Raising awareness about HIV among homeless youth. in J Lang (ed.), Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. IJCAI International Joint Conference on Artificial Intelligence, vol. 2018-July, International Joint Conferences on Artificial Intelligence, pp. 5399-5403, 27th International Joint Conference on Artificial Intelligence, IJCAI 2018, Stockholm, Sweden, 7/13/18. https://doi.org/10.24963/ijcai.2018/761

Bridging the gap between theory and practice in influence maximization: Raising awareness about HIV among homeless youth. / Yadav, Amulya; Wilder, Bryan; Rice, Eric et al.
Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. ed. / Jerome Lang. International Joint Conferences on Artificial Intelligence, 2018. p. 5399-5403 (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2018-July).

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

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T1 - Bridging the gap between theory and practice in influence maximization

T2 - 27th International Joint Conference on Artificial Intelligence, IJCAI 2018

AU - Yadav, Amulya

AU - Wilder, Bryan

AU - Rice, Eric

AU - Petering, Robin

AU - Craddock, Jaih

AU - Yoshioka-Maxwell, Amanda

AU - Hemler, Mary

AU - Onasch-Vera, Laura

AU - Tambe, Milind

AU - Woo, Darlene

N1 - Funding Information: This research was supported by MURI grant W911NF-11-1-0332 and NIMH Grant R01-MH093336. Publisher Copyright: © 2018 International Joint Conferences on Artificial Intelligence.All right reserved.

PY - 2018

Y1 - 2018

N2 - This paper reports on results obtained by deploying HEALER and DOSIM (two AI agents for social influence maximization) in the real-world, which assist service providers in maximizing HIV awareness in real-world homeless-youth social networks. These agents recommend key”seed” nodes in social networks, i.e., homeless youth who would maximize HIV awareness in their real-world social network. While prior research on these agents published promising simulation results from the lab, the usability of these AI agents in the real-world was unknown. This paper presents results from three real-world pilot studies involving 173 homeless youth across two different homeless shelters in Los Angeles. The results from these pilot studies illustrate that HEALER and DOSIM outperform the current modus operandi of service providers by ~160% in terms of information spread about HIV among homeless youth.

AB - This paper reports on results obtained by deploying HEALER and DOSIM (two AI agents for social influence maximization) in the real-world, which assist service providers in maximizing HIV awareness in real-world homeless-youth social networks. These agents recommend key”seed” nodes in social networks, i.e., homeless youth who would maximize HIV awareness in their real-world social network. While prior research on these agents published promising simulation results from the lab, the usability of these AI agents in the real-world was unknown. This paper presents results from three real-world pilot studies involving 173 homeless youth across two different homeless shelters in Los Angeles. The results from these pilot studies illustrate that HEALER and DOSIM outperform the current modus operandi of service providers by ~160% in terms of information spread about HIV among homeless youth.

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M3 - Conference contribution

AN - SCOPUS:85055700974

T3 - IJCAI International Joint Conference on Artificial Intelligence

SP - 5399

EP - 5403

BT - Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018

A2 - Lang, Jerome

PB - International Joint Conferences on Artificial Intelligence

Y2 - 13 July 2018 through 19 July 2018

ER -

Yadav A, Wilder B, Rice E, Petering R, Craddock J, Yoshioka-Maxwell A et al. Bridging the gap between theory and practice in influence maximization: Raising awareness about HIV among homeless youth. In Lang J, editor, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. International Joint Conferences on Artificial Intelligence. 2018. p. 5399-5403. (IJCAI International Joint Conference on Artificial Intelligence). doi: 10.24963/ijcai.2018/761

Bridging the gap between theory and practice in influence maximization: Raising awareness about HIV among homeless youth

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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