TY - GEN
T1 - Simulating Online Social Response
T2 - 2021 Winter Simulation Conference, WSC 2021
AU - Shao, Huajie
AU - Abdelzaher, Tarek
AU - Han, Jiawei
AU - Jiang, Minhao
AU - Mao, Yuning
AU - Meng, Yu
AU - Qiu, Wenda
AU - Sun, Dachun
AU - Wang, Ruijie
AU - Yang, Chaoqi
AU - Yang, Zhenzhou
AU - Zhang, Xinyang
AU - Zhang, Yu
AU - Cohen, Sam
AU - Flamino, James
AU - Korniss, Gyorgy
AU - Malik, Omar
AU - Mandviwalla, Aamir
AU - Szymanski, Boleslaw
AU - Yin, Lake
N1 - Funding Information:
This work was sponsored in part by DARPA award W911NF-17-C-0099, DTRA award HDTRA118-1-0026, DoD BRO award HQ00342110002, and the Army Research Laboratory under Cooperative Agreement W911NF-17-2-0196.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The paper describes a methodology for simulating online social media activities that occur in response to external events. A large number of social media simulators model information diffusion on online social networks. However, information cascades do not originate in vacuum. Rather, they often originate as a reaction to events external to the online medium. Thus, to predict activity on the social medium, one must investigate the relation between external stimuli and online social responses. The paper presents a simulation pipeline that features stimulus/response models describing how social systems react to external events of relevance to them. Two case studies are presented to test the fidelity of different models. One investigates online responses to events in the Venezuela election crisis. The other investigates online responses to developments of the China Pakistan Economic Corridor (CPEC). These case studies indicate that simple macroscopic stimulus/response models can accurately predict aggregate online trends.
AB - The paper describes a methodology for simulating online social media activities that occur in response to external events. A large number of social media simulators model information diffusion on online social networks. However, information cascades do not originate in vacuum. Rather, they often originate as a reaction to events external to the online medium. Thus, to predict activity on the social medium, one must investigate the relation between external stimuli and online social responses. The paper presents a simulation pipeline that features stimulus/response models describing how social systems react to external events of relevance to them. Two case studies are presented to test the fidelity of different models. One investigates online responses to events in the Venezuela election crisis. The other investigates online responses to developments of the China Pakistan Economic Corridor (CPEC). These case studies indicate that simple macroscopic stimulus/response models can accurately predict aggregate online trends.
UR - http://www.scopus.com/inward/record.url?scp=85126137190&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126137190&partnerID=8YFLogxK
U2 - 10.1109/WSC52266.2021.9715347
DO - 10.1109/WSC52266.2021.9715347
M3 - Conference contribution
AN - SCOPUS:85126137190
T3 - Proceedings - Winter Simulation Conference
BT - 2021 Winter Simulation Conference, WSC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 December 2021 through 15 December 2021
ER -