Siddharth Krishnan
Cited by
Cited by
Encouraging civic participation through local news aggregation
A Kavanaugh, S Krishnan, M Pérez-Quiñones, J Tedesco, K Madondo, ...
Information Polity 19 (1,2), 35-56, 2014
Seeing the Forest for the Trees: New Approaches to Forecasting Cascades
S Krishnan, P Butler, R Tandon, J Leskovec, N Ramakrishnan
ACM Conference on WebScience, 249-258, 2016
Dynamics of health agency response and public engagement in public health emergency: a case study of CDC tweeting patterns during the 2016 Zika epidemic
S Chen, Q Xu, J Buchenberger, A Bagavathi, G Fair, S Shaikh, S Krishnan
JMIR public health and surveillance 4 (4), e10827, 2018
Multi-Net: A Scalable Multiplex Network Embedding Framework
A Bagavathi, S Krishnan
International Conference on Complex Networks and their Applications, 119-131, 2018
Detecting online hate speech: Approaches using weak supervision and network embedding models
M Ridenhour, A Bagavathi, E Raisi, S Krishnan
International conference on social computing, behavioral-cultural modeling …, 2020
Examining untempered social media: analyzing cascades of polarized conversations
A Bagavathi, P Bashiri, S Reid, M Phillips, S Krishnan
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019
Contrasting misinformation and real-information dissemination network structures on social media during a health emergency
L Safarnejad, Q Xu, Y Ge, S Krishnan, A Bagarvathi, S Chen
American Journal of Public Health 110 (S3), S340-S347, 2020
Extracting cryptocurrency price movements from the reddit network sentiment
S Wooley, A Edmonds, A Bagavathi, S Krishnan
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
Pricing a protest: Forecasting the dynamics of civil unrest activity in social media
BJ Goode, S Krishnan, M Roan, N Ramakrishnan
PloS one 10 (10), e0139911, 2015
Identifying influential factors in the discussion dynamics of emerging health issues on social media: Computational study
L Safarnejad, Q Xu, Y Ge, A Bagavathi, S Krishnan, S Chen
JMIR Public Health and Surveillance 6 (3), e17175, 2020
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection
J Melton, A Bagavathi, S Krishnan
19th IEEE International Conference on Machine Learning and Applications …, 2020
Deep learning based urban analytics platform: Applications to traffic flow modeling and prediction
A Parnami, P Bavi, D Papanikolaou, S Akella, M Lee, S Krishnan
ACM SIGKDD Workshop on Mining Urban Data (MUD3); ACM: London, UK, 2018
Inferring Multi-dimensional Ideal Points for US Supreme Court Justices
MR Islam, KSMT Hossain, S Krishnan, N Ramakrishnan
Conference on Artificial Intelligence, 2016
Dynamic load balancing for petascale quantum Monte Carlo applications: The Alias method
CD Sudheer, S Krishnan, A Srinivasan, P Kent
Computer Physics Communications 184 (2), 284-292, 2013
Social sensors early detection of contagious outbreaks in social media
A Bagavathi, S Krishnan
International Conference on Applied Human Factors and Ergonomics, 400-407, 2018
PROV-GEM: Automated Provenance Analysis Framework using Graph Embeddings
M Kapoor, J Melton, M Ridenhour, S Krishnan, T Moyer
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
The dynamics of competing cascades in social media: Applications to agenda setting
S Krishnan, J Cadena, N Ramakrishnan
Proceedings of the WSDM 2014 Workshop on Diffusion Networks and Cascade …, 2014
Gi-ohms: Graphical inference to detect overlapping communities
N Nur, W Dou, X Niu, S Krishnan, N Park
arXiv preprint arXiv:1810.01547, 2018
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning
M Kapoor, J Melton, M Ridenhour, M Sriram, T Moyer, S Krishnan
arXiv preprint arXiv:2203.02744, 2022
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks
J Melton, M Ridenhour, S Krishnan
arXiv preprint arXiv:2203.01903, 2022
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