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Epidemiological modeling of news and rumors on Twitter
- Fang Jin, Edward R. Dougherty, Parang Saraf, Yang Cao, Naren Ramakrishnan
- Computer ScienceSNAKDD '13
- 11 August 2013
This work uses epidemiological models to characterize information cascades in twitter resulting from both news and rumors, using the SEIZ enhanced epidemic model that explicitly recognizes skeptics to characterize eight events across the world and spanning a range of event types.
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators
We describe the design, implementation, and evaluation of EMBERS, an automated, 24x7 continuous system for forecasting civil unrest across 10 countries of Latin America using open source indicators…
A systematic review of studies on forecasting the dynamics of influenza outbreaks
- E. Nsoesie, J. Brownstein, Naren Ramakrishnan, M. Marathe
- MedicineInfluenza and other respiratory viruses
- 23 December 2013
These diverse approaches to influenza forecasting are capable of capturing specific outbreak measures with some degree of accuracy given reliable data and correct disease assumptions, Nonetheless, several of these approaches need to be evaluated and their performance quantified in real‐time predictions.
Privacy Risks in Recommender Systems
- Naren Ramakrishnan, B. Keller, B. J. Mirza, A. Grama, G. Karypis
- Computer ScienceIEEE Internet Comput.
- 1 November 2001
Recommender system users who rate items across disjoint domains face a privacy risk analogous to the one that occurs with statistical database queries.
The human is the loop: new directions for visual analytics
- A. Endert, M. S. Hossain, Naren Ramakrishnan, C. North, Patrick Fiaux, Christopher Andrews
- PsychologyJournal of Intelligent Information Systems
- 1 December 2014
This work argues for a shift from a 'human in the loop' philosophy for visual analytics to a ‘human is the loop’ viewpoint, where the focus is on recognizing analysts’ work processes, and seamlessly fitting analytics into that existing interactive process.
- C. Houstis, Vassilis S. Verykios, Ann C. Catlin, Naren Ramakrishnan, John R. RiceAbstractKnowledge
- Computer Science
PYTHIA-II, the system presented in this paper, gives a knowledge engineer the capability of organizing and storing data by seemlessly integrating a powerful DBMS into the knowledge aquisition process, as well as advanced techniques that can access data from permanent data stores in a exible and optimal manner.
In-building wideband multipath characteristics at 2.5 and 60 GHz
- C. R. Anderson, T. Rappaport, L. Watson
- BusinessProceedings IEEE 56th Vehicular Technology…
- 10 December 2002
This paper contains measured data for 2.5 and 60 GHz in-building partition loss. Path loss measurements were recorded using a broadband sliding correlator channel sounder which recorded over 39000…
Misinformation Propagation in the Age of Twitter
A quantitative analysis of tweets during the Ebola crisis reveals that lies, half-truths, and rumors can spread just like true news.
Sub2Vec: Feature Learning for Subgraphs
This work forms subgraph embedding problem based on two intuitive properties of subgraphs and proposes Sub2Vec, an unsupervised algorithm to learn feature representations of arbitrary sub graphs, and shows that Sub2 Vec gets significant gains over state-of-the-art methods.
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades
- Mohammad Raihanul Islam, S. Muthiah, B. Adhikari, B. Prakash, Naren Ramakrishnan
- Computer ScienceIEEE International Conference on Data Mining…
- 1 November 2018
This paper first constructs several simple baselines to solve the problem of cascade prediction utilizing only two types of information, viz. which node is infected and its corresponding infection time, and proposes a new solution leveraging recent progress in embeddings and attention models from representation learning.