B. Aditya Prakash

According to our database1, B. Aditya Prakash authored at least 73 papers between 2007 and 2018.

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Bibliography

2018
Automatic Segmentation of Dynamic Network Sequences with Node Labels.
IEEE Trans. Knowl. Data Eng., 2018

Propagation-Based Temporal Network Summarization.
IEEE Trans. Knowl. Data Eng., 2018

Efficiently summarizing attributed diffusion networks.
Data Min. Knowl. Discov., 2018

Mining E-Commerce Query Relations using Customer Interaction Networks.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Near-Optimal Mapping of Network States using Probes.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

SIGNet: Scalable Embeddings for Signed Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Sub2Vec: Feature Learning for Subgraphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Automatic Segmentation of Data Sequences.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Nonlinear Dynamics of Information Diffusion in Social Networks.
TWEB, 2017

Understanding the Relationship between Human Behavior and Susceptibility to Cyber Attacks: A Data-Driven Approach.
ACM TIST, 2017

Distributed Representation of Subgraphs.
CoRR, 2017

Detecting Large Reshare Cascades in Social Networks.
Proceedings of the 26th International Conference on World Wide Web, 2017

MeiKe: Influence-based Communities in Networks.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Condensing Temporal Networks using Propagation.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Data-Driven Immunization.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Distributed Representations of Subgraphs.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

SnapNETS: Automatic Segmentation of Network Sequences with Node Labels.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Near-Optimal Algorithms for Controlling Propagation at Group Scale on Networks.
IEEE Trans. Knowl. Data Eng., 2016

Node Immunization on Large Graphs: Theory and Algorithms.
IEEE Trans. Knowl. Data Eng., 2016

Eigen-Optimization on Large Graphs by Edge Manipulation.
TKDD, 2016

Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs.
SIGKDD Explorations, 2016

Prediction Using Propagation: From Flu Trends to Cybersecurity.
IEEE Intelligent Systems, 2016

Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models.
Data Min. Knowl. Discov., 2016

Forecasting the Flu: Designing Social Network Sensors for Epidemics.
CoRR, 2016

Ensemble Models for Data-driven Prediction of Malware Infections.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Unstable Communities in Network Ensembles.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Reconstructing an Epidemic Over Time.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Leveraging Propagation for Data Mining: Models, Algorithms and Applications.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Segmenting Sequences of Node-Labeled Graphs.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

2015
Graph Mining for Cyber Security.
Proceedings of the Cyber Warfare - Building the Scientific Foundation, 2015

Data-Aware Vaccine Allocation Over Large Networks.
TKDD, 2015

Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread.
CoRR, 2015

Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Controlling Propagation at Group Scale on Networks.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mining Unstable Communities from Network Ensembles.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

The Global Cyber-Vulnerability Report
Terrorism, Security, and Computation, Springer, ISBN: 978-3-319-25760-0, 2015

2014
SharkFin: Spatio-temporal mining of software adoption and penetration.
Social Netw. Analys. Mining, 2014

Efficiently spotting the starting points of an epidemic in a large graph.
Knowl. Inf. Syst., 2014

DAVA: Distributing Vaccines over Networks under Prior Information.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Fast influence-based coarsening for large networks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Modeling mass protest adoption in social network communities using geometric brownian motion.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Scalable Vaccine Distribution in Large Graphs given Uncertain Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Competing Memes Propagation on Networks: A Network Science Perspective.
IEEE Journal on Selected Areas in Communications, 2013

Fractional Immunization in Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Smartphone viruses propagation on heterogeneous composite networks.
Proceedings of the 2nd IEEE Network Science Workshop, 2013

Spatio-temporal mining of software adoption & penetration.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Understanding and Managing Cascades on Large Graphs.
PVLDB, 2012

Threshold conditions for arbitrary cascade models on arbitrary networks.
Knowl. Inf. Syst., 2012

Propagation and immunization in large networks.
ACM Crossroads, 2012

Competing memes propagation on networks: a case study of composite networks.
Computer Communication Review, 2012

Winner takes all: competing viruses or ideas on fair-play networks.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Rise and fall patterns of information diffusion: model and implications.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Interacting viruses in networks: can both survive?
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Spotting Culprits in Epidemics: How Many and Which Ones?
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Gelling, and melting, large graphs by edge manipulation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point.
Proceedings of the NETWORKING 2011, 2011

Time Series Clustering: Complex is Simpler!
Proceedings of the 28th International Conference on Machine Learning, 2011

Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Parsimonious Linear Fingerprinting for Time Series.
PVLDB, 2010

Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Metric forensics: a multi-level approach for mining volatile graphs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

On the Vulnerability of Large Graphs.
Proceedings of the ICDM 2010, 2010

2009
FRAPP: a framework for high-accuracy privacy-preserving mining.
Data Min. Knowl. Discov., 2009

BGP-lens: patterns and anomalies in internet routing updates.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs.
Proceedings of the ICDM Workshops 2009, 2009

2007
Complex Group-By Queries for XML.
Proceedings of the 23rd International Conference on Data Engineering, 2007


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