Publications
Sarah K. Madsen, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xue Hua, Boris A. Gutman, Aram Galstyan, Paul M. Thompson
In International Symposium on Biomedical Imaging, ISBI
2015
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
In Proc. of 31st Conference on Uncertainty in Artificial Intelligence (UAI'15)
2015
Maximally Informative Hierarchical Representations of High-Dimensional Data
Greg Ver Steeg, Aram GalstyanIn AISTATS'15
2015
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization
Linhong Zhu, Greg Ver Steeg, Aram Galstyan2014
Discovering Structure in High-Dimensional Data Through Correlation Explanation
Greg Ver Steeg, Aram GalstyanIn Advances in Neural Information Processing Systems, NIPS'14
2014
Opinion Dynamics with Confirmation Bias
In PLoS ONE
2014, e99557 pages
http://dx.doi.org/10.1371%2Fjournal.pone.0099557
Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media
Linhong Zhu, Aram Galstyan, James Cheng, Lerman, KristinaIn SIGMOD'14
2014
Demystifying Information-Theoretic Clustering
Greg Ver Steeg, Aram Galstyan, Fei Sha, Simon DeDeoIn Proc. of ICML'14
2014
Hidden Markov Models for the Activity Profile of Terrorist Groups
Vasanthan Raghavan, Aram Galstyan, Alexander G. TartakovskyIn Annals of Applied Statistics
2014, 1837-2457 pages
Phase Transitions in Community Detection: A Solvable Toy Model
Greg Ver Steeg, Cristopher Moore, Aram Galstyan, Armen E AllahverdyanIn EPL (Europhysics Letters)
2014, 48004 pages
Explaining Away Stylistic Coordination
Shuyang Gao, Greg Ver Steeg, Aram GalstyanIn WIN Workshop, New York
2013
Modeling Temporal Activity Patterns in Dynamic Social Networks
Vasanthan Raghavan, Greg Ver Steeg, Aram Galstyan, Alexander G. TartakovskyIn submitted
2013
Coevolutionary networks of reinforcement-learning agents
Kianercy, Ardeshir, Aram GalstyanIn Phys. Rev. E
2013, 012815 pages
http://link.aps.org/doi/10.1103/PhysRevE.88.012815
Sentiment Prediction using Collaborative Filtering
Jihie Kim, Jaebong Yoo, Ho Lim, Huida Qiu, Zornitsa Kozareva, Aram GalstyanIn ICWSM'13
2013
Statistical Tests for Contagion in Observational Social Network Studies
Greg Ver Steeg, Aram GalstyanIn AISTATS'13
2013
Information-Theoretic Measures of Influence Based on Content Dynamics
Greg Ver Steeg, Aram GalstyanIn in Proc. of WSDM'13, Rome, Italy
2012
Generative Models for Spatial-Temporal Processes with Applications to Predictive Criminology
Yoon Sik Cho, Aram Galstyan, Jeff Brantingham, George TitaIn 9th Bayesian Modeling Applications, UAI'12
2012
Hidden Markov Models for the Activity Profile of Terrorist Groups
Vasanthan Raghavan, Aram Galstyan, Alexander G. TartakovskyIn submitted to Annals of Applied Statistics
2012
Adaptive Agents on Evolving Networks
Kianercy, Ardeshir, Aram Galstyan, Armen AllahverdyanIn AAMAS-2012
2012
Dynamics of Boltzmann Q learning in two-player two-action games
Kianercy, Ardeshir, Aram GalstyanIn Phys. Rev. E
2012, 041145 pages
Le Chatelier's principle in replicator dynamics
Armen E Allahverdyan, Aram GalstyanIn Phys. Rev. E
2011, 041117 pages
Information Transfer in Social Media
Greg Ver Steeg, Aram GalstyanIn Workshop on Information in Networks
2011
Comparative Analysis of Viterbi Training and ML Estimation for HMMs
Armen Allahverdyan, Aram GalstyanIn Advances in Neural Information Processing Systems (NIPS)
2011
Continuous Strategy Replicator Dynamics for Multi–Agent Learning
Aram GalstyanIn accepted for publication in JAAMAS
2011
A Sequence of Relaxations Constraining Hidden Variable Models
Greg Ver Steeg, Aram GalstyanIn Proc. of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011); Best paper runner up
2011
Social Mechanics: An Empirically Grounded Science of Social Media
Lerman, Kristina, Tad Hogg, Aram Galstyan, Greg Ver SteegIn The Future of Social Web workshop
2011
Co-evolution of Selection and Influence in Social Networks
Yoon Sik Cho, Greg Ver Steeg, Aram GalstyanIn Proc. of the Twenty-Fifth Conference on Artificial Intelligence (AAAI-11)
2011
Statistical mechanics of semi-supervised clustering in sparse graphs
Greg Ver Steeg, Aram Galstyan, Armen E AllahverdyanIn Journal of Statistical Mechanics: Theory and Experiment
2011, P08009 pages
Co-Evolving Mixed Membership BlockModels
Yoon Sik Cho, Greg Ver Steeg, Aram GalstyanIn NIPS workshopon Networks Across Disciplines
2010
Replicator Dynamics of Co-Evolving Networks
Aram Galstyan, Kianercy, Ardeshir, Armen AllahverdyanIn AAAI Fall Symposium on Complex Adaptive Systems
2010
Community detection with and without prior information
Armen Allahverdyan, Greg Ver Steeg, Aram GalstyanIn EPL (Europhysics Letters)
2010, 18002 pages
Towards Modeling Social and Content Dynamics in Discussion Forums
Jihie Kim, Aram Galstyan, AramIn NAACL Workshop on Computational Linguistics in a World of Social Media
2010
On Maximum a Posteriori Estimation of Hidden Markov Processes
Armen Allahverdyan, Aram GalstyanIn Proceedings of the 25th International Conference on Uncertainty in Artificial Intelligence
2009
Clustering with prior information
Armen Allahverdyan, Aram Galstyan, Greg Ver SteegIn NIPS workshop: Clustering: Science or Art? Towards Principled Approaches
2009
Maximizing influence propagation in networks with community structure
Aram Galstyan, Musoyan, Vahe, Cohen, PaulIn Phys. Rev. E
2009, 056102 pages
TENTACLES: Self-configuring robotic radio networks in unknown environments
Hi Cchi H. Chiu, Bo Ryu, Hua Zhu, Pedro A. Szekely, Rajiv T. Maheswaran, Craig Milo Rogers, Aram Galstyan, Salemi, Behnam, Michael Rubenstein, Wei-Min ShenIn IROS
2009, 1383-1388 pages
Comparing Diffusion Models for Graph–Based Semi–Supervised Learning
Aram Galstyan, Paul R. CohenIn 6-th International Workshop on Mining and Learning with Graphs
2008
Analysis of Social Voting Patterns on Digg
Lerman, Kristina, Aram GalstyanIn Proceedings of the 1st ACM SIGCOMM Workshop on Online Social Networks
2008
Influence Propagation in Modular Networks
Aram Galstyan, Paul R. CohenIn AAAI Symposium on Social Information Processing
2008
Comparative Analysis of Top-down and Bottom-up Methodologies for Multi-Agent Systems
Valentino Crespi, Aram Galstyan, Lerman, KristinaIn Autonomous Robots
2008, 303–313 pages
Empirical Comparison of "Hard" and "Soft" Label Propagation for Relational Classification
Aram Galstyan, Paul R. CohenIn Proceedings of 17th International Conference Inductive Logic Programming
2007, 98-111 pages
Relational Classification Through Three–State Epidemic Dynamics
A. Galstyan, Cohen, P. R.In The 9th International Conference on Information Fusion, Florence, Italy
2006
Analysis of Dynamic Task Allocation in Multi-Robot Systems
Lerman, Kristina, Chris V. Jones, Aram Galstyan, Maja J. MatarićIn International Journal of Robotics Research
2006, 225–242 pages
Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers
A. Galstyan, Cohen, P. R.In Proceedings of IJCAI-05, 19th International Joint Conference on Artificial Intelligence
2005
Identifying Covert Sub-Networks Through Iterative Node Classification
A. Galstyan, Cohen, P. R.In Proceedings of First International Conference on Intelligence Analysis
2005
A Systematic Approach to Composing and Optimizing Application Workflows
E. Deelman, Aram Galstyan, Y. Gil, M. Hall, Lerman, Kristina, A. Nakano, P. Vashista, J. SaltzIn Proceedings of Workshop on Patterns in High Performance Computing
2005
Modeling and mathematical analysis of swarms of microscopic robots
Aram Galstyan, T. Hogg, Lerman, KristinaIn Proceedings of IEEE Swarm Intelligence Symposium (SIS-2005), Pasadena, CA
2005
Resource Allocation in the Grid with Learning Agents
Aram Galstyan, Karl Czajkowski, Lerman, KristinaIn Journal of Grid Computing
2005, 91–100 pages
Comparative Analysis of Top-down and Bottom-up Methodologies for Multi-Agent Systems
Valentino Crespi, Aram Galstyan, Lerman, KristinaIn Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2005) (poster), Utrecht, Netherlands
2005
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems
Lerman, Kristina, A. Martinoli, Aram GalstyanIn Swarm Robotics Workshop: State-of-the-art Survey
2005, 143–152 pages
Analysis of a Stochastic Model of Adaptive Task Allocation in Robots
Aram Galstyan, Lerman, KristinaIn Engineering Self Organizing Systems: Methodology and Applicationsy
2005, 167 pages
Resource Allocation in the Grid Using Reinforcement Learning
Aram Galstyan, Karl Czajkowski, Lerman, KristinaIn Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2004) (poster), New York, NY
2004, 1314-1315 pages
Distributed Online Localization in Sensor Networks Using a Moving Target
Aram Galstyan, Bhaskar Krishnamachari, Sundeep Pattem, Lerman, KristinaIn Information Processing in Sensor Networks (IPSN-2004), Berkeley, CA
2004
Resource Allocation and Emergent Coordination in Wireless Sensor Networks
Aram Galstyan, Bhaskar Krishnamachari, Lerman, KristinaIn Workshop on Sensor Networks at the The 19th National Conference on Artificial Intelligence (AAAI-04)
2004
Two Paradigms for the Design of Artificial Collectives
Lerman, Kristina, Aram GalstyanIn Collectives and Design of Complex Systems
2004, 231–256 pages
Automatically Modeling Group Behavior of Simple Agents
Lerman, Kristina, Aram GalstyanIn Agent Modeling Workshop, AAMAS-04
2004
Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms
Wei-Min Shen, Peter Will, Aram Galstyan, Chuong, Cheng-MingIn Auton. Robots
2004, 93–105 pages
Macroscopic Analysis of Adaptive Task Allocation in Robots
Lerman, Kristina, Aram GalstyanIn Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS-2003), Las Vegas, NV
2003, 1951–1956 pages
Threshold Behavior in Boolean Network Model for SAT
Alejandro Bugacov, Aram Galstyan, Lerman, KristinaIn Proceedings of the International Conference on Artificial Intelligence (IC-AI-2003), Las Vegas, NV
2003, 87–92 pages
Agent Memory and Adaptation in Multi-Agent Systems
Lerman, Kristina, Aram GalstyanIn Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2003), Melbourne, Australia
2003, 797–803 pages
Resource Allocation Games with Changing Resource Capacities
Aram Galstyan, S. Kolar, Lerman, KristinaIn Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2003), Melbourne, Australia
2003, 145–152 pages
A Methodology for Mathematical Analysis of Multi-Agent Systems
Lerman, Kristina, Aram Galstyan, T. HoggIn unpublished
2003
Adaptive Boolean Networks and Minority Games with Time-Dependent Cutoffs
Aram Galstyan, Lerman, KristinaIn Physical Review E
2002, 015103 pages
Mathematical Model of Foraging in a Group of Robots: Effect of Interference
Lerman, Kristina, Aram GalstyanIn Autonomous Robots
2002, 127–141 pages
Minority Games and Distributed Coordination in Non-Stationary Environments
Aram Galstyan, Lerman, KristinaIn Proc. of Int. Joint Conf. on Neural Networks
2002
A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems
Lerman, Kristina, Aram Galstyan, A. Martinoli, A. IjspeertIn Artificial Life Journal
2001, 375–393 pages
A General Methodology for Mathematical Analysis of Multi-Agent Systems
Lerman, Kristina, Aram Galstyan2001
Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly
Sarah K. Madsen, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xue Hua, Boris A. Gutman, Aram Galstyan, Paul M. ThompsonIn International Symposium on Biomedical Imaging, ISBI
2015
Estimating Mutual Information by Local Gaussian Approximation
Shuyang Gao, Greg Ver Steeg, Aram GalstyanIn Proc. of 31st Conference on Uncertainty in Artificial Intelligence (UAI'15)
2015
Efficient Estimation of Mutual Information for Strongly Dependent Variables
Shuyang Gao, Greg Ver Steeg, Aram GalstyanIn AISTATS'15
2015
Understanding confounding effects in linguistic coordination: an information-theoretic approach
Shuyang Gao, Greg Ver Steeg, Aram Galstyan2014
Understanding Confounding Effects in Linguistic Coordination: An Information-Theoretic Approach
Shuyang Gao, Greg Ver Steeg, Aram GalstyanIn PLoS ONE
2015, e0130167 pages
http://dx.doi.org/10.1371%2Fjournal.pone.0130167
Variational Information Maximization for Feature Selection
Shuyang Gao, Greg Ver Steeg, Aram GalstyanIn Advances in Neural Information Processing Systems, NIPS'16
2016
Using Social Media, Online Social Networks, and Internet Search as Platforms for Public Health Interventions: A Pilot Study
Huesch, Marco D., Aram Galstyan, Ong, Michael K., Doctor, Jason NIn Health Services Research
2016, 1273–1290 pages
http://dx.doi.org/10.1111/1475-6773.12496
Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text
Sahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel MarcuIn AAAI'16
2016
Modeling Concept Dependencies in a Scientific Corpus
Jonathan Gordon, Linhong Zhu, Aram Galstyan, Prem Natarajan, Gully BurnsIn ACL'16
2016
Emergence of Leadership in Communication
Armen E Allahverdyan, Aram GalstyanIn PLOS ONE
2016, 1-22 pages
http://dx.doi.org/10.1371%2Fjournal.pone.0159301
Learning to Diagnose with LSTM Recurrent Neural Networks.
Lipton, Zachary Chase, Kale, David C., Elkan, Charles, Wetzel, Randall C.In CoRR
2015
http://dblp.uni-trier.de/db/journals/corr/corr1511.html#LiptonKEW15
Style in the Age of Instagram: Predicting Success within the Fashion Industry using Social Media
Park, Jaehyuk, Ciampaglia, Giovanni Luca, Ferrara, EmilioIn CSCW '16 Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing
2016, 64–73 pages
Network Structure and Resilience of Mafia Syndicates
Agreste, Santa, Catanese, Salvatore, De Meo, Pasquale, Ferrara, Emilio, Fiumara, GiacomoIn Information Sciences
2016, 30–47 pages
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks
L. Zhu, D. Guo, J. Yin, G. V. Steeg, A. GalstyanIn IEEE Transactions on Knowledge and Data Engineering
2016, 2765-2777 pages
Latent Space Model for Multi-Modal Social Data
Yoon-Sik Cho, Greg Ver Steeg, Ferrara, Emilio, Aram GalstyanIn WWW '16 Proceedings of the 25th International Conference on World Wide Web
2016, 447–458 pages
The DARPA Twitter Bot Challenge
Subrahmanian, V. S., Azaria, Amos, Durst, Skylar, Kagan, Vadim, Aram Galstyan, Lerman, Kristina, Linhong Zhu, Ferrara, Emilio, Flammini, Alessandro, Menczer, Filippo, othersIn Computer
2016, 38–46 pages
BotOrNot: A System to Evaluate Social Bots
Davis, Clayton A, Varol, Onur, Ferrara, Emilio, Flammini, Alessandro, Menczer, FilippoIn WWW '16 Companion Proceedings of the 25th International Conference Companion on World Wide Web
2016, 273–274 pages
Evidence of Online Performance Deterioration in User Sessions on Reddit
Singer, Philipp, Ferrara, Emilio, Kooti, Farshad, Strohmaier, Markus, Lerman, KristinaIn PloS one
2016, e0161636 pages
OSoMe: the IUNI observatory on social media
Davis, Clayton A, Ciampaglia, Giovanni Luca, Luca Maria Aiello, Chung, Keychul, Conover, Michael D, Ferrara, Emilio, Flammini, Alessandro, Fox, Geoffrey C, Gao, Xiaoming, Gonçalves, Bruno, othersIn PeerJ Computer Science
2016, e87 pages
Predicting online extremism, content adopters, and interaction reciprocity
Ferrara, Emilio, Wang, Wen-Qiang, Varol, Onur, Flammini, Alessandro, Aram GalstyanIn International Conference on Social Informatics
2016, 22–39 pages
Detection of promoted social media campaigns
Ferrara, Emilio, Varol, Onur, Menczer, Filippo, Flammini, AlessandroIn Tenth International AAAI Conference on Web and Social Media
2016, 563–566 pages
Social politics: Agenda setting and political communication on social media
Yang, Xinxin, Chen, Bo-Chiuan, Maity, Mrinmoy, Ferrara, EmilioIn International Conference on Social Informatics
2016, 330–344 pages
The Rise of Social Bots
Ferrara, Emilio, Varol, Onur, Davis, Clayton, Menczer, Filippo, Flammini, AlessandroIn Communications of the ACM
2016, 96–104 pages
The importance of debiasing social media data to better understand e-cigarette-related attitudes and behaviors
Allem, Jon-Patrick, Ferrara, EmilioIn Journal of Medical Internet Research
2016
Social bots distort the 2016 US Presidential election online discussion
Bessi, Alessandro, Ferrara, EmilioIn First Monday
2016
Scalable Query and Analysis for Social Networks: An Integrated High-Level Dataflow System with Pig and Harp
Wu, Tak-Lon, Zhang, Bingjing, Davis, Clayton, Ferrara, Emilio, Flammini, Alessandro, Menczer, Filippo, Qiu, JudyIn Big Data in Complex and Social Networks
2016, 37–62 pages
Twitter Session Analytics: Profiling Users’ Short-term Behavioral Changes
Kooti, Farshad, Esteban Moro, Lerman, KristinaIn Proceedings of the 8th International Conference (SocInfo2016)
2016, 71–86 pages
Partitioning Networks with Node Attributes by Compressing Information Flow
Smith, Laura M., Linhong Zhu, Lerman, Kristina, Percus, Allon G.In ACM Trans. Knowl. Discov. Data
2016, 15:1–15:26 pages
http://arxiv.org/abs/1405.4332
Modified Cheeger and Ratio Cut Methods Using the Ginzburg-Landau Functional for Classification of High-Dimensional Data
Ekaterina Merkurjev, Andrea Bertozzi, Yan, Xiaoran, Lerman, KristinaIn to appear in Inverse Problems
2016
Leveraging the Contributions of the Casual Majority to Identify AppealingWeb Content
Tad Hogg, Lerman, KristinaIn Proceedings of the 4th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016)
2016
http://www.isi.edu/integration/people/lerman/papers/hogg-hcomp.pdf
Capturing the interplay of dynamics and networks through parameterizations of Laplacian operators.
Yan, Xiaoran, Teng, Shanghua, Ghosh, Rumi, Lerman, KristinaIn PeerJ Computer Science
2016, e57+ pages
https://peerj.com/articles/cs-57/
Information Is Not a Virus, and Other Consequences of Human Cognitive Limits
Lerman, KristinaIn Future Internet
2016, 21+ pages
http://dx.doi.org/10.3390/fi8020021
How the structure of Wikipedia articles influences user navigation
Lamprecht, Daniel, Lerman, Kristina, Helic, Denis, Strohmaier, MarkusIn New Review of Hypermedia and Multimedia
2016, 1–22 pages
http://dx.doi.org/10.1080/13614568.2016.1179798
Evidence of Online Performance Deterioration in User Sessions on Reddit
Singer, Philipp, Ferrara, Emilio, Kooti, Farshad, Strohmaier, Markus, Lerman, KristinaIn PLoS ONE
2016, e0161636+ pages
http://dx.doi.org/10.1371/journal.pone.0161636
Assessing the Navigational Effects of Click Biases and Link Insertion on the Web
Geigl, Florian, Lerman, Kristina, Walk, Simon, Strohmaier, Markus, Helic, DenisIn Hypertext Conference
2016
http://arxiv.org/abs/1603.06200
Emotions, Demographics and Sociability in Twitter Interactions
Lerman, Kristina, Megha Arora, Luciano Gallegos, Ponnurangam Kumaraguru, David GarciaIn International Conference on the Web and Social Media
2016
http://arxiv.org/abs/1510.07090
The "Majority Illusion" in Social Networks
Lerman, Kristina, Yan, Xiaoran, Xin-Zeng WuIn PLoS ONE
2016, 1-13 pages
http://dx.doi.org/10.1371%2Fjournal.pone.0147617
Geography of Emotion: Where in a City are People Happier?
Luciano Gallegos, Lerman, Kristina, Arthur Huang, David GarciaIn WWW workshop on MSM
2016
How Business Clusters and Destination Choice are Connected: A Model Based on Social Media Data
Arthur Huang, Luciano Gallegos, Lerman, KristinaIn Proceedings of the 6th TRB Innovations in Travel Modeling Conference
2016
Disentangling the Effects of Social Signals
Tad Hogg, Lerman, KristinaIn Human Computation Journal
2015, 189–208 pages
http://arxiv.org/abs/1410.6744
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior
Kooti, Farshad, Lerman, Kristina, Luca Maria Aiello, Mihajlo Grbovic, Nemanja Djuric, Vladan RadosavljevicIn The 9th ACM International Conference on Web Search and Data Mining
2016
Sifting Common Information from Many Variables
Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan2016
Toward Interpretable Topic Discovery via Anchored Correlation Explanation
Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram GalstyanIn ICML Workshop on Human Interpretability in Machine Learning (WHI'16)
2016
Latent Space Models for Multimodal Social Data
Yoon Sik Cho, Ferrara, Emilio, Greg Ver Steeg, Aram GalstyanIn WWW'16
2016
The DARPA Twitter Bot Challenge
Subrahmanian, V. S., Azaria, Amos, Durst, Skylar, Kagan, Vadim, Aram Galstyan, Lerman, Kristina, Linhong Zhu, Ferrara, Emilio, Flammini, Alessandro, Menczer, Filippo, Rand Waltzman, Stevens, Andrew, Dekhtyar, Alexander, Shuyang Gao, Tad Hogg, Kooti, Farshad, Yan Liu, Varol, Onur, Shiralkar, Prashant, V. G. Vinod Vydiswaran, Mei, Qiaozhu, Huang, TimIn IEEE Computer Magazine
2016, 38-46 pages
http://arxiv.org/abs/1601.05140
Memory-induced mechanism for self-sustaining activity in networks
A. E. Allahverdyan, Steeg, G. Ver, A. GalstyanIn Phys. Rev. E
2015, 062824 pages
http://link.aps.org/doi/10.1103/PhysRevE.92.062824
Using Online Social Media and Social Networks as a Public Health Intervention
Marco Huesch, Doctor, Jason N, Aram GalstyanIn CESR-Schaeffer Working Paper No. 2015-011
2015
Active Inference for Binary Symmetric Hidden Markov Models
Armen Allahverdyan, Aram GalstyanIn Journal of Statistical Physics
2015, 452–466 pages
Latent self-exciting point process model for spatial-temporal networks
Yoon-Sik Cho, Aram Galstyan, P. Jeffrey Brantingham, George TitaIn Discrete and Continuous Dynamical Systems - Series B
2014, 1335-1354 pages
http://xxx.arxiv.org/abs/1302.2671
Modeling Temporal Activity Patterns in Dynamic Social Networks
V. Raghavan, Steeg, G. Ver, A. Galstyan, A. G. TartakovskyIn IEEE Transactions on Computational Social Systems
2014, 89-107 pages
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