Kristina Lerman

Orcid: 0000-0002-5071-0575

Affiliations:
  • University of Southern California, Information Sciences Institute, Los Angeles, USA


According to our database1, Kristina Lerman authored at least 306 papers between 2000 and 2024.

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Bibliography

2024
Estimating Causal Effects of Text Interventions Leveraging LLMs.
CoRR, 2024

Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors.
CoRR, 2024

RTs != Endorsements: Rethinking Exposure Fairness on Social Media Platforms.
CoRR, 2024

Fear and Loathing on the Frontline: Decoding the Language of Othering by Russia-Ukraine War Bloggers.
CoRR, 2024

Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis.
CoRR, 2024

Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine War.
CoRR, 2024

Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective Tasks.
CoRR, 2024

Towards Safer Online Spaces: Simulating and Assessing Intervention Strategies for Eating Disorder Discussions.
CoRR, 2024

Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities.
CoRR, 2024

Feelings about Bodies: Emotions on Diet and Fitness Forums Reveal Gendered Stereotypes and Body Image Concerns.
CoRR, 2024

#EpiTwitter: Public Health Messaging During the COVID-19 Pandemic.
CoRR, 2024

Hostile Counterspeech Drives Users From Hate Subreddits.
CoRR, 2024

Trust and Terror: Hazards in Text Reveal Negatively Biased Credulity and Partisan Negativity Bias.
CoRR, 2024

The Peripatetic Hater: Predicting Movement Among Hate Subreddits.
CoRR, 2024

SoMeR: Multi-View User Representation Learning for Social Media.
CoRR, 2024

Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames.
CoRR, 2024

Hidden in Plain Sight: Exploring the Intersections of Mental Health, Eating Disorders, and Content Moderation on TikTok.
CoRR, 2024

The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition.
CoRR, 2024

Dynamics of Affective Polarization: From Consensus to Partisan Divides.
CoRR, 2024

Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations.
CoRR, 2024

GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022 Attempted Coup in Peru.
CoRR, 2024

Characterizing Online Eating Disorder Communities with Large Language Models.
CoRR, 2024

The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape.
CoRR, 2024

Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Discovering Collective Narratives Shifts in Online Discussions.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

CPL-NoViD: Context-Aware Prompt-Based Learning for Norm Violation Detection in Online Communities.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

How Susceptible are Large Language Models to Ideological Manipulation?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias.
Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, 2024

Machine Learning Insights Into Eating Disorder Twitter Communities.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

Bias Reduction in Social Networks Through Agent-Based Simulations.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2024

Whose Emotions and Moral Sentiments do Language Models Reflect?
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Non-conservative diffusion and its application to social network analysis.
J. Complex Networks, December, 2023

Tracking a Year of Polarized Twitter Discourse on Abortion.
CoRR, 2023

Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies.
CoRR, 2023

Affective Polarization in Social Networks.
CoRR, 2023

Measuring Online Emotional Reactions to Offline Events.
CoRR, 2023

Discovering collective narratives shifts in online discussions.
CoRR, 2023

Pandemic Culture Wars: Partisan Asymmetries in the Moral Language of COVID-19 Discussions.
CoRR, 2023

Radicalized by Thinness: Using a Model of Radicalization to Understand Pro-Anorexia Communities on Twitter.
CoRR, 2023

Clique Densification in Networks.
CoRR, 2023

Non-Binary Gender Expression in Online Interactions.
CoRR, 2023

Gender and Prestige Bias in Coronavirus News Reporting.
CoRR, 2023

Data-Driven Estimation of Heterogeneous Treatment Effects.
CoRR, 2023

Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2023

Feedback Loops and Complex Dynamics of Harmful Speech in Online Discussions.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2023

A Data Fusion Framework for Multi-Domain Morality Learning.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Zero-Shot Meta-Learning for Small-Scale Data From Human Subjects.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation Formats.
Proceedings of the IEEE International Conference on Acoustics, 2023

Leveraging Label Correlations in a Multi-Label Setting: a Case Study in Emotion.
Proceedings of the IEEE International Conference on Acoustics, 2023

ALCAP: Alignment-Augmented Music Captioner.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions.
Proceedings of the IEEE International Conference on Big Data, 2023

Retweets Amplify the Echo Chamber Effect.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Measuring Online Emotional Reactions to Events.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Evaluating Content Exposure Bias in Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
Road network evolution in the urban and rural United States since 1900.
Comput. Environ. Urban Syst., 2022

Leveraging change point detection to discover natural experiments in data.
EPJ Data Sci., 2022

A Survey on Bias and Fairness in Machine Learning.
ACM Comput. Surv., 2022

Retweets Distort Exposure to Polarized Information.
CoRR, 2022

Partisan Asymmetries in Exposure to Misinformation.
CoRR, 2022

Emergent Instabilities in Algorithmic Feedback Loops.
CoRR, 2022

Large-scale agent-based simulations of online social networks.
Auton. Agents Multi Agent Syst., 2022

Infusing Knowledge from Wikipedia to Enhance Stance Detection.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Assessing Scientific Research Papers with Knowledge Graphs.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic.
Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022

The Social Emotional Web.
Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

Noise Audits Improve Moral Foundation Classification.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

Learning Fairer Interventions.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
BD2K Training Coordinating Center's ERuDIte: The Educational Resource Discovery Index for Data Science.
IEEE Trans. Emerg. Top. Comput., 2021

The Wide, the Deep, and the Maverick: Types of Players in Team-based Online Games.
Proc. ACM Hum. Comput. Interact., 2021

Follow the leader: Documents on the leading edge of semantic change get more citations.
J. Assoc. Inf. Sci. Technol., 2021

Socioeconomic Correlates of Anti-Science Attitudes in the US.
Future Internet, 2021

Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game.
CoRR, 2021

DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data.
CoRR, 2021

Pattern Discovery in Time Series with Byte Pair Encoding.
CoRR, 2021

Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings.
CoRR, 2021

A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect.
CoRR, 2021

Emergence of Structural Inequalities in Scientific Citation Networks.
CoRR, 2021

A Model of Densifying Collaboration Networks.
CoRR, 2021

Scale-free degree distributions, homophily and the glass ceiling effect in directed networks.
J. Complex Networks, 2021

Explaining classification performance and bias via network structure and sampling technique.
Appl. Netw. Sci., 2021

Limiting Tags Fosters Efficiency.
Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021

Auditing Algorithmic Bias on Twitter.
Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021

Identifying Shifts in Collective Attention to Topics on Social Media.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

Mapping Moral Valence of Tweets Following The Killing of George Floyd.
Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

Heterogeneous Effects of Software Patches in aMultiplayer Online Battle Arena Game.
Proceedings of the FDG'21: The 16th International Conference on the Foundations of Digital Games 2021, 2021

Speaker Turn Modeling for Dialogue Act Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020
Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox, and Reactive Networks.
IEEE Trans. Netw. Sci. Eng., 2020

Origins of Algorithmic Instabilities in Crowdsourced Ranking.
Proc. ACM Hum. Comput. Interact., 2020

Affect Estimation with Wearable Sensors.
J. Heal. Informatics Res., 2020

User-Based Collaborative Filtering Mobile Health System.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19.
CoRR, 2020

Inherent Trade-offs in the Fair Allocation of Treatments.
CoRR, 2020

The Leaky Pipeline in Physics Publishing.
CoRR, 2020

Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors.
CoRR, 2020

COVID-19 amplifies gender disparities in research.
CoRR, 2020

Systematic Biases in Aggregated COVID-19 Growth Rates.
CoRR, 2020

TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers.
CoRR, 2020

COVID-19: The First Public Coronavirus Twitter Dataset.
CoRR, 2020

Predictability limit of partially observed systems.
CoRR, 2020

Challenges in Forecasting Malicious Events from Incomplete Data.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Graph Embedding with Personalized Context Distribution.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Moral Framing and Ideological Bias of News.
Proceedings of the Social Informatics - 12th International Conference, 2020

Learning Behavioral Representations from Wearable Sensors.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2020

Can Badges Foster a More Welcoming Culture on Q&A Boards?
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Individualized Context-Aware Tensor Factorization for Online Games Predictions.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Massive Cross-Platform Simulations of Online Social Networks.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

A Geometric Solution to Fair Representations.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
Characterizing the 2016 Russian IRA influence campaign.
Soc. Netw. Anal. Min., 2019

Collaboration Drives Individual Productivity.
Proc. ACM Hum. Comput. Interact., 2019

Advancing the international data science workforce through shared training and education.
F1000Research, 2019

Predicting and explaining behavioral data with structured feature space decomposition.
EPJ Data Sci., 2019

Learning Fair and Interpretable Representations via Linear Orthogonalization.
CoRR, 2019

Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization.
CoRR, 2019

Friendship Paradox Biases Perceptions in Directed Networks.
CoRR, 2019

Characterizing Activity on the Deep and Dark Web.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Finding Prerequisite Relations using the Wikipedia Clickstream.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Who Falls for Online Political Manipulation?
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem.
Proceedings of the Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 2019

Linguistic Cues to Deception: Identifying Political Trolls on Social Media.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.
Proceedings of the 36th International Conference on Machine Learning, 2019

Estimating Individualized Daily Self-Reported Affect with Wearable Sensors.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Wrapper Maintenance.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Language, demographics, emotions, and the structure of online social networks.
J. Comput. Soc. Sci., 2018

Computational social scientist beware: Simpson's paradox in behavioral data.
J. Comput. Soc. Sci., 2018

Model of cognitive dynamics predicts performance on standardized tests.
J. Comput. Soc. Sci., 2018

Predicting Cyber-Events by Leveraging Hacker Sentiment.
Inf., 2018

Contagions in Social Networks: Effects of Monophilic Contagion, Friendship Paradox and Reactive Networks.
CoRR, 2018

Degree Correlations Amplify the Growth of Cascades in Networks.
CoRR, 2018

Discovering Signals from Web Sources to Predict Cyber Attacks.
CoRR, 2018

RAPTOR: Ransomware Attack PredicTOR.
CoRR, 2018

DISCOVER: Mining Online Chatter for Emerging Cyber Threats.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Towards Quantifying Sampling Bias in Network Inference.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Journalism, Misinformation and Fact Checking Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Democratizing data science through data science training.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Modeling Evolution of Topics in Large-Scale Temporal Text Corpora.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Quantifying the Impact of Cognitive Biases in Question-Answering Systems.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Discovering Latent Psychological Structures from Self-Report Assessments of Hospital Workers.
Proceedings of the 5th International Conference on Behavioral, 2018

Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

DarkEmbed: Exploit Prediction With Neural Language Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Effort Mediates Access to Information in Online Social Networks.
ACM Trans. Web, 2017

Mining social semantics on the social web.
Semantic Web, 2017

How the structure of Wikipedia articles influences user navigation.
New Rev. Hypermedia Multim., 2017

Graph Filters and the Z-Laplacian.
IEEE J. Sel. Top. Signal Process., 2017

Bounded Rationality in Scholarly Knowledge Discovery.
CoRR, 2017

Network Vector: Distributed Representations of Networks with Global Context.
CoRR, 2017

Will Break for Productivity: Generalized Symptoms of Cognitive Depletion.
CoRR, 2017

Understanding Short-term Changes in Online Activity Sessions.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Analyzing Uber's Ride-sharing Economy.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

BD2K ERuDIte: the Educational Resource Discovery Index for Data Science.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Taming the Unpredictability of Cultural Markets with Social Influence.
Proceedings of the 26th International Conference on World Wide Web, 2017

iPhone's Digital Marketplace: Characterizing the Big Spenders.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Multi-layer Network Composition Under a Unified Dynamical Process.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

Deep Context: A Neural Language Model for Large-scale Networked Documents.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Dynamics of Content Quality in Collaborative Knowledge Production.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

On Quitting: Performance and Practice in Online Game Play.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Early Warnings of Cyber Threats in Online Discussions.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

A Meme is Not a Virus: The Role of Cognitive Heuristics in Information Diffusion.
Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017

The BD2K Training Coordinating Center's Data Science Education Platform.
Proceedings of the AMIA 2017, 2017

2016
Partitioning Networks with Node Attributes by Compressing Information Flow.
ACM Trans. Knowl. Discov. Data, 2016

Capturing the interplay of dynamics and networks through parameterizations of Laplacian operators.
PeerJ Comput. Sci., 2016

Information Is Not a Virus, and Other Consequences of Human Cognitive Limits.
Future Internet, 2016

Attention Inequality in Social Media.
CoRR, 2016

Neighbor-Neighbor Correlations Explain Measurement Bias in Networks.
CoRR, 2016

The DARPA Twitter Bot Challenge.
CoRR, 2016

Evidence of Online Performance Deterioration in User Sessions on Reddit.
CoRR, 2016

Network Composition from Multi-layer Data.
CoRR, 2016

The Myopia of Crowds: A Study of Collective Evaluation on Stack Exchange.
CoRR, 2016

The DARPA Twitter Bot Challenge.
Computer, 2016

Geography of Emotion: Where in a City are People Happier?
Proceedings of the 25th International Conference on World Wide Web, 2016

Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Twitter Session Analytics: Profiling Users' Short-Term Behavioral Changes.
Proceedings of the Social Informatics - 8th International Conference, 2016

Emotions, Demographics and Sociability in Twitter Interactions.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Assessing the Navigational Effects of Click Biases and Link Insertion on the Web.
Proceedings of the 27th ACM Conference on Hypertext and Social Media, 2016

Leveraging the Contributions of the Casual Majority to Identify Appealing Web Content.
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

2015
Disentangling the Effects of Social Signals.
Hum. Comput., 2015

The Majority Illusion in Social Networks.
CoRR, 2015

Social Ties and Emotions: Evidence from Social Media.
CoRR, 2015

Evolution of Conversations in the Age of Email Overload.
Proceedings of the 24th International Conference on World Wide Web, 2015

VIP: Incorporating Human Cognitive Biases in a Probabilistic Model of Retweeting.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Structural Properties of Ego Networks.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

User Effort and Network Structure Mediate Access to Information in Networks.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

2014
Effects of Social Influence in Peer Online Recommendation.
CoRR, 2014

The Impact of Network Flows on Community Formation in Models of Opinion Dynamics.
CoRR, 2014

Tripartite graph clustering for dynamic sentiment analysis on social media.
Proceedings of the International Conference on Management of Data, 2014

The interplay between dynamics and networks: centrality, communities, and cheeger inequality.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Network Weirdness: Exploring the Origins of Network Paradoxes.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Placing user-generated content on the map with confidence.
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

2013
Social Informatics: Using Big Data to Understand Social Behavior.
Proceedings of the Handbook of Human Computation, 2013

Analysis: An Introduction.
Proceedings of the Handbook of Human Computation, 2013

Spectral Clustering with Epidemic Diffusion
CoRR, 2013

Stochastic Models Predict User Behavior in Social Media.
CoRR, 2013

The Simple Rules of Social Contagion.
CoRR, 2013

Limited Attention and Centrality in Social Networks.
Proceedings of the 2013 International Conference on Social Intelligence and Technology, 2013

The Role of Social Media in the Discussion of Controversial Topics.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Using Stochastic Models to Predict User Response in Social Media.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

LA-LDA: A Limited Attention Topic Model for Social Recommendation.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Network flows and the link prediction problem.
Proceedings of the 7th Workshop on Social Network Mining and Analysis, 2013

Friendship Paradox Redux: Your Friends Are More Interesting Than You.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Attention and visibility in an information-rich world.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Identifying Transformative Scientific Research.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Structural and cognitive bottlenecks to information access in social networks.
Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

Using Visibility to Control Collective Attention in Crowdsourcing.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

Scalable mining of social data using stochastic gradient fisher scoring.
Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, 2013

LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users.
ACM Trans. Intell. Syst. Technol., 2012

A probabilistic approach to mining geospatial knowledge from social annotations.
ACM SIGSPATIAL Special, 2012

Social dynamics of Digg.
EPJ Data Sci., 2012

Rethinking Centrality: The Role of Dynamical Processes in Social Network Analysis
CoRR, 2012

Network Structure, Topology and Dynamics in Generalized Models of Synchronization
CoRR, 2012

Social Contagion: An Empirical Study of Information Spread on Digg and Twitter Follower Graphs
CoRR, 2012

The Role of Dynamic Interactions in Multi-scale Analysis of Network Structure
CoRR, 2012

Using proximity to predict activity in social networks.
Proceedings of the 21st World Wide Web Conference, 2012

How Visibility and Divided Attention Constrain Social Contagion.
Proceedings of the 2012 International Conference on Privacy, 2012

Semi-automatically Mapping Structured Sources into the Semantic Web.
Proceedings of the Semantic Web: Research and Applications, 2012

Characterising Emergent Semantics in Twitter Lists.
Proceedings of the Semantic Web: Research and Applications, 2012

2011
Mining Geospatial Knowledge on the Social Web.
Int. J. Inf. Syst. Crisis Response Manag., 2011

Entropy-based Classification of 'Retweeting' Activity on Twitter
CoRR, 2011

Pragmatic evaluation of folksonomies.
Proceedings of the 20th International Conference on World Wide Web, 2011

A probabilistic approach for learning folksonomies from structured data.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

A framework for quantitative analysis of cascades on networks.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Leveraging User Diversity to Harvest Knowledge on the Social Web.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Interactively Mapping Data Sources into the Semantic Web.
Proceedings of the First International Workshop on Linked Science 2011, 2011

What Stops Social Epidemics?
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Social Mechanics: An Empirically Grounded Science of Social Media.
Proceedings of the Future of the Social Web, 2011

Time-Aware Ranking in Dynamic Citation Networks.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Learning boundaries of vague places from noisy annotations.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

Using Conditional Random Fields to Exploit Token Structure and Labels for Accurate Semantic Annotation.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Modeling Social Annotation: A Bayesian Approach.
ACM Trans. Knowl. Discov. Data, 2010

A Parameterized Centrality Metric for Network Analysis
CoRR, 2010

Predicting Influential Users in Online Social Networks
CoRR, 2010

Constructing folksonomies by integrating structured metadata.
Proceedings of the 19th International Conference on World Wide Web, 2010

Using a model of social dynamics to predict popularity of news.
Proceedings of the 19th International Conference on World Wide Web, 2010

Centrality metric for dynamic networks.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Growing a tree in the forest: constructing folksonomies by integrating structured metadata.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Analyzing microblogs with affinity propagation.
Proceedings of the First Workshop on Social Media Analytics, 2010

Harvesting geospatial knowledge from social metadata.
Proceedings of the 7th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2010

Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

Integrating Structured Metadata with Relational Affinity Propagation.
Proceedings of the Statistical Relational Artificial Intelligence, 2010

Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering.
Proceedings of the Collaboratively-Built Knowledge Sources and Artificial Intelligence, 2010

2009
Wrapper Maintenance.
Proceedings of the Encyclopedia of Database Systems, 2009

Constructing folksonomies from user-specified relations on flickr.
Proceedings of the 18th International Conference on World Wide Web, 2009

Automatically Constructing Semantic Web Services from Online Sources.
Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009

Stochastic Models of User-Contributory Web Sites.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

Leaders and Negotiators: An Influence-based Metric for Rank.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

Structure of Heterogeneous Networks.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Stochastic Models of Large-Scale Human Behavior on the Web.
Proceedings of the Human Behavior Modeling, 2009

2008
Information Integration for the Masses.
J. Univers. Comput. Sci., 2008

Top-down vs bottom-up methodologies in multi-agent system design.
Auton. Robots, 2008

AAAI 2008 Spring Symposia Reports.
AI Mag., 2008

Analysis of social voting patterns on digg.
Proceedings of the first Workshop on Online Social Networks, 2008

Community Detection Using a Measure of Global Influence.
Proceedings of the Advances in Social Network Mining and Analysis, 2008

Model-guided performance tuning of parameter values: A case study with molecular dynamics visualization.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Exploiting Data Semantics to Discover, Extract, and Model Web Sources.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

On Constructing Shallow Taxonomies from Social Annotations.
Proceedings of the Social Information Processing, 2008

Organizing Committee.
Proceedings of the Social Information Processing, 2008

2007
Social Information Processing in News Aggregation.
IEEE Internet Comput., 2007

Semantic Labeling of Online Information Sources.
Int. J. Semantic Web Inf. Syst., 2007

Social Information Processing in Social News Aggregation
CoRR, 2007

Social Browsing & Information Filtering in Social Media
CoRR, 2007

Personalizing Image Search Results on Flickr
CoRR, 2007

Exploiting Social Annotation for Automatic Resource Discovery
CoRR, 2007

Dynamics of a Collaborative Rating System.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2007

Intelligent Optimization of Parallel and Distributed Applications.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Social Browsing on Flickr.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

Social Networks and Social Information Filtering on Digg.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

User Participation in Social Media: Digg Study.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007

2006
Analysis of Dynamic Task Allocation in Multi-Robot Systems.
Int. J. Robotics Res., 2006

Automatically Labeling the Inputs and Outputs of Web Services.
Proceedings of the Proceedings, 2006

2005
Resource Allocation in the Grid with Learning Agents.
J. Grid Comput., 2005

Modeling and mathematical analysis of swarms of microscopic robots.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

A Systematic Approach to Model-Guided Empirical Search for Memory Hierarchy Optimization.
Proceedings of the Languages and Compilers for Parallel Computing, 2005

Comparative analysis of top-down and bottom-up methodologies for multi-agent system design.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

2004
Mathematical Analysis of Multi-Agent Systems
CoRR, 2004

A Model of Adaptation in Collaborative Multi-Agent Systems.
Adapt. Behav., 2004

Using the Structure of Web Sites for Automatic Segmentation of Tables.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems.
Proceedings of the Swarm Robotics, SAB 2004 International Workshop, 2004

Distributed online localization in sensor networks using a moving target.
Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Analysis of a Stochastic Model of Adaptive Task Allocation in Robots.
Proceedings of the Engineering Self-Organising Systems, 2004

Resource Allocation in the Grid Using Reinforcement Learning.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach.
Proceedings of the Intelligent Exploration of the Web, 2003

Wrapper Maintenance: A Machine Learning Approach.
J. Artif. Intell. Res., 2003

Macroscopic analysis of adaptive task allocation in robots.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

Threshold Behavior in a Boolean Network Model for SAT.
Proceedings of the International Conference on Artificial Intelligence, 2003

Agent memory and adaptation in multi-agent systems.
Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003

Resource allocation games with changing resource capacities.
Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003

2002
Mathematical Model of Foraging in a Group of Robots: Effect of Interference.
Auton. Robots, 2002

Electric Elves: Agent Technology for Supporting Human Organizations.
AI Mag., 2002

2001
A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems.
Artif. Life, 2001

Electric Elves: Applying Agent Technology to Support Human Organizations.
Proceedings of the Thirteenth Innovative Applications of Artificial Intelligence Conference, 2001

2000
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach.
IEEE Data Eng. Bull., 2000

Coalition Formation for Large-Scale Electronic Markets.
Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

Design and Mathematical Analysis of Agent-Based Systems.
Proceedings of the Formal Approaches to Agent-Based Systems, First International Workshop, 2000

Learning the Common Structure of Data.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000


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