University of Southern California
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University of Southern California


Kristina Lerman
  		 
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The Role of Social Media in the Discussion of Controversial Topics. Smith, L. M.; Zhu, L.; Lerman, K.; and Kozareva, Z. In ASE/IEEE International Conference on Social Computing, 2013.
The Role of Social Media in the Discussion of Controversial Topics [.pdf]Paper The Role of Social Media in the Discussion of Controversial Topics [bib]Bibtex   10 downloads   Abstract
The Role of Social Media in the Discussion of Controversial Topics. Smith, L.; Zhu, L.; Lerman, K.; and Kozareva, Z. In ASE/IEEE International Conference on Social Computing, 2013.
The Role of Social Media in the Discussion of Controversial Topics [bib]Bibtex   10 downloads  
LA-LDA: A Limited Attention Model for Social Recommendation. Kang, J.; Lerman, K.; and Getoor, L. In International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP), 2013. (Terry Lyons Memorial Award for Best Student Paper).
LA-LDA: A Limited Attention Model for Social Recommendation [.ppt]Presentation LA-LDA: A Limited Attention Model for Social Recommendation [.6277]Paper LA-LDA: A Limited Attention Model for Social Recommendation [bib]Bibtex   8 downloads  
Semi-Automatically Mapping Structured Sources into the Semantic Web. Knoblock, C. A.; Szekely, P.; Ambite, J. L.; Goel, A.; Gupta, S.; Lerman, K.; Mallick, P.; Muslea, M.; and Taheriyan, M. In Proceedings of Extended Semantic Web Conference, 2012.
Semi-Automatically Mapping Structured Sources into the Semantic Web [.pdf]Paper Semi-Automatically Mapping Structured Sources into the Semantic Web [bib]Bibtex    
How Limited Visibility and Divided Attention Constrain Social Contagion. Hodas, N.; and Lerman, K. In ASE/IEEE International Conference on Social Computing, 2012.
How Limited Visibility and Divided Attention Constrain Social Contagion [.2736]Paper How Limited Visibility and Divided Attention Constrain Social Contagion [bib]Bibtex   2 downloads  
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users. Lerman, K.; and Hogg, T. ACM Transactions on Intelligent Systems and Technology, 3(4). September 2012.
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users [.0237]Paper Using Stochastic Models to Describe and Predict Social Dynamics of Web Users [bib]Bibtex   2 downloads  
Social Mechanics: An Empirically Grounded Science of Social Media. Lerman, K.; Galstyan, A.; Steeg, G. V.; and Hogg, T. In Proceedings for ICWSM workshop on the Future of Social Media (FOSW11), 2011.
Social Mechanics: An Empirically Grounded Science of Social Media [.pdf]Paper Social Mechanics: An Empirically Grounded Science of Social Media [bib]Bibtex   1 download  
A Framework for Quantitative Analysis of Cascades on Networks. Ghosh, R.; and Lerman, K. In Proceedings of Web Search and Data Mining Conference (WSDM), February 2011.
A Framework for Quantitative Analysis of Cascades on Networks [.bib]Presentation A Framework for Quantitative Analysis of Cascades on Networks [.3571]Paper A Framework for Quantitative Analysis of Cascades on Networks [bib]Bibtex   1 download  
From Saplings to A Tree: Integrating Structured Metadata via Relational Affinity Propagation. Plangprasopchok, A.; Lerman, K.; and Getoor, L. In Proceedings of the AAAI workshop on Statistical Relational AI, July 2010.
From Saplings to A Tree: Integrating Structured Metadata via Relational Affinity Propagation [.4963]Paper From Saplings to A Tree: Integrating Structured Metadata via Relational Affinity Propagation [bib]Bibtex    
Leaders and Negotiators: An Influence-based Metric for Rank. Ghosh, R.; and Lerman, K. In Proceedings of 3rd International Conference on Weblogs and Social Media (Poster), 2009.
Leaders and Negotiators: An Influence-based Metric for Rank [bib]Bibtex    
Constructing Folksonomies from User-specified Relations on Flickr. Plangprasopchok, A.; and Lerman, K. In Proceedings of 18th International World Wide Web Conference (WWW), May 2009.
Constructing Folksonomies from User-specified Relations on Flickr [.3747a]Paper Constructing Folksonomies from User-specified Relations on Flickr [bib]Bibtex    
Exploiting Data Semantics to Discover, Extract, and Model Web Sources. Ambite, J.-.; Knoblock, C. A.; Lerman, K.; Plangprasopchok, A.; Russ, T.; Gazen, C.; Minton, S.; and Carman, M. J. In Proceedings of ICDM Workshop on Semantic Aspects of Data Mining, 2008.
Exploiting Data Semantics to Discover, Extract, and Model Web Sources [bib]Bibtex    
User Participation in Social Media: Digg Study. Lerman, K. In Proceedings of the WI/IAT workshop on Social Media Analysis, 2007.
User Participation in Social Media: Digg Study [.2414]Paper User Participation in Social Media: Digg Study [bib]Bibtex    
Personalizing Results of Image Search on Flickr. Lerman, K.; Plangprasopchok, A.; and Wong, M. C. In Proceedings of AAAI workshop on Intelligent Techniques for Web Personlization, 2007.
Personalizing Results of Image Search on Flickr [.1676]Paper Personalizing Results of Image Search on Flickr [bib]Bibtex    
Analysis of Dynamic Task Allocation in Multi-Robot Systems. Lerman, K.; Jones, C. V.; Galstyan, A.; and Matarić, M. J. International Journal of Robotics Research, 25(3):225--242. 2006.
Analysis of Dynamic Task Allocation in Multi-Robot Systems [.pdf]Paper Analysis of Dynamic Task Allocation in Multi-Robot Systems [bib]Bibtex   1 download  
Analysis of a Stochastic Model of Adaptive Task Allocation in Robots. Galstyan, A.; and Lerman, K. In Breuckner, S.; Serugendo, G. D.M.; Karageorgos, A.; and Nagpal, R., editor, Engineering Self Organizing Systems: Methodology and Applicationsy, of LNAI, page 167. Springer-Verlag, Berlin Heidelberg, 2005.
Analysis of a Stochastic Model of Adaptive Task Allocation in Robots [bib]Bibtex     Buy
Distributed Online Localization in Sensor Networks Using a Moving Target. Galstyan, A.; Krishnamachari, B.; Pattem, S.; and Lerman, K. In Information Processing in Sensor Networks (IPSN-2004), Berkeley, CA, apr 2004.
Distributed Online Localization in Sensor Networks Using a Moving Target [bib]Bibtex    
Resource Allocation Games with Changing Resource Capacities. Galstyan, A.; Kolar, S.; and Lerman, K. In Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2003), Melbourne, Australia, page 145--152, 2003.
Resource Allocation Games with Changing Resource Capacities [bib]Bibtex    
Stochastic Models Predict User Behavior in Social Media. Hogg, T.; Lerman, K.; and Smith, L. M. In ASE/IEEE International Conference on Social Computing, 2013.
Stochastic Models Predict User Behavior in Social Media [.2705]Paper Stochastic Models Predict User Behavior in Social Media [bib]Bibtex   8 downloads   Abstract
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media. Kang, J.; and Lerman, K. In Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2013.
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media [.ppt]Presentation LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media [.pdf]Paper LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media [bib]Bibtex   11 downloads  
A Probabilistic Approach to Mining Geospatial Knowledge from Social Annotations. Intagorn, S.; and Lerman, K. In Conference on Information and Knowledge Management (CIKM), 2012.
A Probabilistic Approach to Mining Geospatial Knowledge from Social Annotations [.pdf]Paper A Probabilistic Approach to Mining Geospatial Knowledge from Social Annotations [bib]Bibtex   5 downloads  
Characterising Emergent Semantics in Twitter Lists. Garćia-Silva, A.; Kang, J.; Lerman, K.; and Corcho, O. In Proceedings of Extended Semantic Web Conference, 2012.
Characterising Emergent Semantics in Twitter Lists [bib]Bibtex    
The Role of Dynamic Interactions in Multi-scale Analysis of Network Structure. Ghosh, R.; and Lerman, K. . January 2012.
The Role of Dynamic Interactions in Multi-scale Analysis of Network Structure [.2383]Paper The Role of Dynamic Interactions in Multi-scale Analysis of Network Structure [bib]Bibtex   1 download  
A Parameterized Centrality Metric for Network Analysis. Ghosh, R.; and Lerman, K. Physical Review, E 83(6):066118. 2011.
A Parameterized Centrality Metric for Network Analysis [.4247]Paper A Parameterized Centrality Metric for Network Analysis [bib]Bibtex    
Non-Conservative Diffusion and its Application to Social Network Analysis. Ghosh, R.; Lerman, K.; Surachawala, T.; Voevodski, K.; and Teng, S. Technical Report University of Southern California, Feb 2011.
Non-Conservative Diffusion and its Application to Social Network Analysis [.4639]Paper Non-Conservative Diffusion and its Application to Social Network Analysis [bib]Bibtex    
Integrating Specialist and Folk Knowledge with Affinity Propagation. Kang; Hyung, J.; and Lerman, K. In In Proceedings of NIPS workshop on Machine Learning for Social Computing, December 2010.
Integrating Specialist and Folk Knowledge with Affinity Propagation [.bib]Presentation Integrating Specialist and Folk Knowledge with Affinity Propagation [.bib]Paper Integrating Specialist and Folk Knowledge with Affinity Propagation [bib]Bibtex    
Information Contagion: an Empirical Study of Spread of News on Digg and Twitter Social Networks. Lerman, K.; and Ghosh, R. In Proceedings of 4th International Conference on Weblogs and Social Media (ICWSM), May 2010.
Information Contagion: an Empirical Study of Spread of News on Digg and Twitter Social Networks [.pdf]Presentation Information Contagion: an Empirical Study of Spread of News on Digg and Twitter Social Networks [.2664]Paper Information Contagion: an Empirical Study of Spread of News on Digg and Twitter Social Networks [bib]Bibtex   2 downloads  
Structure of Heterogeneous Networks. Ghosh, R.; and Lerman, K. In Proceedings of 1st IEEE SIGCOM Social Computing Conference (SocialCom), August 2009.
Structure of Heterogeneous Networks [.2212]Paper Structure of Heterogeneous Networks [bib]Bibtex    
Modeling Social Annotation: a Bayesian Approach. Plangprasopchok, A.; and Lerman, K. ACM Transactions on Knowledge Discovery from Data, 5(1):4. 2010.
Modeling Social Annotation: a Bayesian Approach [.1319]Paper Modeling Social Annotation: a Bayesian Approach [bib]Bibtex    
Community Detection using a Measure of Global Influence. Ghosh, R.; and Lerman, K. In Proceedings of the 2nd KDD Workshop on Social Network Analysis (SNAKDD'08), 2008.
Community Detection using a Measure of Global Influence [.4606]Paper Community Detection using a Measure of Global Influence [bib]Bibtex    
Information Intergation for the Masses. Blythe, J.; Kapoor, D.; Knoblock, C. A.; Minton, S.; and Lerman, K. In Proceedings of the AAAI workshop on Information Integration on the Web, 2007.
Information Intergation for the Masses [bib]Bibtex    
Exploiting Social Annotation for Resource Discovery. Plangprasopchok, A.; and Lerman, K. In Proceedings of AAAI workshop on Information Integration on the Web (IIWeb07), 2007.
Exploiting Social Annotation for Resource Discovery [.1675]Paper Exploiting Social Annotation for Resource Discovery [bib]Bibtex    
A Systematic Approach to Composing and Optimizing Application Workflows. Deelman, E.; Galstyan, A.; Gil, Y.; Hall, M.; Lerman, K.; Nakano, A.; Vashista, P.; and Saltz, J. In Proceedings of Workshop on Patterns in High Performance Computing, 2005.
A Systematic Approach to Composing and Optimizing Application Workflows [bib]Bibtex    
A Model of Adaptation in Collaborative Multi-Agent Systems. Lerman, K. Adaptive Behavior, 12(3--4):187--198. 2004.
A Model of Adaptation in Collaborative Multi-Agent Systems [.pdf]Paper A Model of Adaptation in Collaborative Multi-Agent Systems [bib]Bibtex    
Using the Structure of Web Sites for Automatic Segmentation of Tables. Lerman, K.; Getoor, L.; Minton, S.; and Knoblock, C. A. In In \emphProceedings of ACM SIG on Management of Data (SIGMOD-2004), jun 2004.
Using the Structure of Web Sites for Automatic Segmentation of Tables [.pdf]Paper Using the Structure of Web Sites for Automatic Segmentation of Tables [bib]Bibtex    
A Methodology for Mathematical Analysis of Multi-Agent Systems. Lerman, K.; Galstyan, A.; and Hogg, T. unpublished, . 2003.
A Methodology for Mathematical Analysis of Multi-Agent Systems [.org/abs/cs/0404002]Paper A Methodology for Mathematical Analysis of Multi-Agent Systems [bib]Bibtex    
A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems. Lerman, K.; Galstyan, A.; Martinoli, A.; and Ijspeert, A. Artificial Life Journal, 7(4):375--393. 2001.
A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems [.pdf]Paper A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems [bib]Bibtex    
Attention and Visibility in an Information Rich World. Hodas, N. O.; and Lerman, K. In 2013.
Attention and Visibility in an Information Rich World [.4798]Paper Attention and Visibility in an Information Rich World [bib]Bibtex   8 downloads   Abstract
Friendship Paradox Redux: Your Friends Are More Interesting Than You. Hodas, N.; Kooti, F.; and Lerman, K. In Proceedings of the 7Th International AAAI Conference On Weblogs And Social Media (ICWSM), 2013. Honorable mention paper.
Friendship Paradox Redux: Your Friends Are More Interesting Than You [.com/18rmya6ucitr/friendship-paradox-redux-icwsm-2013/]Presentation Friendship Paradox Redux: Your Friends Are More Interesting Than You [.3480]Paper Friendship Paradox Redux: Your Friends Are More Interesting Than You [bib]Bibtex   10 downloads   Abstract
Network Structure, Topology and Dynamics in Generalized Models of Synchronization. Lerman, K.; and Ghosh, R. Physical Review E, 86(026108). 2012.
Network Structure, Topology and Dynamics in Generalized Models of Synchronization [.1338]Paper Network Structure, Topology and Dynamics in Generalized Models of Synchronization [bib]Bibtex   2 downloads  
Social Contagion: An Empirical Study of Information Spread on Digg and Twitter Follower Graphs. Lerman, K.; Ghosh, R.; and Surachawala, T. . 2012.
Social Contagion: An Empirical Study of Information Spread on Digg and Twitter Follower Graphs [.3162]Paper Social Contagion: An Empirical Study of Information Spread on Digg and Twitter Follower Graphs [bib]Bibtex   7 downloads  
Time-aware Ranking in Dynamic Citation Networks. Ghosh, R.; Kuo, T.; Hsu, C.; Lin, S.; and Lerman, K. In COMMPER 2011: Mining Communities and People Recommendations, Data Mining Workshops (ICDMW), 2010 IEEE International Conference on, page 373 -380, December 2011.
Time-aware Ranking in Dynamic Citation Networks [.pdf]Paper Time-aware Ranking in Dynamic Citation Networks [bib]Bibtex    
Leveraging User Diversity to Harvest Knowledge on the Social Web. Kang, J.; and Lerman, K. In Proceedings of the Third IEEE International Conference on Social Computing, 2011.
Leveraging User Diversity to Harvest Knowledge on the Social Web [.pdf]Paper Leveraging User Diversity to Harvest Knowledge on the Social Web [bib]Bibtex    
What stops social epidemics?. Greg Ver Steeg; Ghosh, R.; and Lerman, K. In Proceedings of 5th International Conference on Weblogs and Social Media, 2011.
What stops social epidemics? [.pdf]Presentation What stops social epidemics? [.1985]Paper What stops social epidemics? [bib]Bibtex   2 downloads  
Centrality Metric for Dynamic Network Analysis. Lerman, K.; Ghosh, R.; and Kang, J. In Proceedings of KDD workshop on Mining and Learning with Graphs (MLG), July 2010.
Centrality Metric for Dynamic Network Analysis [.pdf]Paper Centrality Metric for Dynamic Network Analysis [bib]Bibtex   2 downloads  
Harvesting Geospatial Knowledge from Social Metadata. Intagorn, S.; Plangprasopchok, A.; and Lerman, K. In Proceedings of 7th International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 2010.
Harvesting Geospatial Knowledge from Social Metadata [.pdf]Presentation Harvesting Geospatial Knowledge from Social Metadata [.pdf]Paper Harvesting Geospatial Knowledge from Social Metadata [bib]Bibtex    
Information Integration for the Masses. Blythe, J.; Kapoor, D.; Knoblock, C. A.; Lerman, K.; and Minton, S. Journal of Universal Computer Science, 14(11):1811--1837. 2008.
Information Integration for the Masses [.pdf]Paper Information Integration for the Masses [bib]Bibtex    
Handbook of Research on Web 2.0, 3.0, and X.0: Technologies, Business, and Social Applications. Lerman, K. Leveraging User-specified Metadata to Personalize Image Search. IGI Global, 2009.
Handbook of Research on Web 2.0, 3.0, and X.0: Technologies, Business, and Social Applications [.pdf]Paper Handbook of Research on Web 2.0, 3.0, and X.0: Technologies, Business, and Social Applications [bib]Bibtex    
Analysis of Social Voting Patterns on Digg. Lerman, K.; and Galstyan, A. In Proceedings of the 1st ACM SIGCOMM Workshop on Online Social Networks, 2008.
Analysis of Social Voting Patterns on Digg [.1918]Paper Analysis of Social Voting Patterns on Digg [bib]Bibtex   2 downloads  
Social Information Processing in Social News Aggregation. Lerman, K. IEEE Internet Computing: special issue on Social Search, 11(6):16--28. 2007.
Social Information Processing in Social News Aggregation [.CY/0703087]Paper Social Information Processing in Social News Aggregation [bib]Bibtex   1 download  
Social Networks and Social Information Filtering on Digg. Lerman, K. In Proceedings of 1st International Conference on Weblogs and Social Media (ICWSM-07), 2007.
Social Networks and Social Information Filtering on Digg [.HC/0612046]Paper Social Networks and Social Information Filtering on Digg [bib]Bibtex    
Modeling and mathematical analysis of swarms of microscopic robots. Galstyan, A.; Hogg, T.; and Lerman, K. In Proceedings of IEEE Swarm Intelligence Symposium (SIS-2005), Pasadena, CA, jun 2005.
Modeling and mathematical analysis of swarms of microscopic robots [.org/abs/cs/0604110]Paper Modeling and mathematical analysis of swarms of microscopic robots [bib]Bibtex    
Populating the Semantic Web. Lerman, K.; Gazen, C.; Minton, S.; and Knoblock, C. A. In Proceedings of the Workshop on Advances in Text Extraction and Mining (AAAI-2004), 2004.
Populating the Semantic Web [bib]Bibtex    
Macroscopic Analysis of Adaptive Task Allocation in Robots. Lerman, K.; and Galstyan, A. In Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS-2003), Las Vegas, NV, page 1951--1956, oct 2003.
Macroscopic Analysis of Adaptive Task Allocation in Robots [bib]Bibtex    
Collectives and Design of Complex Systems. Lerman, K.; and Galstyan, A. In Tumer, K.; and Wolpert, D., editor, Two Paradigms for the Design of Artificial Collectives, page 231--256. Springer Verlag, New York, 2004.
Collectives and Design of Complex Systems [bib]Bibtex    
A General Methodology for Mathematical Analysis of Multi-Agent Systems. Lerman, K.; and Galstyan, A. Technical Report ISI-TR-529, University of California, Information Sciences Institute, 2001.
A General Methodology for Mathematical Analysis of Multi-Agent Systems [.html]Paper A General Methodology for Mathematical Analysis of Multi-Agent Systems [bib]Bibtex    
Coalition Formation for Large-Scale Electronic Markets. Lerman, K.; and Shehory, O. In Proceedings of the International Conference on Multi-Agent Systems (ICMAS'2000), Boston, MA, 2000., page 167--174, 2000.
Coalition Formation for Large-Scale Electronic Markets [.pdf]Paper Coalition Formation for Large-Scale Electronic Markets [bib]Bibtex    
Social Informatics: Using Big Data to Understand Social Behavior. Lerman, K. In Michelucci, P., editor, Handbook of Social Computation. Springer, 2013.
Social Informatics: Using Big Data to Understand Social Behavior [bib]Bibtex     Buy
Limited Attention and Centrality in Social Networks. Lerman, K.; Jain, P.; Ghosh, R.; Kang, J.; and Kumaraguru, P. In Proceedings of International Conference on Social Intelligence and Technology (SOCIETY), 2013.
Limited Attention and Centrality in Social Networks [.4451]Paper Limited Attention and Centrality in Social Networks [bib]Bibtex   5 downloads  
Rethinking Centrality: The Role of Dynamical Processes in Social Network Analysis. Ghosh, R.; and Lerman, K. J. Discrete and Continuous Dynamical Systems (in press), . 2012.
Rethinking Centrality: The Role of Dynamical Processes in Social Network Analysis [.4616]Paper Rethinking Centrality: The Role of Dynamical Processes in Social Network Analysis [bib]Bibtex    
Social Dynamics of Digg. Hogg, T.; and Lerman, K. EPJ Data Science, 1(5). June 2012.
Social Dynamics of Digg [.com/content/1/1/5]Paper Social Dynamics of Digg [bib]Bibtex   4 downloads  
Interactively Mapping Data Sources into the Semantic Web. Knoblock, C. A.; Szekely, P.; Ambite, J. L.; Gupta, S.; Goel, A.; Muslea, M.; Lerman, K.; and Mallick, P. In First International Workshop on Linked Science at the International Semantic Web Conference, 2011.
Interactively Mapping Data Sources into the Semantic Web [.bib]Paper Interactively Mapping Data Sources into the Semantic Web [bib]Bibtex   1 download  
Learning Boundaries of Vague Places from Noisy Annotations. Intagorn, S.; and Lerman, K. In Proceedings of 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2011.
Learning Boundaries of Vague Places from Noisy Annotations [.pdf]Paper Learning Boundaries of Vague Places from Noisy Annotations [bib]Bibtex    
Pragmatic Evaluation of Folksonomies. Helic, D.; Strohmaier, M.; Trattner, C.; Muhr, M.; and Lerman, K. In Proceedings of 20th International World Wide Web Conference (WWW), 2011.
Pragmatic Evaluation of Folksonomies [.pdf]Paper Pragmatic Evaluation of Folksonomies [bib]Bibtex    
Predicting Influential Users in Online Social Networks. Ghosh, R.; and Lerman, K. In Proceedings of KDD workshop on Social Network Analysis (SNA-KDD), July 2010.
Predicting Influential Users in Online Social Networks [.pdf]Presentation Predicting Influential Users in Online Social Networks [.4882]Paper Predicting Influential Users in Online Social Networks [bib]Bibtex   3 downloads  
Using a Model of Social Dynamics to Predict Popularity of News. Lerman, K.; and Hogg, T. In Proceedings of 19th International World Wide Web Conference (WWW), 2010.
Using a Model of Social Dynamics to Predict Popularity of News [.pdf]Presentation Using a Model of Social Dynamics to Predict Popularity of News [.pdf]Paper Using a Model of Social Dynamics to Predict Popularity of News [bib]Bibtex   2 downloads  
Automatically Constructing Semantic Web Services from Online Sources. Ambite, J.; Darbha, S.; Goel, A.; Knoblock, C. A.; Lerman, K.; Parundekar, R.; and Russ, T. A. In Proceedings of 8th International Semantic Web Conference, October 2009.
Automatically Constructing Semantic Web Services from Online Sources [.pdf]Paper Automatically Constructing Semantic Web Services from Online Sources [bib]Bibtex   1 download  
Stochastic Models of Large-Scale Human Behavior on the Web. Lerman, K.; and Hogg, T. In Proceedings of AAAI symposium on Modeling Human Behavior, Menlo Park, CA, 2009. AAAI.
Stochastic Models of Large-Scale Human Behavior on the Web [bib]Bibtex    
Comparative Analysis of Top-down and Bottom-up Methodologies for Multi-Agent Systems. Crespi, V.; Galstyan, A.; and Lerman, K. Autonomous Robots, 24(3):303--313. April 2008.
Comparative Analysis of Top-down and Bottom-up Methodologies for Multi-Agent Systems [.pdf]Paper Comparative Analysis of Top-down and Bottom-up Methodologies for Multi-Agent Systems [bib]Bibtex    
Semantic Labeling of Online Information Sources. Lerman, K.; Plangprasopchok, A.; and Knoblock, C. A. International Journal on Semantic Web and Information Systems, Special Issue on Ontology Matching, 3(3):36--56. 2007.
Semantic Labeling of Online Information Sources [.pdf]Paper Semantic Labeling of Online Information Sources [bib]Bibtex    
Social Browsing on Flickr. Lerman, K.; and Jones, L. In Proceedings of 1st International Conference on Weblogs and Social Media (ICWSM-07), 2007.
Social Browsing on Flickr [.HC/0612047]Paper Social Browsing on Flickr [bib]Bibtex    
Comparative Analysis of Top-down and Bottom-up Methodologies for Multi-Agent Systems. Crespi, V.; Galstyan, A.; and Lerman, K. In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2005) (poster), Utrecht, Netherlands, jun 2005.
Comparative Analysis of Top-down and Bottom-up Methodologies for Multi-Agent Systems [bib]Bibtex    
Virtual Enterprise Integration: Technological and Organizational Perspective. Lerman, K.; Minton, S.; and Knoblock, C. A. Machine Learning Techniques for Web Wrapper Maintenance, Goran D. Putnik and Maria Manuela Cunha (Eds). Idea Group, Hershey, PA, 2004.
Virtual Enterprise Integration: Technological and Organizational Perspective [bib]Bibtex    
Threshold Behavior in Boolean Network Model for SAT. Bugacov, A.; Galstyan, A.; and Lerman, K. In Proceedings of the International Conference on Artificial Intelligence (IC-AI-2003), Las Vegas, NV, page 87--92, jun 2003.
Threshold Behavior in Boolean Network Model for SAT [.pdf]Paper Threshold Behavior in Boolean Network Model for SAT [bib]Bibtex    
Adaptive Boolean Networks and Minority Games with Time-Dependent Cutoffs. Galstyan, A.; and Lerman, K. Physical Review, E66:015103. 2002.
Adaptive Boolean Networks and Minority Games with Time-Dependent Cutoffs [.pdf]Paper Adaptive Boolean Networks and Minority Games with Time-Dependent Cutoffs [bib]Bibtex   1 download  
Automatic Data Extraction from Lists and Tables in Web Sources. Lerman, K.; Knoblock, C. A.; and Minton, S. In Proceedings of the workshop on Advances in Text Extraction and Mining (IJCAI-2001), Menlo Park, 2001. AAAI Press.
Automatic Data Extraction from Lists and Tables in Web Sources [.pdf]Paper Automatic Data Extraction from Lists and Tables in Web Sources [bib]Bibtex    
Network Flows and the Link Prediction Problem. Narang, K.; Lerman, K.; and Kumaraguru, P. In Proceedings of KDD workshop on Social Network Analysis (SNA-KDD), 2013.
Network Flows and the Link Prediction Problem [.pdf]Paper Network Flows and the Link Prediction Problem [bib]Bibtex   2 downloads  
Structural and Cognitive Bottlenecks to Information Access in Social Networks. Kang, J.; and Lerman, K. In Proceedings of 24th ACM Conference on Hypertext and Social Media (HyperText), 2013.
Structural and Cognitive Bottlenecks to Information Access in Social Networks [.0861]Paper Structural and Cognitive Bottlenecks to Information Access in Social Networks [bib]Bibtex   6 downloads  
Using Lists to Measure Homophily on Twitter. Kang, J.; and Lerman, K. In AAAI workshop on Intelligent Techniques for Web Personalization and Recommendation, July 2012.
Using Lists to Measure Homophily on Twitter [.pdf]Paper Using Lists to Measure Homophily on Twitter [bib]Bibtex   5 downloads  
Using Proximity to Predict Activity in Social Networks. Lerman, K.; Intagorn, S.; Kang, J.; and Ghosh, R. In Proceedings of 21st International World Wide Web Conference (poster), 2012.
Using Proximity to Predict Activity in Social Networks [.2755]Paper Using Proximity to Predict Activity in Social Networks [bib]Bibtex   1 download  
Mining Geospatial Knowledge on the Social Web. Intagorn, S.; and Lerman, K. International Journal of Information Systems for Crisis Response and Management, 3(2):33--47. 2011.
Mining Geospatial Knowledge on the Social Web [.pdf]Paper Mining Geospatial Knowledge on the Social Web [bib]Bibtex    
Entropy-based Classification of �Retweeting� Activity on Twitter. Ghosh, R.; Surachawala, T.; and Lerman, K. In Proceedings of KDD workshop on Social Network Analysis (SNA-KDD), August 2011.
Entropy-based Classification of �Retweeting� Activity on Twitter [.pdf]Presentation Entropy-based Classification of �Retweeting� Activity on Twitter [.0346]Paper Entropy-based Classification of �Retweeting� Activity on Twitter [bib]Bibtex    
A Probabilistic Approach for Learning Folksonomies from Structured Data. Plangprasopchok, A.; Lerman, K.; and Getoor, L. In Proceedings of the 4th ACM Web Search and Data Mining Conference (WSDM), February 2011.
A Probabilistic Approach for Learning Folksonomies from Structured Data [.3557]Paper A Probabilistic Approach for Learning Folksonomies from Structured Data [bib]Bibtex    
Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata. Plangprasopchok, A.; Lerman, K.; and Getoor, L. In Proceedings of the International Conference on Knowledge Discovery and Data Mining (KDD), July 2010.
Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata [.pdf]Presentation Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata [.5114]Paper Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata [bib]Bibtex    
Stochastic Models of User-Contributory Web Sites. Hogg, T.; and Lerman, K. In Proceedings of 3rd International Conference on Weblogs and Social Media (ICWSM), May 2009.
Stochastic Models of User-Contributory Web Sites [.0016]Paper Stochastic Models of User-Contributory Web Sites [bib]Bibtex    
Discovering and Learning Semantic Models of Online Sources for Information Integration. Ambite, J. L.; Gazen, B.; Knoblock, C. A.; Lerman, K.; and Russ, T. In Proceedings of the IJCAI Workshop on Information Integration on the Web, Pasadena, CA, July 2009.
Discovering and Learning Semantic Models of Online Sources for Information Integration [.pdf]Paper Discovering and Learning Semantic Models of Online Sources for Information Integration [bib]Bibtex    
Wrapper Maintenance. Lerman, K.; and Knoblock, C. A. In Liu, L.; and Ozsu, M. T., editor, Encyclopedia of Database Systems. Springer, Leipzig, Germany, 2009.
Wrapper Maintenance [.pdf]Paper Wrapper Maintenance [bib]Bibtex     Buy
Spatial Behavior of Individuals and Groups: Preliminary Findings from a Museum Scenario. Shell, D.; Viswanathan, S.; Huang, J.; Ghosh, R.; Huang, J.; Matarić, M.; Lerman, K.; and Sekuler, R. In Proceedings of IROS workshop on Spatial Behavior Modeling, 2007.
Spatial Behavior of Individuals and Groups: Preliminary Findings from a Museum Scenario [bib]Bibtex    
Dynamics of Collaborative Document Rating Systems. Lerman, K. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web Mining and Social Network Analysis, 2007.
Dynamics of Collaborative Document Rating Systems [.pdf]Paper Dynamics of Collaborative Document Rating Systems [bib]Bibtex    
Automatically Labeling the Inputs and Outputs of Web Services. Lerman, K.; Plangprasopchok, A.; and Knoblock, C. A. In Proceedings of National Conference on Artificial Intelligence (AAAI-06), 2006.
Automatically Labeling the Inputs and Outputs of Web Services [.pdf]Paper Automatically Labeling the Inputs and Outputs of Web Services [bib]Bibtex    
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems. Lerman, K.; Martinoli, A.; and Galstyan, A. In E., S.; and W., S., editor, Swarm Robotics Workshop: State-of-the-art Survey, of LNCS, page 143--152. Springer-Verlag, Berlin Heidelberg, 2005.
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems [.pdf]Paper A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems [bib]Bibtex     Buy
Resource Allocation in the Grid Using Reinforcement Learning. Galstyan, A.; Czajkowski, K.; and Lerman, K. In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2004) (poster), New York, NY, page 1314-1315, Jul 2004.
Resource Allocation in the Grid Using Reinforcement Learning [bib]Bibtex    
Agent Memory and Adaptation in Multi-Agent Systems. Lerman, K.; and Galstyan, A. In Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2003), Melbourne, Australia, page 797--803, Jul 2003.
Agent Memory and Adaptation in Multi-Agent Systems [.pdf]Paper Agent Memory and Adaptation in Multi-Agent Systems [bib]Bibtex    
Mathematical Model of Foraging in a Group of Robots: Effect of Interference. Lerman, K.; and Galstyan, A. Autonomous Robots, 13(2):127--141. 2002.
Mathematical Model of Foraging in a Group of Robots: Effect of Interference [.pdf]Paper Mathematical Model of Foraging in a Group of Robots: Effect of Interference [bib]Bibtex    
Learning the Common Structure of Data. Lerman, K.; and Minton, S. In Proceedings of the 15th National Conference on Artificial Intelligence (AAAI-2000), Menlo Park, July~26--30 2000. AAAI Press.
Learning the Common Structure of Data [.pdf]Paper Learning the Common Structure of Data [bib]Bibtex    
Wrapper Maintenance: A Machine Learning Approach. Lerman, K.; Minton, S.; and Knoblock, C. Journal of Artificial Intelligence Research, 18:149--181. 2003.
Wrapper Maintenance: A Machine Learning Approach [.pdf]Paper Wrapper Maintenance: A Machine Learning Approach [bib]Bibtex    
Accurately and reliably extracting data from the web: A machine learning approach. Knoblock, C. A.; Lerman, K.; Minton, S.; and Muslea, I. IEEE Data Engineering Bulletin, 23(4):33--41. 2001.
Accurately and reliably extracting data from the web: A machine learning approach [bib]Bibtex    
Electric Elves: Applying Agent Technology to Support Human Organizations. Chalupsky, H.; Gil, Y.; Knoblock, C. A.; Lerman, K.; Oh, J.; Pynadath, D‥; Russ, T‥; and Tambe, M. AI Magazine, 23(2):11--24. 2002.
Electric Elves: Applying Agent Technology to Support Human Organizations [bib]Bibtex    
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