BibBase lerman, k
generated by bibbase.org
  2022 (16)
The Social Emotional Web. Lerman, K. In Proceedings of the IEEE International Conference on Collaboration and Internet Computing (IEEE CIC), 2022.
link   bibtex  
Gendered citation patterns among the scientific elite. Lerman, K.; Yu, Y.; Morstatter, F.; and Pujara, J. Proceedings of the National Academy of Sciences, 119(40): e2206070119. 2022.
link   bibtex  
Noise Audits Improve Moral Foundation Classification. Mokhberian, N.; Hopp, F. R; Harandizadeh, B.; Morstatter, F.; and Lerman, K. In Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2022.
link   bibtex  
Road network evolution in the urban and rural United States since 1900. Burghardt, K.; Uhl, J. H; Lerman, K.; and Leyk, S. Computers, Environment and Urban Systems, 95: 101803. 2022.
link   bibtex  
Assessing Scientific Research Papers with Knowledge Graphs. Sun, K.; Qiu, Z.; Salinas, A.; Huang, Y.; Lee, D.; Benjamin, D.; Morstatter, F.; Ren, X.; Lerman, K.; and Pujara, J. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 2467–2472, 2022.
link   bibtex  
Large-scale agent-based simulations of online social networks. Murić, G.; Tregubov, A.; Blythe, J.; Abeliuk, A.; Choudhary, D.; Lerman, K.; and Ferrara, E. Autonomous Agents and Multi-Agent Systems, 36(2): 1–21. 2022.
link   bibtex  
Learning fairer interventions. He, Y.; Burghardt, K.; Guo, S.; and Lerman, K. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, pages 317–323, 2022.
link   bibtex  
TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit. Yau, J. C; Girault, B.; Feng, T.; Mundnich, K.; Nadarajan, A.; Booth, B. M; Ferrara, E.; Lerman, K.; Hsieh, E.; and Narayanan, S. Scientific Data, 9(1): 1–17. 2022.
link   bibtex  
Leveraging change point detection to discover natural experiments in data. He, Y.; Burghardt, K. A; and Lerman, K. EPJ Data Science, 11(1): 49. 2022.
link   bibtex  
City definition affects long-term urban scaling analyses in the United States (1900-2015). Burghardt, K.; Uhl, J. H; Lerman, K.; and Leyk, S. arXiv preprint arXiv:2209.10852. 2022.
link   bibtex  
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic. Guo, S.; Burghardt, K.; Rao, A.; and Lerman, K. arXiv preprint arXiv:2203.03608. 2022.
link   bibtex  
Infusing Knowledge from Wikipedia to Enhance Stance Detection. He, Z.; Mokhberian, N.; and Lerman, K. arXiv preprint arXiv:2204.03839. 2022.
link   bibtex  
Partisan Asymmetries in Exposure to Misinformation. Rao, A.; Morstatter, F.; and Lerman, K. arXiv preprint arXiv:2203.01350. 2022.
link   bibtex  
Road network evolution in the urban and rural United States since 1900. Burghardt, K.; Uhl, J. H; Lerman, K.; and Leyk, S. Computers, Environment and Urban Systems, 95: 101803. 2022.
link   bibtex  
Scale-free degree distributions, homophily and the glass ceiling effect in directed networks. Nettasinghe, B.; Alipourfard, N.; Iota, S.; Krishnamurthy, V.; and Lerman, K. Journal of Complex Networks, 10(2): cnac007. 2022.
link   bibtex  
Unequal impact and spatial aggregation distort covid-19 growth rates. Burghardt, K.; Guo, S.; and Lerman, K. Philosophical Transactions of the Royal Society A, 380(2214): 20210122. 2022.
link   bibtex  
  2021 (21)
Mapping Moral Valence of Tweets Following the Killing of George Floyd. Priniski, J H.; Mokhberian, N.; Harandizadeh, B.; Morstatter, F.; Lerman, K.; Lu, H.; and Brantingham, P J. arXiv preprint arXiv:2104.09578. 2021.
link   bibtex  
The emergence of heterogeneous scaling in research institutions. Burghardt, K. A; He, Z.; Percus, A. G; and Lerman, K. Communications Physics, 4(1): 1–6. 2021.
link   bibtex  
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings. He, Z.; Mokhberian, N.; Câmara, A.; Abeliuk, A.; and Lerman, K. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 2102–2118, 2021.
link   bibtex  
Speaker Turn Modeling for Dialogue Act Classification. He, Z.; Tavabi, L.; Lerman, K.; and Soleymani, M. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 2150–2157, 2021.
link   bibtex  
Disaggregation via Gaussian regression for robust analysis of heterogeneous data. Alipourfard, N.; Burghardt, K.; and Lerman, K. Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods. 2021.
link   bibtex  
Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing. Yan, S.; Kao, H.; Lerman, K.; Narayanan, S.; and Ferrara, E. In 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), pages 1–8, 2021. IEEE
link   bibtex  
Explaining classification performance and bias via network structure and sampling technique. Espı́n-Noboa, Lisette; Karimi, F.; Ribeiro, B.; Lerman, K.; and Wagner, C. Applied Network Science, 6(1): 1–25. 2021.
link   bibtex  
A survey on bias and fairness in machine learning. Mehrabi, N.; Morstatter, F.; Saxena, N.; Lerman, K.; and Galstyan, A. ACM Computing Surveys (CSUR), 54(6): 1–35. 2021.
doi   link   bibtex   1 download  
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect. Nettasinghe, B.; Alipourfard, N.; Krishnamurthy, V.; and Lerman, K. arXiv preprint arXiv:2103.12149. 2021.
link   bibtex  
Emergence of Structural Inequalities in Scientific Citation Networks. Nettasinghe, B.; Alipourfard, N.; Krishnamurthy, V.; and Lerman, K. arXiv preprint arXiv:2103.10944. 2021.
link   bibtex  
Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis. Rao, A.; Morstatter, F.; Hu, M.; Chen, E.; Burghardt, K.; Ferrara, E.; Lerman, K.; and others Journal of Medical Internet Research, 23(6): e26692. 2021.
link   bibtex  
Socioeconomic Correlates of Anti-Science Attitudes in the US. Hu, M.; Rao, A.; Kejriwal, M.; and Lerman, K. Future Internet, 13(6): 160. 2021.
link   bibtex   2 downloads  
Gender disparity in the authorship of biomedical research publications during the COVID-19 pandemic: Retrospective observational study. Muric, G.; Lerman, K.; and Ferrara, E. Journal of medical Internet research, 23(4): e25379. 2021.
link   bibtex  
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. Burghardt, K.; Tavabi, N.; Ferrara, E.; Narayanan, S.; and Lerman, K. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pages 257–267, 2021. Springer
link   bibtex  
Identifying Shifts in Collective Attention to Topics on Social Media. He, Y.; Rao, A.; Burghardt, K.; and Lerman, K. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pages 224–234, 2021. Springer
link   bibtex  
Auditing Algorithmic Bias on Twitter. Bartley, N.; Abeliuk, A.; Ferrara, E.; and Lerman, K. In 13th ACM Web Science Conference 2021, pages 65–73, 2021.
link   bibtex  
Limiting Tags Fosters Efficiency. Santos, T.; Burghardt, K.; Lerman, K.; and Helic, D. In 13th ACM Web Science Conference 2021, pages 46–55, 2021.
link   bibtex  
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game. He, Y.; Tran, C.; Jiang, J.; Burghardt, K.; Ferrara, E.; Zheleva, E.; and Lerman, K. In The 16th International Conference on the Foundations of Digital Games (FDG) 2021, pages 1–9, 2021.
link   bibtex  
The Wide, the Deep, and the Maverick: Types of Players in Team-based Online Games. Jiang, J.; Maldeniya, D.; Lerman, K.; and Ferrara, E. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1): 1–26. 2021.
link   bibtex  
Follow the leader: Documents on the leading edge of semantic change get more citations. Soni, S.; Lerman, K.; and Eisenstein, J. Journal of the Association for Information Science and Technology, 72(4): 478–492. 2021.
link   bibtex  
COVID-19 misinformation and the 2020 US presidential election. Chen, E.; Chang, H.; Rao, A.; Lerman, K.; Cowan, G.; and Ferrara, E. The Harvard Kennedy School Misinformation Review. 2021.
link   bibtex  
  2020 (18)
Learning Behavioral Representations from Wearable Sensors. Tavabi, N.; Hosseinmardi, H.; Villatte, J. L; Abeliuk, A.; Narayanan, S.; Ferrara, E.; and Lerman, K. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pages 245–254, 2020. Springer
link   bibtex  
Moral Framing and Ideological Bias of News. Mokhberian, N.; Abeliuk, A.; Cummings, P.; and Lerman, K. In International Conference on Social Informatics, pages 206–219, 2020. Springer
link   bibtex  
TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers. Mundnich, K.; Booth, B. M; l�Hommedieu , M.; Feng, T.; Girault, B.; L�hommedieu, J.; Wildman, M.; Skaaden, S.; Nadarajan, A.; Villatte, J. L; and others Scientific Data, 7(1): 1–26. 2020.
link   bibtex  
Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. Chen, E.; Lerman, K.; and Ferrara, E. JMIR Public Health Surveill, 6(2): e19273. May 2020.
Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set [link]Paper   doi   link   bibtex  
Political polarization drives online conversations about COVID-19 in the United States. Jiang, J.; Chen, E.; Yan, S.; Lerman, K.; and Ferrara, E. Human Behavior and Emerging Technology, 2: 200-211. jul 2020.
doi   link   bibtex   abstract  
Graph embedding with personalized context distribution. Huang, D.; He, Z.; Huang, Y.; Sun, K.; Abu-El-Haija, S.; Perozzi, B.; Lerman, K.; Morstatter, F.; and Galstyan, A. In Companion Proceedings of the Web Conference 2020, pages 655–661, 2020.
link   bibtex  
The transsortative structure of networks. Ngo, S.; Percus, A. G; Burghardt, K.; and Lerman, K. Proceedings of the Royal Society A, 476(2237): 20190772. 2020.
link   bibtex  
Massive Cross-Platform Simulations of Online Social Networks. Murić, G.; Tregubov, A.; Blythe, J.; Abeliuk, A.; Choudhary, D.; Lerman, K.; and Ferrara, E. In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, pages 895–903, 2020.
link   bibtex  
Predictability limit of partially observed systems. Abeliuk, A.; Huang, Z.; Ferrara, E.; and Lerman, K. Scientific Reports, 10(20427). 2020.
doi   link   bibtex  
Can Badges Foster a More Welcoming Culture on Q&A Boards?. Santos, T.; Burghardt, K.; Lerman, K.; and Helic, D. In Proceedings of the International AAAI Conference on Web and Social Media, volume 14, pages 969–973, 2020.
link   bibtex  
Origins of Algorithmic Instabilities in Crowdsourced Ranking. Burghardt, K.; Hogg, T.; D'Souza, R.; Lerman, K.; and Posfai, M. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2): 1–20. 2020.
link   bibtex  
A Geometric Solution to Fair Representations. He, Y.; Burghardt, K.; and Lerman, K. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, pages 279–285, 2020.
link   bibtex  
User-Based Collaborative Filtering Mobile Health System. Kao, H.; Yan, S.; Hosseinmardi, H.; Narayanan, S.; Lerman, K.; and Ferrara, E. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4): 1–17. 2020.
link   bibtex  
TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers. Mundnich, K.; Booth, B. M; l'Hommedieu , M.; Feng, T.; Girault, B.; L'Hommedieu, J.; Wildman, M.; Skaaden, S.; Nadarajan, A.; Villatte, J. L; Falk, T. H; Lerman, K.; Ferrara, E.; and Narayanan, S. Scientific Data, 7(354). 2020.
doi   link   bibtex  
Affect Estimation with Wearable Sensors. Yan, S.; Hosseinmardi, H.; Kao, H.; Narayanan, S.; Lerman, K.; and Ferrara, E. Journal of Healthcare Informatics Research,1–34. 2020.
link   bibtex  
Challenges in Forecasting Malicious Events from Incomplete Data. Tavabi, N.; Abeliuk, A.; Mokhberian, N.; Abramson, J.; and Lerman, K. In Companion Proceedings of the Web Conference 2020, pages 603–610, 2020.
link   bibtex   48 downloads  
Graph Embedding with Personalized Context Distribution. Huang, D.; He, Z.; Huang, Y.; Sun, K.; Abu-El-Haija, S.; Perozzi, B.; Lerman, K.; Morstatter, F.; and Galstyan, A. In Companion Proceedings of the Web Conference 2020, pages 655–661, 2020.
link   bibtex  
Friendship paradox biases perceptions in directed networks. Alipourfard, N.; Nettasinghe, B.; Abeliuk, A.; Krishnamurthy, V.; and Lerman, K. Nature communications, 11(1): 1–9. 2020.
link   bibtex  
  2019 (17)
BD2K Training Coordinating Center's ERuDIte: the Educational Resource Discovery Index for Data Science. Ambite, J. L.; Fierro, L.; Gordon, J.; Burns, G.; Geigl, F.; Lerman, K.; and Van Horn, J. D IEEE Transactions on Emerging Topics in Computing. 2019.
link   bibtex  
Finding Prerequisite Relations using the Wikipedia Clickstream. Sayyadiharikandeh, M.; Gordon, J.; Ambite, J.; and Lerman, K. In Companion Proceedings of The 2019 World Wide Web Conference, pages 1240–1247, 2019.
link   bibtex  
Diffusion in social networks: Effects of monophilic contagion, friendship paradox and reactive networks. Nettasinghe, B.; Krishnamurthy, V.; and Lerman, K. IEEE Transactions on Network Science and Engineering. 2019.
link   bibtex  
Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing. Abu-El-Haija, S.; Perozzi, B.; Kapoor, A.; Alipourfard, N.; Lerman, K.; Harutyunyan, H.; Steeg, G. V.; and Galstyan, A. arXiv preprint arXiv:1905.00067. 2019.
link   bibtex  
The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem. Blythe, J.; Ferrara, E.; Huang, D.; Lerman, K.; Muric, G.; Sapienza, A.; Tregubov, A.; Pacheco, D.; Bollenbacher, J.; Flammini, A.; and others In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, pages 1835–1837, 2019. International Foundation for Autonomous Agents and Multiagent Systems
link   bibtex   5 downloads  
Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem. Krohn, R.; Pacheco, D.; Muric, G.; Sapienza, A.; Tregubov, A.; Ahn, Y.; Flammini, A.; Lerman, K.; Menczer, F.; Weninger, T.; and others In Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection: 17th International Conference, PAAMS 2019, Ávila, Spain, June 26-28, 2019, Proceedings, volume 11523, pages 3, 2019. Springer
link   bibtex  
Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem. Blythe, J.; Bollenbacher, J.; Huang, D.; Hui, P.; Krohn, R.; Pacheco, D.; Muric, G.; Sapienza, A.; Tregubov, A.; Ahn, Y.; and others In International Conference on Practical Applications of Agents and Multi-Agent Systems, pages 3–15, 2019. Springer, Cham
link   bibtex   14 downloads  
Predicting and explaining behavioral data with structured feature space decomposition. Fennell, P. G; Zuo, Z.; and Lerman, K. EPJ Data Science, 8(1): 23. 2019.
doi   link   bibtex  
SAGE: a hybrid geopolitical event forecasting system. Morstatter, F.; Galstyan, A.; Satyukov, G.; Benjamin, D.; Abeliuk, A.; Mirtaheri, M.; Hossain, K.; Szekely, P.; Ferrara, E.; Matsui, A.; and others In Proceedings of the 28th International Joint Conference on Artificial Intelligence, pages 6557–6559, 2019. AAAI Press
link   bibtex  
Collaboration Drives Individual Productivity. Murić, G.; Abeliuk, A.; Lerman, K.; and Ferrara, E. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW): 1–24. 2019.
link   bibtex  
Estimating individualized daily self-reported affect with wearable sensors. Yan, S.; Hosseinmardi, H.; Kao, H.; Narayanan, S.; Lerman, K.; and Ferrara, E. In 2019 IEEE International Conference on Healthcare Informatics (ICHI), pages 1–9, 2019. IEEE
link   bibtex  
Lessons Learned: Recommendations For Implementing a Longitudinal Study Using Wearable and Environmental Sensors in a Health Care Organization. L'Hommedieu, M.; L'Hommedieu, J.; Begay, C.; Schenone, A.; Dimitropoulou, L.; Margolin, G.; Falk, T.; Ferrara, E.; Lerman, K.; and Narayanan, S. JMIR mHealth and uHealth, 7(12): e13305. 2019.
link   bibtex  
Linguistic Cues to Deception: Identifying Political Trolls on Social Media. Addawood, A.; Badawy, A.; Lerman, K.; and Ferrara, E. In Proceedings of the International AAAI Conference on Web and Social Media, volume 13, pages 15–25, 2019.
link   bibtex  
Who Falls for Online Political Manipulation?. Badawy, A.; Lerman, K.; and Ferrara, E. In Companion Proceedings of The 2019 World Wide Web Conference, pages 162–168, 2019. ACM
link   bibtex  
Characterizing the 2016 Russian IRA influence campaign. Badawy, A.; Addawood, A.; Lerman, K.; and Ferrara, E. Social Network Analysis and Mining, 9(1): 31. 2019.
link   bibtex  
Finding Prerequisite Relations using the Wikipedia Clickstream. Sayyadiharikandeh, M.; Gordon, J.; Ambite, J. L.; and Lerman, K. In Proceedings of the Companion to The Web Conference: CyberSafety Workshop, 2019.
link   bibtex  
Characterizing Activity on the Deep and DarkWeb. Tavabi, N.; Bartley, N.; Abeliuk, A.; Soni, S.; Ferrara, E.; and Lerman, K. In Proceedings of the Companion to The Web Conference: CyberSafety Workshop, 2019.
link   bibtex  
  2018 (14)
Analyzing the digital traces of political manipulation: the 2016 Russian interference Twitter campaign. Badawy, A.; Ferrara, E.; and Lerman, K. In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pages 258–265, 2018. IEEE
link   bibtex  
Discovering Latent Psychological Structures from Self-report Assessments of Hospital Workers. Kao, H.; Hosseinmardi, H.; Yan, S.; Hasan, M.; Narayanan, S.; Lerman, K.; and Ferrara, E. In The 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing, 2018.
link   bibtex  
Degree correlations amplify the growth of cascades in networks. Wu, X.; Fennell, P. G.; Percus, A. G.; and Lerman, K. Phys. Rev. E, 98: 022321. Aug 2018.
Degree correlations amplify the growth of cascades in networks [link]Paper   doi   link   bibtex  
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign. In Proceedings of The international conference series on Advances in Social Network Analysis and Mining (ASONAM-2018), 2018.
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign [link]Paper   link   bibtex   abstract  
Model of cognitive dynamics predicts performance on standardized tests. Hodas, N. O.; Hunter, J.; Young, S. J.; and Lerman, K. Journal of Computational Social Science. Aug 2018.
Model of cognitive dynamics predicts performance on standardized tests [link]Paper   doi   link   bibtex   abstract  
Individual performance in team-based online games. Sapienza, A.; Zeng, Y.; Bessi, A.; Lerman, K.; and Ferrara, E. Royal Society Open Science, 5(6): 180329. 2018.
link   bibtex  
Quantifying the Impact of Cognitive Biases in Question-Answering Systems. Burghardt, K.; Hogg, T.; and Lerman, K. In Proceedings of the 12th International AAAI Conference On Web And Social Media (ICWSM2018), 2018. AAAI
link   bibtex   abstract  
Modeling Evolution of Topics in Large-Scale Temporal Text Corpora. Momeni, E.; Karunasekera, S.; Goyal, P.; and Lerman, K. In Twelfth International AAAI Conference on Web and Social Media, 2018.
link   bibtex  
Using Simpson�s Paradox to Discover Interesting Patterns in Behavioral Data. Alipourfard, N.; Fennell, P. G.; and Lerman, K. In Proceedings of the 12th International AAAI Conference On Web And Social Media (ICWSM2018), 2018. AAAI
Using Simpson�s Paradox to Discover Interesting Patterns in Behavioral Data [link]Paper   link   bibtex   abstract  
Towards Quantifying Sampling Bias in Networks. Lisette Espin Noboa, C. W.; and Fariba Karimi, K. L. In Proceedings of the International workshop on Mining Attributed Networks WWW�2018 , 2018.
link   bibtex  
DISCOVER: Mining Online Chatter for Emerging Cyber Threats. Sapienza, A.; Ernala, S. K.; Bessi, A.; Lerman, K.; and Ferrara, E. In Proceedings of WWW Companion for the Third International Workshop on Computational Methods for CyberSafety, 2018.
link   bibtex   7 downloads  
DarkEmbed: Exploit Prediction with Neural Language Models. Tavabi, N.; Goyal, P.; Almukaynizi, M.; Shakarian, P.; and Lerman, K. In Proceedings of AAAI Conference on Innovative Applications of AI (IAAI2018), 2018.
DarkEmbed: Exploit Prediction with Neural Language Models [link]Paper   link   bibtex   16 downloads  
Can you Trust the Trend? Discovering Simpson�s Paradoxes in Social Data. Alipourfard, N.; Fennell, P.; and Lerman, K. In Proceedings of the 11th International ACM Conference on Web Search and Data Mining (WSDM), 2018. ACM
doi   link   bibtex   abstract  
Computational social scientist beware: Simpson's paradox in behavioral data. Lerman, K. Journal of Computational Social Science, 1(1): 49–58. Jan 2018.
Computational social scientist beware: Simpson's paradox in behavioral data [link]Paper   doi   link   bibtex   abstract  
  2017 (19)
Identifying Sentiment of Hookah-Related Posts on Twitter. Allem, J.; Ramanujam, J.; Lerman, K.; Chu, K.; Cruz, T. B.; and Unger, J. B JMIR Public Health and Surveillance, 3(4). 2017.
Identifying Sentiment of Hookah-Related Posts on Twitter [link]Paper   link   bibtex  
Early Warnings of Cyber Threats in Online Discussions. Sapienza, A.; Bessi, A.; Damodaran, S.; Shakarian, P.; Lerman, K.; and Ferrara, E. In 2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017, pages 667–674, 2017.
Early Warnings of Cyber Threats in Online Discussions [link]Paper   doi   link   bibtex   6 downloads  
BD2K ERuDIte: the Educational Resource Discovery Index for Data Science. Ambite, J. L.; Fierro, L.; Geigl, F.; Gordon, J.; Burns, G. A.; Lerman, K.; and Van Horn, J. D In Proceedings of the 26th International Conference on World Wide Web Companion, pages 1203–1211, 2017. International World Wide Web Conferences Steering Committee
link   bibtex  
Graph Filters and the Z-Laplacian. Yan, X.; Sadler, B. M.; Drost, R. J.; Yu, P. L.; and Lerman, K. IEEE Journal of Selected Topics in Signal Processing, 11(6): 774–784. 2017.
link   bibtex   abstract  
Multi-layer network composition under a unified dynamical process. Yan, X.; Teng, S.; and Lerman, K. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (SBP), pages 315–321, 2017. Springer
link   bibtex  
Language, demographics, emotions, and the structure of online social networks. Lerman, K.; Marin, L. G.; Arora, M.; de Lima, L. H. C.; Ferrara, E.; and Garcia, D. Journal of Computational Social Science. Oct 2017.
Language, demographics, emotions, and the structure of online social networks [link]Paper   doi   link   bibtex   abstract  
Deep Context: A Neural Language Model for Large-scale Networked Documents . Wu, H.; and Lerman, K. In , editor(s), Proceedings of International Joint Conference on AI (IJCAI), 2017.
link   bibtex  
Network vector: distributed representations of networks with global context. Wu, H.; and Lerman, K. arXiv preprint arXiv:1709.02448. 2017.
link   bibtex  
Neighbor-Neighbor Correlations Explain Measurement Bias in Networks. Wu, X.; Percus, A. G; and Lerman, K. Scientific Reports, 7(5576). jul 2017.
doi   link   bibtex  
On Quitting: Performance and Practice in Online Game Play. Agarwal, T.; Burghardt, K.; and Lerman, K. In , editor(s), Proceedings of 11th AAAI International Conference on Web and Social Media, 2017. AAAI
On Quitting: Performance and Practice in Online Game Play [link]Paper   link   bibtex   abstract  
Dynamics of Content Quality in Collaborative Knowledge Production. Ferrara, E.; Alipourfard, N.; Burghardt, K.; Gopal, C.; and Lerman, K. In , editor(s), Proceedings of 11th AAAI International Conference on Web and Social Media, 2017. AAAI
link   bibtex   abstract  
The myopia of crowds: Cognitive load and collective evaluation of answers on Stack Exchange. Burghardt, K.; Alsina, E. F.; Girvan, M.; Rand, W.; and Lerman, K. PLOS ONE, 12(3): e0173610+. March 2017.
The myopia of crowds: Cognitive load and collective evaluation of answers on Stack Exchange [link]Paper   doi   link   bibtex   abstract   3 downloads  
Effort Mediates Access to Information in Online Social Networks. Kang, J.; and Lerman, K. ACM Transactions on the Web, 11(1): 3:1–3:19. March 2017.
Effort Mediates Access to Information in Online Social Networks [link]Paper   doi   link   bibtex   2 downloads  
Travel analytics: Understanding how destination choice and business clusters are connected based on social media data. Huang, A.; Gallegos, L.; and Lerman, K. Transportation Research Part C: Emerging Technologies, 77: 245–256. April 2017.
Travel analytics: Understanding how destination choice and business clusters are connected based on social media data [link]Paper   doi   link   bibtex   abstract   1 download  
Taming the Unpredictability of Cultural Markets with Social Influence. Abeliuk, A.; Berbeglia, G.; Hentenryck, P. V.; Hogg, T.; and Lerman, K. In Proceedings of the 26th International World Wide Web Conference (WWW2017), 2017.
link   bibtex   abstract  
iPhone's Digital Marketplace: Characterizing the Big Spenders. Kooti, F.; Grbovic, M.; Aiello, L. M.; Bax, E.; and Lerman, K. In Proceedings of the 10th International ACM Conference on Web Search and Data Mining, 2017. ACM
link   bibtex   abstract  
Analyzing the Ride-sharing Economy. Kooti, F.; Grbovic, M.; Aiello, L. M.; Djuric, N.; Radosavljevic, V.; and Lerman, K. In Proceedings of the 26th International World Wide Web Conference (Companion WWW2017), 2017.
link   bibtex   abstract  
Understanding Short-term Changes in Online Activity Sessions. Kooti, F.; Subbian, K.; Mason, W.; Adamic, L.; and Lerman, K. In Proceedings of the 26th International World Wide Web Conference (Companion WWW2017), 2017.
link   bibtex   abstract  
Bounded rationality in scholarly knowledge discovery. Lerman, K.; Hodas, N.; and Wu, H. arXiv preprint arXiv:1710.00269. 2017.
link   bibtex  
  2016 (15)
Twitter Session Analytics: Profiling Users� Short-term Behavioral Changes. Kooti, F.; Moro, E.; and Lerman, K. In Spiro, E; and Ahn, Y., editor(s), Proceedings of the 8th International Conference (SocInfo2016), pages 71–86, 2016. Springer
link   bibtex   abstract  
Partitioning Networks with Node Attributes by Compressing Information Flow. Smith, L. M.; Zhu, L.; Lerman, K.; and Percus, A. G. ACM Trans. Knowl. Discov. Data, 11(2): 15:1–15:26. November 2016.
Partitioning Networks with Node Attributes by Compressing Information Flow [link]Paper   doi   link   bibtex   abstract   1 download  
Modified Cheeger and Ratio Cut Methods Using the Ginzburg-Landau Functional for Classification of High-Dimensional Data. Merkurjev, E.; Bertozzi, A.; Yan, X.; and Lerman, K. to appear in Inverse Problems. 2016.
link   bibtex   abstract