The Art and Science of Dynamic Network Visualization. - Skye Bender-deMoll; Daniel A. McFarland (J. Soc. Struct., 2006)

It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates. - Rajesh Ranganath; Daniel Jurafsky; Daniel A. McFarland (EMNLP, 2009)

Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation. - Daniel Jurafsky; Rajesh Ranganath; Daniel A. McFarland (HLT-NAACL, 2009)

Citing for high impact. - Xiaolin Shi; Jure Leskovec; Daniel A. McFarland (JCDL, 2010)

LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. - Ramesh Nallapati; Xiaolin Shi; Daniel A. McFarland; Jure Leskovec; Daniel Jurafsky (ICWSM, 2011)

A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model. - Nikhil Johri; Daniel Ramage; Daniel A. McFarland; Daniel Jurafsky (LaTeCH@ACL, 2011)

TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents. - Ramesh Nallapati; Daniel A. McFarland; Christopher D. Manning (AISTATS, 2011)

Towards a Computational History of the ACL: 1980-2008. - Ashton Anderson; Dan Jurafsky; Daniel A. McFarland (Discoveries@ACL, 2012)

Measurement error in network data: A re-classification. - Dan J. Wang; Xiaolin Shi; Daniel A. McFarland; Jure Leskovec (Soc. Networks, 2012)

Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates. - Rajesh Ranganath; Dan Jurafsky; Daniel A. McFarland (Comput. Speech Lang., 2013)

The Semiformal Organization. - Susan Biancani; Daniel A. McFarland; Linus Dahlander (Organ. Sci., 2014)

Big Data and the danger of being precisely inaccurate. - Daniel A. McFarland; H. Richard McFarland (Big Data Soc., 2015)

Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. - Vinodkumar Prabhakaran; William L. Hamilton; Daniel A. McFarland; Dan Jurafsky (ACL (1), 2016)

Citation Classification for Behavioral Analysis of a Scientific Field. - David Jurgens; Srijan Kumar; Raine Hoover; Daniel A. McFarland; Dan Jurafsky (CoRR, 2016)

Modeling Affinity based Popularity Dynamics. - Minkyoung Kim; Daniel A. McFarland; Jure Leskovec (CIKM, 2017)

Measuring the Evolution of a Scientific Field through Citation Frames. - David Jurgens; Srijan Kumar; Raine Hoover; Daniel A. McFarland; Dan Jurafsky (Trans. Assoc. Comput. Linguistics, 2018)

Diversity Breeds Innovation With Discounted Impact and Recognition. - Bas Hofstra; Sebastian Munoz-Najar Galvez; Bryan He; Vivek V. Kulkarni; Daniel A. McFarland (CoRR, 2019)

Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora. - Hancheng Cao; Mengjie Cheng; Zhepeng Cen; Daniel A. McFarland; Xiang Ren 001 (EMNLP (Findings), 2020)

Mapping Three Decades of Intellectual Change in Academia. - Daniel Ramage; Christopher D. Manning; Daniel A. McFarland (CoRR, 2020)

Bayesian mixed-effect models for independent dynamic social network data. - Fabio Vieira; Roger Th. A. J. Leenders; Daniel A. McFarland; Joris Mulder (CoRR, 2022)

Systematic analysis of 50 years of Stanford University technology transfer and commercialization. - Weixin Liang; Scott Elrod; Daniel A. McFarland; James Zou 001 (Patterns, 2022)

Writing into relationships. - Daniel A. McFarland; Tom Wolff (Soc. Networks, 2022)

Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies. - Raymond Zhang; Neha Nayak Kennard; Daniel Scott Smith; Daniel A. McFarland; Andrew McCallum; Katherine Keith (ACL (Findings), 2023)

Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research. - Hancheng Cao; Yujie Lu; Yuting Deng; Daniel A. McFarland; Michael S. Bernstein (CHI, 2023)

Can large language models provide useful feedback on research papers? A large-scale empirical analysis. - Weixin Liang; Yuhui Zhang; Hancheng Cao; Binglu Wang; Daisy Ding; Xinyu Yang 002; Kailas Vodrahalli; Siyu He; Daniel Scott Smith; Yian Yin; Daniel A. McFarland; James Zou 001 (CoRR, 2023)

The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices. - Hancheng Cao; Jesse Dodge; Kyle Lo; Daniel A. McFarland; Lucy Lu Wang (CoRR, 2023)

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. - Weixin Liang; Zachary Izzo; Yaohui Zhang; Haley Lepp; Hancheng Cao; Xuandong Zhao; Lingjiao Chen; Haotian Ye; Sheng Liu; Zhi Huang; Daniel A. McFarland; James Y. Zou (ICML, 2024)

Network Ecology: Introduction to the Special Issue. - Malte Doehne; Daniel A. McFarland; James Moody (Soc. Networks, 2024)

Networking a career: Individual adaptation in the network ecology of faculty. - Lanu Kim; Sanne Smith; Linus Dahlander; Daniel A. McFarland (Soc. Networks, 2024)

Coming into relations: How communication reveals and persuades relational decisions. - Daniel A. McFarland; David Broska; Vinodkumar Prabhakaran; Dan Jurafsky (Soc. Networks, 2024)

Network ecology: Tie fitness in social context(s). - Malte Doehne; Daniel A. McFarland; James Moody (Soc. Networks, 2024)