Clustering Drives Assortativity and Community Structure in Ensembles of Networks - David V. Foster; Jacob G. Foster; Peter Grassberger; Maya Paczuski (CoRR, 2010)

Tradition and Innovation in Scientists' Research Strategies - Jacob G. Foster; Andrey Rzhetsky; James A. Evans (CoRR, 2013)

Weaving the fabric of science: Dynamic network models of science's unfolding structure. - Feng Shi 005; Jacob G. Foster; James A. Evans (Soc. Networks, 2015)

Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat. - Alina Arseniev-Koehler; Jacob G. Foster (CoRR, 2020)

Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network. - Harlin Lee; Rishi Sonthalia; Jacob G. Foster (IEEE BigData, 2021)

Adapting Coreference Resolution for Processing Violent Death Narratives. - Ankith Uppunda; Susan D. Cochran; Jacob G. Foster; Alina Arseniev-Koehler; Vickie M. Mays; Kai-Wei Chang (NAACL-HLT, 2021)

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. - Bernard Koch; Emily Denton; Alex Hanna; Jacob G. Foster (NeurIPS Datasets and Benchmarks, 2021)

Integrating topic modeling and word embedding to characterize violent deaths. - Alina Arseniev-Koehler; Susan D. Cochran; Vickie M. Mays; Kai-Wei Chang; Jacob Gates Foster (CoRR, 2021)

Deep Learning of Potential Outcomes. - Bernard Koch; Tim Sainburg; Pablo Geraldo; Song Jiang 002; Yizhou Sun; Jacob Gates Foster (CoRR, 2021)

Joint Content-Context Analysis of Scientific Publications: Identifying Opportunities for Collaboration in Cognitive Science. - Lu Cheng; Harlin Lee; Girish Ganesan; William L. He; Daniel Silverston; Jacob G. Foster (CogSci, 2022)

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (CoRR, 2022)

A Simple, interpretable method to identify surprising topic shifts in scientific fields. - Lu Cheng; Jacob G. Foster; Harlin Lee (Frontiers Res. Metrics Anal., 2022)

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (Nat. Mac. Intell., 2023)