I am a PhD candidate in Computer Science working on computational social science & inference in social and biological networks.
- Current work: I have been collaborating with Duncan Watts at Microsoft Research NYC on a series of projects on organizations (internships 2015, 2016; consulting researcher) and with Hanna Wallach (MSR NYC) on change points in network data
- I presented work with Samuel Way, Johan Ugander and Aaron Clauset, Assembling thefacebook: Using heterogeneity to understand online social network assembly, at the International Conference on Computational Social Science (IC2S2) at Northwestern. Previously also at WIN ’15 Workshop at NYU Stern (October 2015), WebSci ’15 (July 2015); NetSci 2015 (June 2015); Dynamical Systems Seminar at University of Colorado Boulder (March 2015) [preprint; supplementary data; press: MIT Technology Review, Hoja de Router]
- I organized a satellite symposium on Statistical Inference for Network Models at NetSci 2016. The workshop was held on May 31, 2016 in Seoul, South Korea.
- I served as an organizer for the tenth annual Women in Machine Learning Workshop, a technical workshop co-located with NIPS. The workshop was held December 7, 2015 in Montreal, Canada.
- I presented recent work with Jennifer Dunne, Cris Moore and Aaron Clauset at ESA100 in Baltimore: slides here.
- I organized a satellite symposium on Statistical Inference for Network Models at NetSci 2015. The workshop was held on June 1, 2015 in Zaragoza, Spain.
- On the arXiv with Aaron Clauset: A unified view on generative models for networks: models, methods, opportunities, and challenges
Previously also at BIRS Workshop on New Perspectives for Relational Learning (April 2015); NIPS Workshop on Networks: From Graphs to Rich Data (December 2014)
- Untangling the roles of parasites in food webs with generative network models.
Abigail Z. Jacobs, Jennifer A. Dunne, Cristopher Moore, and Aaron Clauset.
Submitted/under revision (2015). [arXiv, bioRxiv, slides]
- Assembling thefacebook: Using heterogeneity to understand online social network assembly
Abigail Z. Jacobs, Samuel F. Way, Johan Ugander and Aaron Clauset.
Proc. 7th ACM Int’l Conf. on Web Science (WebSci), 2015. [arXiv, data]
- Learning latent block structure in weighted networks.
Christopher Aicher, Abigail Z. Jacobs, and Aaron Clauset.
Journal of Complex Networks 3(2), 221-248 (2015). [arXiv]
download the code
- A unified view of generative models for networks: models, methods, opportunities, and challenges.
Abigail Z. Jacobs and Aaron Clauset.
NIPS 2014 Workshop on Networks: From Graphs to Rich Data. arXiv:1411.4070 [arXiv]
- Efficiently inferring community structure in bipartite networks.
Daniel B. Larremore, Aaron Clauset, and Abigail Z. Jacobs.
Physical Review E 90, 012805 (2014). [arXiv]
download the code
- Complex life cycles in a pond food web: effects of life stage structure and parasites on network properties, trophic positions and the fit of a probabilistic niche model.
Daniel L. Preston, Abigail Z. Jacobs, Sarah A. Orlofske, Pieter T.J. Johnson.
Oecologia (2014) 174 (3) 953-965. [Springer]
- Adapting the stochastic block model to edge-weighted networks.
Christopher Aicher, Abigail Z. Jacobs and Aaron Clauset.
ICML Workshop on Structured Learning (SLG 2013). [arXiv]
download the code
- Detecting friendship within dynamic online interaction networks.
Sears Merritt, Abigail Z. Jacobs, Winter Mason and Aaron Clauset.
Proc. of the 7th International AAAI Conference on Weblogs and Social Media (ICWSM), 380 – 389 (2013). [arXiv]
- Adapting to non-stationarity with growing expert ensembles.
Cosma R. Shalizi, Abigail Z. Jacobs, Kristina L. Klinkner, and Aaron Clauset.
I am currently a PhD candidate in Computer Science at the University of Colorado, working with Aaron Clauset. I am lucky to have support from the NSF Graduate Research Fellowship. I also served as an organizer for the 2015 Women in Machine Learning (WiML) workshop, a technical workshop co-located with NIPS.