Publications
[Submitted paper on networks and organizations.]
A. Z. Jacobs, Duncan Watts.
Measurement and fairness.
ACM Conference on Fairness, Accountability and Transparency (FAccT). (2021). [arXiv, related tutorial, slides, tutorial video]
A. Z. Jacobs, Hanna Wallach.
Internet-human infrastructures: Lessons from Havana’s StreetNet.
WebConf Workshop on Innovative Ideas in Data Science, nominated for best paper. (2020). [preprint]
A. Z. Jacobs, Michaelanne Dye (joint work).
Translation tutorial: The meaning and measurement of bias: Lessons from natural language processing
ACM Conference on Fairness, Accountability and Transparency (FAccT). (2020).[ACM link, related tutorial, slides, tutorial video]
A. Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna Wallach.
Assembly in populations of social networks. CSCW Workshop on Multi-Site Research. Short paper. (2018). [arXiv]
A. Z. Jacobs.
Assembling thefacebook: Using heterogeneity to understand online social network assembly. ACM Web Science Conference (WebSci). (2015). [arXiv, data]
A. Z. Jacobs, Samuel F. Way, Johan Ugander & Aaron Clauset.
Untangling the roles of parasites in food webs with generative network models. Preprint. (2015). [arXiv]
A. Z. Jacobs, Jennifer A. Dunne, Cristopher Moore & Aaron Clauset.
Learning latent block structure in weighted networks. Journal of Complex Networks 3(2), 221-248. (2015). [arXiv]
Christopher Aicher, A. Z. Jacobs & Aaron Clauset.
A unified view of generative models for networks: models, methods, opportunities, and challenges. NIPS Workshop on Networks: From Graphs to Rich Data. (2014). [arXiv]
A. Z. Jacobs & Aaron Clauset.
Efficiently inferring community structure in bipartite networks. Physical Review E 90, 012805. (2014). [arXiv, code]
Daniel B. Larremore, Aaron Clauset & A. Z. Jacobs.
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. Oecologia 174 (3) 953-965. (2014). [publisher link]
Daniel L. Preston, A. Z. Jacobs, Sarah A. Orlofske & Pieter T.J. Johnson.
Adapting the stochastic block model to edge-weighted networks. ICML Workshop on Structured Learning (SLG). (2013). [arXiv, code]
Christopher Aicher, A. Z. Jacobs & Aaron Clauset.
Detecting friendship within dynamic online interaction networks. AAAI Conference on Weblogs and Social Media (ICWSM). (2013). [arXiv]
Sears Merritt, A. Z. Jacobs, Winter Mason & Aaron Clauset.
See also:
Comparative, population-level analysis of social networks in organizations. Dissertation. 2017.
Why so few? Network science with populations of networks. [in prep via dissertation]
A. Z. Jacobs.
Activity bias in network measurement. [in prep via dissertation]
A. Z. Jacobs, Duncan Watts.
Adapting to non-stationarity with growing expert ensembles. Preprint. (2011). [arXiv]
Cosma R. Shalizi, A. Z. Jacobs, Kristina L. Klinkner & Aaron Clauset.
[Submitted paper on networks and organizations.]
A. Z. Jacobs, Duncan Watts.
Measurement and fairness.
ACM Conference on Fairness, Accountability and Transparency (FAccT). (2021). [arXiv, related tutorial, slides, tutorial video]
A. Z. Jacobs, Hanna Wallach.
Internet-human infrastructures: Lessons from Havana’s StreetNet.
WebConf Workshop on Innovative Ideas in Data Science, nominated for best paper. (2020). [preprint]
A. Z. Jacobs, Michaelanne Dye (joint work).
Translation tutorial: The meaning and measurement of bias: Lessons from natural language processing
ACM Conference on Fairness, Accountability and Transparency (FAccT). (2020).[ACM link, related tutorial, slides, tutorial video]
A. Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna Wallach.
Assembly in populations of social networks. CSCW Workshop on Multi-Site Research. Short paper. (2018). [arXiv]
A. Z. Jacobs.
Assembling thefacebook: Using heterogeneity to understand online social network assembly. ACM Web Science Conference (WebSci). (2015). [arXiv, data]
A. Z. Jacobs, Samuel F. Way, Johan Ugander & Aaron Clauset.
Untangling the roles of parasites in food webs with generative network models. Preprint. (2015). [arXiv]
A. Z. Jacobs, Jennifer A. Dunne, Cristopher Moore & Aaron Clauset.
Learning latent block structure in weighted networks. Journal of Complex Networks 3(2), 221-248. (2015). [arXiv]
Christopher Aicher, A. Z. Jacobs & Aaron Clauset.
A unified view of generative models for networks: models, methods, opportunities, and challenges. NIPS Workshop on Networks: From Graphs to Rich Data. (2014). [arXiv]
A. Z. Jacobs & Aaron Clauset.
Efficiently inferring community structure in bipartite networks. Physical Review E 90, 012805. (2014). [arXiv, code]
Daniel B. Larremore, Aaron Clauset & A. Z. Jacobs.
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. Oecologia 174 (3) 953-965. (2014). [publisher link]
Daniel L. Preston, A. Z. Jacobs, Sarah A. Orlofske & Pieter T.J. Johnson.
Adapting the stochastic block model to edge-weighted networks. ICML Workshop on Structured Learning (SLG). (2013). [arXiv, code]
Christopher Aicher, A. Z. Jacobs & Aaron Clauset.
Detecting friendship within dynamic online interaction networks. AAAI Conference on Weblogs and Social Media (ICWSM). (2013). [arXiv]
Sears Merritt, A. Z. Jacobs, Winter Mason & Aaron Clauset.
See also:
Comparative, population-level analysis of social networks in organizations. Dissertation. 2017.
Why so few? Network science with populations of networks. [in prep via dissertation]
A. Z. Jacobs.
Activity bias in network measurement. [in prep via dissertation]
A. Z. Jacobs, Duncan Watts.
Adapting to non-stationarity with growing expert ensembles. Preprint. (2011). [arXiv]
Cosma R. Shalizi, A. Z. Jacobs, Kristina L. Klinkner & Aaron Clauset.