James P. Bagrow

According to our database1, James P. Bagrow authored at least 50 papers between 2009 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


Recovering lost and absent information in temporal networks.
CoRR, 2021

The penumbra of open source: projects outside of centralized platforms are longer maintained, more academic and more collaborative.
CoRR, 2021

Contrasting social and non-social sources of predictability in human mobility.
CoRR, 2021

A Review & Framework for Modeling Complex Engineered System Development Processes.
CoRR, 2021

Which contributions count? Analysis of attribution in open source.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Democratizing AI: non-expert design of prediction tasks.
PeerJ Comput. Sci., 2020

Complex Contagion Features without Social Reinforcement in a Model of Social Information Flow.
Entropy, 2020

The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong.
CoRR, 2020

Autocompletion interfaces make crowd workers slower, but their use promotes response diversity.
Hum. Comput., 2019

Efficient crowdsourcing of crowd-generated microtasks.
CoRR, 2019

Creativity in dynamic networks: How divergent thinking is impacted by one's choice of peers.
CoRR, 2019

Accurate inference of crowdsourcing properties when using efficient allocation strategies.
CoRR, 2019

An information-theoretic, all-scales approach to comparing networks.
Appl. Netw. Sci., 2019

Social Networks in Emergency Response.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Crowdsourcing Predictors of Residential Electric Energy Usage.
IEEE Syst. J., 2018

Efficient Crowd Exploration of Large Networks: The Case of Causal Attribution.
Proc. ACM Hum. Comput. Interact., 2018

Inferring the size of the causal universe: features and fusion of causal attribution networks.
CoRR, 2018

Neural language representations predict outcomes of scientific research.
CoRR, 2018

Crowd ideation of supervised learning problems.
CoRR, 2018

The quoter model: a paradigmatic model of the social flow of written information.
CoRR, 2017

Information flow reveals prediction limits in online social activity.
CoRR, 2017

Information spreading during emergencies and anomalous events.
CoRR, 2017

Predicting an Effect Event from a New Cause Event Using a Semantic Web Based Abstraction Tree of Past Cause-Effect Event Pairs.
Proceedings of the 4th Annual International Symposium on Information Management and Big Data, 2017

Which friends are more popular than you?: Contact strength and the friendship paradox in social networks.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Selection models of language production support informed text partitioning: an intuitive and practical, bag-of-phrases framework for text analysis.
CoRR, 2016

Reply & Supply: Efficient crowdsourced exploration for growing question sets and nets.
CoRR, 2016

What we write about when we write about causality: Features of causal statements across large-scale social discourse.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Robustness and modular structure in networks.
Netw. Sci., 2015

Identifying missing dictionary entries with frequency-conserving context models.
CoRR, 2015

Robustness of Spatial Micronetworks.
CoRR, 2015

Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics.
CoRR, 2015

Social Networks in Emergency Response.
Encyclopedia of Social Network Analysis and Mining, 2014

Zipf's law holds for phrases, not words.
CoRR, 2014

Text mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural language.
CoRR, 2014

Understanding the group dynamics and success of teams.
CoRR, 2014

Quantifying Information Flow During Emergencies.
CoRR, 2014

Constructing a taxonomy of fine-grained human movement and activity motifs through social media.
CoRR, 2014

Human language reveals a universal positivity bias.
CoRR, 2014

Robustness of skeletons and salient features in networks.
J. Complex Networks, 2014

Shadow networks: Discovering hidden nodes with models of information flow.
CoRR, 2013

"Quantifying Bias in Social and Mainstream Media" by Yu-Ru Lin, James P. Bagrow, and David Lazer with Ching-man Au Yeung as coordinator.
SIGWEB Newsl., 2012

Natural emergence of clusters and bursts in network evolution
CoRR, 2012

The role of caretakers in disease dynamics
CoRR, 2012

Spatiotemporal features of human mobility
CoRR, 2012

Are communities just bottlenecks? Trees and treelike networks have high modularity
CoRR, 2012

Flavor network and the principles of food pairing
CoRR, 2011

Collective response of human populations to large-scale emergencies
CoRR, 2011

Visualizing Relations Using the "Observable Representation".
Adv. Complex Syst., 2011

More Voices Than Ever? Quantifying Media Bias in Networks.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Investigating Bimodal Clustering in Human Mobility.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009