Michelle Girvan
#75,292
Most Influential Person Now
American physicist
Michelle Girvan's AcademicInfluence.com Rankings
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Physics
Michelle Girvan's Degrees
- PhD Physics Cornell University
- Bachelors Physics University of California, Berkeley
Why Is Michelle Girvan Influential?
(Suggest an Edit or Addition)According to Wikipedia, Michelle Girvan is an American physicist and network scientist whose research combines methods from dynamical systems, graph theory, and statistical mechanics and applies them to problems including epidemiology, gene regulation, and the study of Information cascades. She is one of the namesakes of the Girvan–Newman algorithm, used to detect community structure in complex systems.
Michelle Girvan's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Community structure in social and biological networks (2001) (13852)
- Finding and evaluating community structure in networks. (2003) (12396)
- Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach. (2018) (688)
- Policing stabilizes construction of social niches in primates (2006) (573)
- Structure of growing social networks. (2001) (539)
- Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. (2017) (382)
- The size of the sync basin. (2006) (233)
- Reservoir observers: Model-free inference of unmeasured variables in chaotic systems. (2017) (223)
- Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model (2018) (212)
- Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics (2019) (211)
- Mixing Patterns and Community Structure in Networks (2002) (169)
- Spectral properties of networks with community structure. (2009) (102)
- Simple model of epidemics with pathogen mutation. (2001) (95)
- The effect of network topology on the stability of discrete state models of genetic control (2009) (93)
- Predicting Maximum Tree Heights and Other Traits from Allometric Scaling and Resource Limitations (2011) (90)
- External periodic driving of large systems of globally coupled phase oscillators. (2007) (78)
- Optimal design, robustness, and risk aversion. (2002) (73)
- Continuous versus Discontinuous Transitions in the D -Dimensional Generalized Kuramoto Model: Odd D is Different (2018) (55)
- Resynchronization of circadian oscillators and the east-west asymmetry of jet-lag. (2016) (55)
- Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems (2020) (54)
- Annotation Enrichment Analysis: An Alternative Method for Evaluating the Functional Properties of Gene Sets (2012) (53)
- Onset of irreversibility in cyclic shear of granular packings. (2011) (51)
- Migratory Connectivity and Rate of Population Decline in a Vulnerable Songbird (2008) (34)
- Dynamical transitions in large systems of mean field-coupled Landau-Stuart oscillators: Extensive chaos and cluster states. (2014) (34)
- Local synchronization in complex networks of coupled oscillators. (2011) (31)
- Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms (2019) (29)
- Path to fracture in granular flows: dynamics of contact networks. (2011) (29)
- Robustness of Network Measures to Link Errors (2013) (28)
- Modeling the network dynamics of pulse-coupled neurons. (2017) (28)
- Competing Opinions and Stubborness: Connecting Models to Data (2014) (27)
- Multiscale dynamics in communities of phase oscillators. (2011) (27)
- Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components (2021) (26)
- The myopia of crowds: Cognitive load and collective evaluation of answers on Stack Exchange (2016) (26)
- Complexity reduction ansatz for systems of interacting orientable agents: Beyond the Kuramoto model. (2018) (25)
- Echo phenomena in large systems of coupled oscillators. (2008) (23)
- Dynamical instability in Boolean networks as a percolation problem. (2012) (22)
- Predictability of User Behavior in Social Media: Bottom-Up v. Top-Down Modeling (2013) (22)
- Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate,regime transitions, and the effect of stochasticity. (2021) (22)
- Separation of Chaotic Signals by Reservoir Computing (2019) (20)
- Long-distance Dispersal Patterns of Male Cerulean Warblers ( Dendroica cerulea ) Measured by Stable-hydrogen Isotopes (2007) (17)
- WITHIN-PAIR INTERACTIONS AND PARENTAL BEHAVIOR OF CERULEAN WARBLERS BREEDING IN EASTERN ONTARIO (2006) (17)
- Analysis of multiple physical parameters for mechanical phenotyping of living cells (2013) (17)
- Weakly explosive percolation in directed networks. (2013) (17)
- Single-cell systems biology: probing the basic unit of information flow. (2018) (16)
- Stability of Boolean networks: the joint effects of topology and update rules. (2013) (15)
- Topological properties of chromosome conformation graphs reflect spatial proximities within chromatin (2013) (14)
- Modeling the Dynamics of Bivalent Histone Modifications (2013) (14)
- The Myopia of Crowds: A Study of Collective Evaluation on Stack Exchange (2016) (14)
- Identifying and predicting Parkinson’s disease subtypes through trajectory clustering via bipartite networks (2019) (14)
- Finding New Order in Biological Functions from the Network Structure of Gene Annotations (2012) (13)
- Forecasting high tide: Predicting times of elevated activity in online social media (2015) (13)
- Spatially embedded growing small-world networks (2013) (11)
- MYC amplifies gene expression through global changes in transcription factor dynamics. (2020) (11)
- Interpreting Patterns of Gene Expression: Signatures of Coregulation, the Data Processing Inequality, and Triplet Motifs (2012) (10)
- Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach (2018) (9)
- Erratum: Spectral properties of networks with community structure [Phys. Rev. E 80, 056114 (2009)] (2012) (8)
- Implications of functional similarity for gene regulatory interactions (2012) (8)
- Understanding the Predictive Power of Computational Mechanics and Echo State Networks in Social Media (2013) (8)
- Map model for synchronization of systems of many coupled oscillators. (2010) (8)
- A pathway-centric view of spatial proximity in the 3D nucleome across cell lines (2015) (7)
- Parallel Machine Learning for Forecasting the Dynamics of Complex Networks (2021) (6)
- Reversibility of granular rotations and translations. (2018) (5)
- Prediction of Elevated Activity in Online Social Media Using Aggregated and Individualized Models (2017) (5)
- Stability of Boolean networks with generalized canalizing rules. (2009) (5)
- Complexity-Regularized Regression for Serially-Correlated Residuals with Applications to Stock Market Data (2014) (4)
- Inhibitory neurons promote robust critical firing dynamics in networks of integrate-and-fire neurons. (2016) (4)
- A network function-based definition of communities in complex networks. (2012) (4)
- The Impact of Imperfect Information on Network Attack (2014) (4)
- Inferring models of opinion dynamics from aggregated jury data (2019) (4)
- Critical network cascades with re-excitable nodes: Why treelike approximations usually work, when they break down, and how to correct them. (2019) (3)
- Consequences of anomalous diffusion in disordered systems under cyclic forcing. (2012) (3)
- An integrated model for interdisciplinary graduate education: Computation and mathematics for biological networks (2021) (2)
- Continuous vs. Discontinuous Transitions in the Generalized Kuramoto Model: The Strong Effect of Dimensionality (2018) (2)
- A Living, Single Cell View of Myc's Effects on Transcription (2019) (2)
- A hierarchical network heuristic for solving the orientation problem in genome assembly (2013) (2)
- Evidence of Herding and Stubbornness in Jury Deliberations (2017) (2)
- Using network function to define and identify community structure (2009) (2)
- Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization (2022) (2)
- Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation (2019) (1)
- Network Community Structure Community structure in social and biological networks (2018) (1)
- Computational landscape of user behavior on social media (2018) (1)
- Detecting Functional Communities in Complex Networks (2009) (1)
- Universality Under Conditions of Self-tuning (2009) (1)
- Deep-Readout Random Recurrent Neural Networks for Real-World Temporal Data (2022) (1)
- Single Molecule Analysis of Transcription in Live Cells Reveals the Gene Regulatory Function of MYC In Vivo (2017) (0)
- O ct 2 00 2 Mixing patterns and community structure in networks (2008) (0)
- A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data (2021) (0)
- Will My Followers Tweet ? Predicting Twitter Engagement using Machine Learning (2014) (0)
- M ar 2 01 2 Detecting Functional Communities in Complex Networks (0)
- Phase transitions and assortativity in models of gene regulatory networks evolved under different selection processes (2021) (0)
- Machine Learning’s ‘Amazing’ Ability to Predict Chaos (2019) (0)
- Generalized Learning with Reservoir Computing (2018) (0)
- Analysis of multiple physical parameters for mechanical phenotyping of living cells (2013) (0)
- Sync-map Description of Coupled Oscillators (2009) (0)
- Opening the black box: Improving knowledge-free machine learning with knowledge-based models (2020) (0)
- Modeling criticality in networks of neurons (2014) (0)
- Conference: Dynamics Days 2017 (2018) (0)
- Criticality and Robustness in Networks of Neurons (2018) (0)
- Hybrid Forecasting of Complex Systems: Combing Machine Learning with Knowledge-based Models (2019) (0)
- Networks of Broken Links in Granular Flows (2010) (0)
- The Joint Effect of Network Topology and Update Functions on the Stability of Boolean Networks (2013) (0)
- Publisher's Note: Stability of Boolean networks: The joint effects of topology and update rules [Phys. Rev. E 90, 022814 (2014)] (2014) (0)
- The path to fracture: dynamics of broken-link networks in granular flows (2011) (0)
- Modeling the Dynamics of Bivalent Histone Modifications in Embryonic Stem Cells (2013) (0)
- The structure and dynamics of complex networks: a statistical physics and dynamical systems approach (2004) (0)
- Cooperative rotations of 2d frictional disks under oscillatory shear (2012) (0)
- An Alternate Method for Organizing Biological Functions using Gene Annotation Networks (2012) (0)
- Patterns and complexity in biological systems: a study of sequence structure and ontology-based networks (2010) (0)
- Hybrid Backpropagation Parallel Reservoir Networks (2020) (0)
- Generalization of Learning using Reservoir Computing (2018) (0)
- Detecting cooperative sequences in the binding of RNA Polymerase-II (2008) (0)
- Network Analysis of Granular Flows (2012) (0)
- Long-distance Dispersal Patterns of Male Cerulean Warblers (Dendroica cerulea) Measured by Stable-hydrogen Isotopes Patrons de dispersion sur de longues distances de Parulines azurées mâles (Dendroica cerulea) mesurés à l'aide d'isotopes stables d'hydrogène (2007) (0)
- Why do Reservoir Computing Networks Predict Chaotic Systems so Well (2017) (0)
- Multiscale Oscillator Interactions in Large Networks of Networks (2011) (0)
- Not with a Bang : Weakly Explosive Percolation in Directed Networks (2013) (0)
- Dynamical properties of structured Boolean networks (2008) (0)
- The path to fracture: dynamics of contact networks in granular flows (2011) (0)
- Supplementary material from "Phase transitions and assortativity in models of gene regulatory networks evolved under different selection processes" (2021) (0)
- A ug 2 00 3 Finding and evaluating community structure in networks (2008) (0)
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Michelle Girvan is affiliated with the following schools:
