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Publications of year 2020
Thesis
  1. X. Duan. Markov Chain-Based Stochastic Strategies for Robotic Surveillance. PhD thesis, Mechanical Engineering Department, University of California at Santa Barbara, November 2020. Keyword(s): Robotic Networks.
    @PhDThesis{ xd:20,
    author = {X. Duan},
    title = {Markov Chain-Based Stochastic Strategies for Robotic Surveillance},
    school = {Mechanical Engineering Department, University of California at Santa Barbara},
    year = 2020,
    month = nov,
    pdf = {http://motion.me.ucsb.edu/pdf/phd-xd-dec20.pdf},
    keywords = {Robotic Networks} 
    }
    


  2. E. Y. Huang. Networks of Coupled Oscillators and Social Network Structures of Teams. PhD thesis, Mechanical Engineering Department, University of California at Santa Barbara, December 2020. Keyword(s): Social Networks.
    @PhDThesis{ eyh:20,
    author = {E. Y. Huang},
    title = {Networks of Coupled Oscillators and Social Network Structures of Teams},
    school = {Mechanical Engineering Department, University of California at Santa Barbara},
    year = 2020,
    month = dec,
    pdf = {http://motion.me.ucsb.edu/pdf/phd-eyh-dec20.pdf},
    keywords = {Social Networks} 
    }
    


  3. S. Mohagheghi. Network Science of Teams: Dynamics, Algorithms, and Implications. PhD thesis, Electrical and Computer Engineering Department, University of California at Santa Barbara, March 2020. Keyword(s): Social Networks.
    @PhDThesis{ sm:20,
    author = {S. Mohagheghi},
    title = {Network Science of Teams: Dynamics, Algorithms, and Implications},
    school = {Electrical and Computer Engineering Department, University of California at Santa Barbara},
    year = 2020,
    month = mar,
    pdf = {http://motion.me.ucsb.edu/pdf/phd-sm-mar20.pdf},
    keywords = {Social Networks} 
    }
    


Articles in journal, book chapters
  1. O. Askarisichani, A. Singh, F. Bullo, and N. E. Friedkin. The 1995-2018 Global Evolution of the Network of Amicable and Hostile Relations Among Nation-States. Communications Physics, 3(1):215, 2020.
    @Article{ oa-as-fb-nef:19k,
    author = {O. Askarisichani and A. Singh and F. Bullo and N. E. Friedkin},
    title = {The 1995-2018 Global Evolution of the Network of Amicable and Hostile Relations Among Nation-States},
    journal = {Communications Physics},
    year = 2020,
    volume = 3,
    number = 1,
    pages = 215,
    doi = {10.1038/s42005-020-00478-z},
    pdf = {https://arxiv.org/pdf/2005.06245.pdf} 
    }
    


  2. F. Bullo, F. Fagnani, and B. Franci. Finite-time Influence Systems and the Wisdom of Crowd Effect. SIAM Journal on Control and Optimization, 58(2):636-659, 2020.
    @Article{ fb-ff-bf:17l,
    author = {F. Bullo and F. Fagnani and B. Franci},
    title = {Finite-time Influence Systems and the Wisdom of Crowd Effect},
    journal = sicon,
    year = 2020,
    volume = 58,
    number = 2,
    pages = {636-659},
    nokeywords = {Social Networks},
    doi = {10.1137/18M1232267},
    pdf = {https://arxiv.org/pdf/1902.03827.pdf} 
    }
    


  3. Z. Chen, F. Pasqualetti, J. He, P. Cheng, H. L. Trentelman, and F. Bullo. Guest Editorial: Special Issue on Security and Privacy of Distributed Algorithms and Network Systems. IEEE Transactions on Automatic Control, 65(9):3725-3727, 2020.
    @Article{ zc-fp-jh-pc-hlt-fb:19e,
    fullauthor = {Zhiyong Chen and Fabio Pasqualetti and Jianping He and Peng Cheng and Harry L. Trentelman and Francesco Bullo},
    author = {Z. Chen and F. Pasqualetti and J. He and P. Cheng and H. L. Trentelman and F. Bullo},
    title = {Guest Editorial: Special Issue on Security and Privacy of Distributed Algorithms and Network Systems},
    year = 2020,
    journal = tac,
    volume = 65,
    number = 9,
    pages = {3725-3727},
    doi = {10.1109/TAC.2020.3004329},
    fbaffiliations= {ZHIYONG CHEN, School of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW 2308, Australia, FABIO PASQUALETTI, Department of Mechanical Engineering, University of California Riverside, CA 92521 USA, JIANPING HE, Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China PENG CHENG, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China, HARRY L. TRENTELMAN, Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, 9712 CP Groningen, The Netherlands, FRANCESCO BULLO, Department of Mechanical Engineering, University of California Santa Barbara, CA 93106 USA} 
    }
    


  4. G. Chen, W. Su, W. Mei, and F. Bullo. Convergence Properties of the Heterogeneous Deffuant-Weisbuch Model. Automatica, 114:108825, 2020.
    @Article{ gc-ws-wm-fb:18n,
    author = {G. Chen and W. Su and W. Mei and F. Bullo},
    title = {Convergence Properties of the Heterogeneous {Deffuant-Weisbuch} Model},
    journal = automatica,
    year = 2020,
    volume = 114,
    pages = 108825,
    doi = {10.1016/j.automatica.2020.108825},
    pdf = {https://arxiv.org/pdf/1901.02092.pdf} 
    }
    


  5. P. Cisneros-Velarde and F. Bullo. Signed Network Formation Games and Clustering Balance. Dynamic Games and Applications, 10:783-797, 2020.
    @Article{ pcv-fb:19g,
    author = {P. Cisneros-Velarde and F. Bullo},
    title = {Signed Network Formation Games and Clustering Balance},
    journal = {Dynamic Games and Applications},
    year = 2020,
    volume = 10,
    pages = {783-797},
    doi = {10.1007/s13235-019-00346-8},
    pdf = {https://arxiv.org/pdf/1904.02902.pdf} 
    }
    


  6. P. Cisneros-Velarde, N. E. Friedkin, A. V. Proskurnikov, and F. Bullo. Structural Balance via Gradient Flows over Signed Graphs. IEEE Transactions on Automatic Control, 66(7):3169-3183, 2020.
    @Article{ pcv-nef-avp-fb:19d,
    author = {P. Cisneros-Velarde and N. E. Friedkin and A. V. Proskurnikov and F. Bullo},
    title = {Structural Balance via Gradient Flows over Signed Graphs},
    journal = tac,
    year = 2020,
    volume = 66,
    number = 7,
    pages = {3169-3183},
    doi = {10.1109/TAC.2020.3018435},
    pdf = {https://arxiv.org/pdf/1909.11281.pdf} 
    }
    


  7. X. Duan, M. George, and F. Bullo. Markov Chains with Maximum Return Time Entropy for Robotic Surveillance. IEEE Transactions on Automatic Control, 65(1):72-86, 2020.
    @Article{ xd-mg-fb:17o,
    author = {X. Duan and M. George and F. Bullo},
    title = {Markov Chains with Maximum Return Time Entropy for Robotic Surveillance},
    year = 2020,
    journal = tac,
    oldpdf = {http://motion.me.ucsb.edu/pdf/2017o-dgb.pdf},
    pdf = {https://arxiv.org/abs/1803.07705},
    doi = {10.1109/TAC.2019.2906473},
    volume = 65,
    number = 1,
    pages = {72-86} 
    }
    


  8. X. Duan, M. George, R. Patel, and F. Bullo. Robotic Surveillance Based on the Meeting Time of Random Walks. IEEE Transactions on Robotics, 36(4):1356-1362, 2020. Keyword(s): Robotic Networks.
    @Article{ xd-mg-rp-fb:14l,
    author = {X. Duan and M. George and R. Patel and F. Bullo},
    title = {Robotic Surveillance Based on the Meeting Time of Random Walks},
    journal = tr,
    year = 2020,
    volume = 36,
    number = 4,
    pages = {1356-1362},
    doi = {10.1109/TRO.2020.2990362},
    pdf = {http://arxiv.org/abs/1912.02693},
    keywords = {Robotic Networks} 
    }
    


  9. P. Jia, N. E. Friedkin, and F. Bullo. Opinion Dynamics and Social Power Evolution: A Single-Timescale Model. IEEE Transactions on Control of Network Systems, 7(2):899-911, 2020. Keyword(s): Social Networks.
    @Article{ pj-nef-fb:14e,
    author = {P. Jia and N. E. Friedkin and F. Bullo},
    title = {Opinion Dynamics and Social Power Evolution: {A} Single-Timescale Model},
    journal = tcns,
    year = 2020,
    doi = {10.1109/TCNS.2019.2951672},
    volume = 7,
    number = 2,
    pages = {899-911},
    pdf = {https://arxiv.org/pdf/1712.02452},
    keywords = {Social Networks} 
    }
    


  10. V. Purba, B. B. Johnson, S. Jafarpour, F. Bullo, and S. V. Dhople. Dynamic Aggregation of Grid-tied Three-phase Inverters. IEEE Transactions on Power Systems, 35(2):1520-1530, 2020.
    @Article{ vp-bbj-sj-fb-svd:18h,
    author = {V. Purba and B. B. Johnson and S. Jafarpour and F. Bullo and S. V. Dhople},
    title = {Dynamic Aggregation of Grid-tied Three-phase Inverters},
    year = 2020,
    journal = tps,
    pages = {1520-1530},
    volume = 35,
    number = 2,
    pdf = {http://motion.me.ucsb.edu/pdf/2018h-pjjbd.pdf},
    doi = {10.1109/TPWRS.2019.2942292} 
    }
    


Conference articles
  1. W. Mei, F. Bullo, G. Chen, J. M. Hendrickx, and F. Dorfler. Rethinking the Micro-Foundation of Opinion Dynamics: Rich Consequences of an Inconspicuous Change. In 3rd IFAC Conference on Cyber-Physical & Human-Systems, Shanghai, China, December 2020.
    @InProceedings{ wm-etal:missing,
    author = {W. Mei and F. Bullo and G. Chen and J. M. Hendrickx and F. Dorfler},
    title = {Rethinking the Micro-Foundation of Opinion Dynamics: Rich Consequences of an Inconspicuous Change},
    year = 2020,
    month = dec,
    booktitle = {3rd IFAC Conference on Cyber-Physical & Human-Systems},
    address = {Shanghai, China} 
    }
    


Miscellaneous
  1. O. Askarisichani, E. Y. Huang, N. E. Friedkin, F. Bullo, and A. K. Singh. Expertise and confidence explain how social influence evolves along intellective tasks, 2020. Keyword(s): Social Networks.
    @Misc{ oa-eyh-nef-fb-aks:20l,
    author = {O. Askarisichani and E. Y. Huang and N. E. Friedkin and F. Bullo and A. K. Singh},
    title = {Expertise and confidence explain how social influence evolves along intellective tasks},
    year = 2020,
    newpdf = {http://motion.me.ucsb.edu/pdf/2020l-ahsfbs.pdf},
    arxivurl = {http://arxiv.org/pdf/2011.07168},
    doi = {10.48550/arXiv.2011.07168},
    keywords = {Social Networks},
    sigstat = {How do individuals become influential within a team and to what extent is influence affected by cognitive biases and heuristics? Predicting social influence has important applications in finance, politics, and any task-oriented teams. We propose machine learning models to predict interpersonal influence in teams using message content, communication times, and individual task performance. We also propose an intuitive cognitive model that tests and validates the hypotheses that expertise, confidence, and psychological cognitive biases drive the formation of social influence. Our findings on groups of human subjects show the proposed models significantly improve the prediction of influence networks compared to baseline algorithms.} 
    }
    


  2. S. Jafarpour, P. Cisneros-Velarde, and F. Bullo. Weak and Semi-Contraction Theory with Application to Network Systems, 2020. Note: ArXiv e-print. Keyword(s): Contraction Theory.
    @Misc{ sj-pcv-fb:19q-arxiv,
    author = {S. Jafarpour and P. Cisneros-Velarde and F. Bullo},
    title = {Weak and Semi-Contraction Theory with Application to Network Systems},
    pdf = {http://arxiv.org/pdf/2005.09774.pdf},
    note = {ArXiv e-print},
    year = 2020,
    keywords = {Contraction Theory} 
    }
    


  3. K. D. Smith. A Tutorial on Multivariate $k$-Statistics and their Computation, 2020.
    @Misc{ kds:2020b,
    author = {K. D. Smith},
    title = {A Tutorial on Multivariate $k$-Statistics and their Computation},
    pdf = {http://arxiv.org/pdf/2005.08373},
    year = 2020 
    }
    


  4. K. D. Smith. PyMoments: A Python toolkit for unbiased estimation of multivariate statistical moments, 2020.
    @Misc{ kds:20,
    author = {K. D. Smith},
    title = {{PyMoments}: {A} {Python} toolkit for unbiased estimation of multivariate statistical moments},
    year = 2020 
    }
    



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