Publications

References to peer-reviewed publications, theses and reports describing in detail and applying the methods implemented in the pyunicorn package.

General complex networks


[Newman2003]

M.E.J. Newman. “The structure and function of complex networks”. In SIAM Review, vol. 45 (no. 2), p167-256 (2003) doi:10.1137/S003614450342480

[Boccaletti2006]

S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, D.U. Hwang. “Complex networks: structure and dynamics”. In Physics Reports, vol. 424 (no. 4-5), p175-308 (2006) doi:10.1016/j.physrep.2005.10.009

[Costa2007]

L.D.F. Costa, F.A. Rodrigues, G. Travieso, P.R. Villas Boas. “Characterization of complex networks: A survey of measurements”. In Advances in Physics, vol. 56(1), 167-242 (2007) doi:10.1080/00018730601170527

[Watts1998]

D.J. Watts and S.H. Strogatz. “Collective dynamics of small-world networks”. In Nature vol. 393, 440–442 (1998) doi:10.1038/30918

[Newman2001]

M.E.J. Newman. “Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality”. In Physical Review E vol. 64.1, 016132 (2001) doi:10.1103/PhysRevE.64.016132

[Newman2002]

M.E.J. Newman. “Assortative mixing in networks”. In Physical Review Letters, vol. 89.20, 208701 (2002) doi:10.1103/PhysRevLett.112.068103

[Arenas2003]

A. Arenas, A. Cabrales, A. Díaz-Guilera, R. Guimerà, F. Vega-Redondo. “Search and Congestion in Complex Networks”. In “Statistical Mechanics of Complex Networks”, In Lecture Notes in Physics, vol. 625, p175-194 (2003) doi:10.1007/978-3-540-44943-0_11

[Newman2005]

M.E.J. Newman. “A measure of betweenness centrality based on random walks”. In Social Networks, vol 27 (no. 1), p39–54 (2005) doi:10.1016/j.socnet.2004.11.009

[Soffer2005]

S.N. Soffer and A. Vázquez “Network clustering coefficient without degree-correlation biases”. In Physical Review E, vol. 71, 057101 (2005) doi:10.1103/PhysRevE.71.057101

[Holme2007]

P. Holme, S.M. Park, B.J. Kim, C.R. Edling. “Korean university life in a network perspective: Dynamics of a large affiliation network”. In Physica A: Statistical Mechanics and its Applications, vol. 373, p821-830 (2007) doi:10.1016/j.physa.2006.04.066

[Tsonis2008a]

A.A. Tsonis, K.L. Swanson, G. Wang. “Estimating the clustering coefficient in scale-free networks on lattices with local spatial correlation structure”. In Physica A: Statistical Mechanics and its Applications, vol. 387 (no. 21) p5287-5294 (2008) doi:10.1016/j.physa.2008.05.048

[Ueoka2008]

Y. Ueoka, T. Suzuki, T. Ikeguchi, Y. Horio. “Efficiency of Statistical Measures to Estimate Network Structure of Chaos Coupled Systems”. Proceedings of NOLTA (2008) http://tsuzuki.ise.ibaraki.ac.jp/MyPaper/Meeting/08NOLTA.pdf

Spatially embedded networks


[Bartelemy2011]

M. Barthelemy. “Spatial networks”. In Physics Reports, vol. 499 (no. 1-3), p1-101 (2011) doi:10.1016/j.physrep.2010.11.002

Interacting/interdependent networks (networks of networks)

  • Introduction to structural analysis of interacting networks: [Donges2011a].

  • Random graph models & network surrogates for interacting networks: [Schultz2010].


[Donges2011a] (1,2)

J.F. Donges, H.C.H. Schultz, N. Marwan, Y. Zou, J. Kurths. “Investigating the topology of interacting networks - Theory and application to coupled climate subnetworks”. In European Physical Journal B: Condensed Matter and Complex Systems, vol. 84 (no. 4) p635-652 (2011) doi:10.1140/epjb/e2011-10795-8

[Schultz2010] (1,2)

H.C.H. Schultz. “Coupled climate networks: Investigating the terrestrial atmosphere’s dynamical structure”. Diploma thesis, Free University, Berlin (2010)

Node-weighted (node-splitting invariant) network measures


[Heitzig2012]

J. Heitzig, J. F. Donges, Y. Zou, N. Marwan, J. Kurths. “Node-weighted measures for complex networks with spatially embedded, sampled, or differently sized nodes”. In European Physical Journal B: Condensed Matter and Complex Systems, vol. 85 p38 (2012) doi:10.1140/epjb/e2011-20678-7

[Wiedermann2011] (1,2)

M. Wiedermann. “Coupled climate network analysis of multidecadal dynamics in the Arctic”. Bachelor’s thesis, Humboldt University, Berlin (2011)

[Wiedermann2013]

M. Wiedermann, J.F. Donges, J. Heitzig, J. Kurths. “Node-weighted interacting network measures improve the representation of real-world complex systems”. In Europhysics Letters, vol. 102.2, 28007 (2013) doi:10.1209/0295-5075/102/28007

[Zemp2014]

D.C. Zemp, M. Wiedermann, J. Kurths, A. Rammig, J.F. Donges. “Node-weighted measures for complex networks with directed and weighted edges for studying continental moisture recycling”. In Europhysics Letters, vol. 107.5, p58005 (2014) doi:10.1209/0295-5075/107/58005

Climate data analysis (general)


[Bretherton1992]

C.S. Bretherton, C. Smith, J.M. Wallace. “An intercomparison of methods for finding coupled patterns in climate data”. In Journal of Climate, vol. 5, p541-560 (1992) doi:10.1175/1520-0442(1992)005<0541:AIOMFF>2.0.CO;2

(Coupled) Climate networks


[Donges2009a]

J.F. Donges, Y. Zou, N. Marwan, J. Kurths. “Complex networks in climate dynamics”. In European Physical Journal Special Topics, vol. 174 (no. 1), p157-179 (2009) doi:10.1140/epjst/e2009-01098-2

[Donges2009b]

J.F. Donges, Y. Zou, N. Marwan, J. Kurths. “The backbone of the climate network”. In Europhysics Letters, vol. 87 (no. 4), 48007 (2009) doi:10.1209/0295-5075/87/48007

[Radebach2010]

A. Radebach. “Evolving climate networks: Investigating the evolution of correlation structure of the Earth’s climate system”. Diploma thesis, Humboldt University, Berlin (2010)

[Zou2011]

Y. Zou, J.F. Donges, J. Kurths. “Recent advances in complex climate network analysis”. In Complex Systems and Complexity Science, vol. 8 (no. 1), p27-38 (2011)

[Tominski2011]

C. Tominski, J.F. Donges, T. Nocke. “Information Visualization in Climate Research”. In Proceedings of the International Conference on Information Visualisation (IV), London, p298-305 (2011) doi:10.1109/IV.2011.12

[Radebach2013]

A. Radebach, R.V. Donner, J. Runge, J.F. Donges, J. Kurths. “Disentangling different types of El Nino episodes by evolving climate network analysis”. In Physical Review E, vol. 88, 052807 (2013) doi:10.1103/PhysRevE.88.052807

[Tsonis2004]

A.A. Tsonis and P.J. Roebber. “The architecture of the climate network”. In Physica A: Statistical Mechanics and its Applications, vol. 333, p497-504 (2004) doi:10.1016/j.physa.2003.10.045

[Tsonis2006]

A.A. Tsonis, K.L. Swanson, P.J. Roebber. “What do networks have to do with climate?”. In Bull. Amer. Meteor. Soc. vol. 87 p585-595 (2006) doi:10.1175/BAMS-87-5-585

[Gozolchiani2008]

A. Gozolchiani, K. Yamasaki, O. Gazit, S. Havlin. “Pattern of climate network blinking links follows El Niño events”. In Europhysics Letters, vol. 83 (no. 2), 28005 (2008) doi:10.1209/0295-5075/83/28005

[Tsonis2008b]

A. A. Tsonis and K. L. Swanson. “Topology and Predictability of El Niño and La Niña Networks”. In Physical Review Letters vol 100, 228502 (2008) doi:10.1103/PhysRevLett.100.228502

[Tsonis2008c]

A. A. Tsonis, K. L. Swanson, G. Wang. “On the role of atmospheric teleconnections in climate”. In Journal of Climate vol. 21, p2990-3001 (2008) doi:10.1175/2007JCLI1907.1

[Yamasaki2008]

K. Yamasaki, A. Gozolchiani, S. Havlin. “Climate Networks around the Globe are Significantly Affected by El Niño”. In Physical Review Letters, vol. 100, 228501 (2008) doi:10.1103/PhysRevLett.100.228501

[Donges2009c]

J.F. Donges “Complex networks in the climate system”. Diploma thesis, University of Potsdam (2009) Advisor: Prof. Dr. Dr. h.c. Juergen Kurths. URN: urn:nbn:de:kobv:517-opus-49775.

[Yamasaki2009]

K. Yamasaki, A. Gozolchiani, S. Havlin. “Climate Networks Based on Phase Synchronization Analysis Track El-Niño”. In Progress Of Theoretical Physics Supplement, vol. 179, p178-188 (2009) doi:10.1143/PTPS.179.178

Power grids & Power networks


[Schultz2014]

P. Schultz “Stability Analysis of Power Grid Networks”. M.Sc. Thesis, Humboldt-Universität zu Berlin (2014)

[Schultz2014a]

P. Schultz, J. Heitzig, J. Kurths A Random Growth Model for Power Grids and Other Spatially Embedded Infrastructure Networks”. In Eur. Phys. J. Special Topics: Resilient Power Grids and Extreme Events (2014)

Time series analysis & Synchronization


[Pecora1998]

L.M. Pecora and T.L. Carroll. “Master Stability Functions for Synchronized Coupled Systems”. In Physical Review Letters, vol. 80, 2109 (1998) doi:10.1103/PhysRevLett.80.2109

[Schreiber2000]

T. Schreiber and A. Schmitz. “Surrogate time series”. In Physica D vol. 142 (no. 3-4), p346-382 (2000) doi:10.1016/S0167-2789(00)00043-9

[Bandt2002]

C. Bandt, B. Pompe “Permutation Entropy: A Natural Complexity Measure for Time Series”. In Phys. Rev. Lett., vol. 88(17), 174102 (2002) doi:10.1103/PhysRevLett.88.174102

[Kraskov2004]

A. Kraskov, H. Stögbauer, P. Grassberger. “Estimating mutual information”. In Physical Review E, vol. 69(6), 066138 (2004) doi:10.1103/PhysRevE.69.066138

[Kantz2006]

H. Kantz and T. Schreiber. “Nonlinear Time Series Analysis”. Cambridge University Press, Cambridge, 2nd edition (2006)

[Thiel2006]

M. Thiel, M.C. Romano, J. Kurths, M. Rolfs, R. Kliegl. “Twin surrogates to test for complex synchronization”. In Europhysics Letters, vol. 75, p535-541 (2006) doi:10.1209/epl/i2006-10147-0

[Bergner2008]

A. Bergner, R. Meucci, K. Al Naimee, M.C. Romano, M. Thiel, J. Kurths, and F. T. Arecchi. “Continuous wavelet transform in the analysis of burst synchronization in a coupled laser system”. In Physical Review E, vol. 78, 016211 (2008) doi:10.1103/PhysRevE.78.016211

[Pompe2011]

B. Pompe, J. Runge. “Momentary information transfer as a coupling measure of time series”. In Physical Review E vol. 83, 051122 (2011) doi:10.1103/PhysRevE.83.051122

[Ribeiro2011]

H.V. Ribeiro, L. Zunino, R.S. Mendes and E.K. Lenzi “Complexity–entropy causality plane: A useful approach for distinguishing songs”, In Physica A: Statistical Mechanics and its Applications, vol. 391, p2421-2428 (2011) doi:10.1016/j.physa.2011.12.009

[Runge2012b]

J. Runge, J. Heitzig, N. Marwan, J. Kurths. “Quantifying causal coupling strength: A lag-specific measure for multivariate time series related to transfer entropy”. In Physical Review E, vol. 86(6), 1-15 (2012) doi:10.1103/PhysRevE.86.061121

[Quiroga2002]

R.Q. Quiroga, T. Kreuz, P. Grassberger. “Event synchronization: a simple and fast method to measure synchronicity and time delay patterns.” In Physical Review E, vol. 66(4), 041904 (2002) doi:10.1103/PhysRevE.66.041904

[Boers2014]

N. Boers, B. Bookhagen, H.M.J. Barbosa, N. Marwan, J. Kurths. J.A. Marengo. “Prediction of extreme floods in the eastern Central Andes based on a complex networks approach”. In Nature communications, vol. 5, 1–7 (2014) doi:10.1038/ncomms6199

[Odenweller2020]

A. Odenweller, R.V. Donner. “Disentangling synchrony from serial dependency in paired-event time series”. In Pyhsical Review E, vol. 101, 052213 (2020) doi:10.1103/PhysRevE.101.052213

Recurrence quantification/network analysis


[Marwan2007]

N. Marwan, M.C. Romano, M. Thiel, J. Kurths. “Recurrence plots for the analysis of complex systems”. In Physics Reports, vol. 438 (no. 5–6), p237-329 (2007) doi:10.1016/j.physrep.2006.11.001

[Marwan2009]

N. Marwan, J.F. Donges, Y. Zou, R.V. Donner, J. Kurths. “Complex network approach for recurrence analysis of time series”. In Physics Letters A, vol. 373 (no. 46), p4246-4254 (2009) doi:10.1016/j.physleta.2009.09.042

[Donner2010b]

R.V. Donner, Y. Zou, J.F. Donges, N. Marwan, J. Kurths. “Recurrence networks – A novel paradigm for nonlinear time series analysis”. In New Journal of Physics, vol. 12 (no. 3), 033205 (2010) doi:10.1088/1367-2630/12/3/033025

[Donner2010a]

R.V. Donner, Y. Zou, J.F. Donges, N. Marwan, J. Kurths. “Ambiguities in recurrence-based complex network representations of time series”. In Physical Review E, vol. 81 (no. 1), 015101(R) (2010) doi:10.1103/PhysRevE.81.015101

[Zou2010]

Y. Zou, R.V. Donner, J.F. Donges, N. Marwan, J. Kurths. “Identifying complex periodic windows in continuous-time dynamical systems using recurrence-based methods”. In Chaos, vol. 20 (no. 4), 043130 (2010) doi:10.1063/1.3523304

[Donner2011a]

R.V. Donner, M. Small, J.F. Donges, N. Marwan, Y. Zou, R. Xiang, J. Kurths. “Recurrence-based time series analysis by means of complex network methods”. In International Journal of Bifurcation and Chaos, vol. 21 (no. 4), p1019-1046 (2011) doi:10.1142/S0218127411029021

[Donner2011b]

R.V. Donner, J. Heitzig, J.F. Donges, Y. Zou, J. Kurths. “The geometry of chaotic dynamics – A complex network perspective”. In European Physical Journal B: Condensed Matter and Complex Systems, vol. 84 (no. 4), p653-672 (2011) doi:10.1140/epjb/e2011-10899-1

[Donges2011b]

J.F. Donges, R.V. Donner, K. Rehfeld, N. Marwan, M.H. Trauth, J. Kurths. “Identification of dynamical transitions in marine palaeoclimate records by recurrence network analysis”. In Nonlinear Processes in Geophysics, vol. 18 (no. 5), p545-562 (2011) doi:10.5194/npg-18-545-2011

[Donges2011c]

J.F. Donges, R.V. Donner, M.H. Trauth, N. Marwan, H.J. Schellnhuber, J. Kurths. “Nonlinear detection of paleoclimate-variability transitions possibly related to human evolution”. In Proceedings of the National Academy of Sciences of the United States of America, vol. 108 (no. 51), p20422-20427 (2011) doi:10.1073/pnas.1117052108

[Donges2012]

J.F. Donges, J. Heitzig, R.V. Donner, J. Kurths. “Analytical framework for recurrence network analysis of time series”. In Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, vol. 85, 046105 (2012) doi:10.1103/PhysRevE.85.046105

[Zou2012]

Y. Zou, J. Heitzig, R.V. Donner, J.F. Donges, J.D. Farmer, R. Meucci, S. Euzzor, N. Marwan, J. Kurths. “Power-laws in recurrence networks from dynamical systems”. In Europhysics Letters, vol. 98, 48001 (2012) doi:10.1209/0295-5075/98/48001

[Feldhoff2012] (1,2)

J.H. Feldhoff, R.V. Donner, J.F. Donges, N. Marwan, J. Kurths. “Geometric detection of coupling directions by means of inter-system recurrence networks”. In Physics Letters A, vol. 376, 3504-3513 (2012), doi:10.1016/j.physleta.2012.10.008

[Feldhoff2013]

J.H. Feldhoff, R.V. Donner, J.F. Donges, N. Marwan, J. Kurths. “Geometric signature of complex synchronisation scenarios”. In Europhysics Letters vol. 102, 30007 (2013), doi:10.1209/0295-5075/102/30007

[Ngamga2007]

E.J. Ngamga, A. Nandi, R. Ramaswamy, M.C. Romano, M. Thiel, J. Kurths. “Recurrence analysis of strange nonchaotic dynamics”. In Physical Review E, vol. 75, 036222 (2007) doi:10.1103/PhysRevE.75.036222

[Xu2008]

X. Xu, J. Zhang, M. Small. “Superfamily phenomena and motifs of networks induced from time series”. In Proceedings of the National Academy of Sciences of the United States of America, vol. 105 (no. 50) p19601-19605 (2008) doi:10.1073/pnas.0806082105

[Schinkel2009]

S. Schinkel, N. Marwan, O. Dimigen, J. Kurths. “Confidence bounds of recurrence-based complexity measures”. In Physics Letters A, vol. 373 (no. 26) p2245–2250 (2009) doi:10.1016/j.physleta.2009.04.045

Visibility graph analysis


[Lacasa2008]

L. Lacasa, B. Luque, F. Ballesteros, J. Luque, J.C. Nuno. “From time series to complex networks: The visibility graph”. In Proceedings of the National Academy of Sciences of the United States of America, vol. 105 (no. 13), p4972-4975 (2008) doi:10.1073/pnas.0709247105

[Donner2012]

R.V. Donner and J.F. Donges. “Visibility graph analysis of geophysical time series: Potentials and possible pitfalls”. In Acta Geophysica, vol. 60 p589-623 (2012) doi:10.2478/s11600-012-0032-x

[Donges2013]

J.F. Donges, R.V. Donner, J. Kurths. “Testing time series irreversibility using complex network methods”. In Europhysics Letters, vol. 102.1, 10004 (2013) doi:10.1209/0295-5075/102/10004