Publications¶
References to peer-reviewed publications, theses and reports describing in
detail and applying the methods implemented in the pyunicorn package.
General complex networks¶
Review papers¶
[Newman2003], [Boccaletti2006], [Costa2007].
- 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
Further network papers¶
[Watts1998], [Newman2001], [Newman2002], [Arenas2003], [Newman2005], [Soffer2005], [Holme2007], [Tsonis2008a], [Ueoka2008].
- 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(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
Node-weighted network measures / node-splitting invariance¶
Introduction¶
- 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
Random graph models and network surrogates for interacting networks¶
Analysis of node-weighted interacting networks¶
[Wiedermann2011], [Wiedermann2013].
- 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
Climate networks / Coupled climate networks¶
Comparing linear and nonlinear construction of 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
Studying the dynamical structure of the surface air temperature field¶
[Donges2009b], [Radebach2010].
- 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)
Introduction to coupled climate networks and applications¶
Review of climate network analysis (in Chinese!)¶
- 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)
Visualization of climate networks¶
- 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
Evolving climate networks¶
- 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
General¶
[Tsonis2004], [Tsonis2006], [Gozolchiani2008], [Tsonis2008b], [Tsonis2008c], [Yamasaki2008], [Donges2009c], [Yamasaki2009].
- 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¶
Resistance based networks¶
[Schultz2014], [Schultz2014a].
- 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 and synchronization¶
General¶
[Pecora1998], [Schreiber2000], [Kraskov2004], [Kantz2006], [Thiel2006], [Bergner2008], [Pompe2011], [Runge2012b].
- 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
- 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
- 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
Event synchronization¶
- 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
Recurrence networks / quantification analysis / plots¶
Review of recurrence plots and RQA¶
- 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
Introduction and application of recurrence networks in the context of RQA¶
- 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
A thorough introduction to recurrence network analysis¶
- 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
Discussion of choosing an appropriate recurrence threshold¶
- 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
Review of various methods for network-based time series analysis¶
- 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
Introduction to measures of (fractal) transitivity dimensions¶
- 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
Applications of recurrence network analysis to paleoclimate data¶
[Donges2011b], [Donges2011c], [Feldhoff2012].
- 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
Theory of recurrence networks¶
- 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
Multivariate extensions of recurrence network analysis¶
[Feldhoff2012], [Feldhoff2013].
- 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
General¶
[Ngamga2007], [Xu2008], [Schinkel2009].
- 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¶
Introduction¶
- 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
Application to geophysical time series¶
- 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
Tests for time series irreversibility¶
- 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
