Recent advances on failure and recovery in networks of networks

Abstract Until recently, network science has focused on the properties of single isolated networks that do not interact or depend on other networks. However it has now been recognized that many real-networks, such as power grids, transportation systems, and communication infrastructures interact and depend on other networks. Here, we will present a review of the framework developed in recent years for studying the vulnerability and recovery of networks composed of interdependent networks. In interdependent networks, when nodes in one network fail, they cause dependent nodes in other networks to also fail. This is also the case when some nodes, like for example certain people, play a role in two networks, i.e. in a multiplex. Dependency relations may act recursively and can lead to cascades of failures concluding in sudden fragmentation of the system. We review the analytical solutions for the critical threshold and the giant component of a network of n interdependent networks. The general theory and behavior of interdependent networks has many novel features that are not present in classical network theory. Interdependent networks embedded in space are significantly more vulnerable compared to non-embedded networks. In particular, small localized attacks may lead to cascading failures and catastrophic consequences. Finally, when recovery of components is possible, global spontaneous recovery of the networks and hysteresis phenomena occur. The theory developed for this process points to an optimal repairing strategy for a network of networks. Understanding realistic effects present in networks of networks is required in order to move towards determining system vulnerability.

[1]  Cohen,et al.  Resilience of the internet to random breakdowns , 2000, Physical review letters.

[2]  Jukka-Pekka Onnela,et al.  Community Structure in Time-Dependent, Multiscale, and Multiplex Networks , 2009, Science.

[3]  Ruyin Chen,et al.  Effect of external periodic regulations on Brownian motor , 2015 .

[4]  Amir Bashan,et al.  Percolation in networks composed of connectivity and dependency links , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  Reuven Cohen,et al.  Efficient immunization strategies for computer networks and populations. , 2002, Physical review letters.

[6]  D S Callaway,et al.  Network robustness and fragility: percolation on random graphs. , 2000, Physical review letters.

[7]  K-I Goh,et al.  Network robustness of multiplex networks with interlayer degree correlations. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  G. Caldarelli,et al.  Networks of equities in financial markets , 2004 .

[9]  Wei Li,et al.  Cascading Failures in Interdependent Lattice Networks: The Critical Role of the Length of Dependency Links , 2012, Physical review letters.

[10]  M. Newman,et al.  Percolation and epidemics in a two-dimensional small world. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[11]  M E J Newman Assortative mixing in networks. , 2002, Physical review letters.

[12]  Dong Zhou,et al.  Percolation of interdependent networks with intersimilarity. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  A. Arenas,et al.  Mathematical Formulation of Multilayer Networks , 2013, 1307.4977.

[14]  Amir Bashan,et al.  Network physiology reveals relations between network topology and physiological function , 2012, Nature Communications.

[15]  H. Stanley,et al.  Robustness of network of networks under targeted attack. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  Béla Bollobás,et al.  Modern Graph Theory , 2002, Graduate Texts in Mathematics.

[17]  Reuven Cohen,et al.  Complex Networks: Structure, Robustness and Function , 2010 .

[18]  Hans J. Herrmann,et al.  Towards designing robust coupled networks , 2011, Scientific Reports.

[19]  Mariano Sigman,et al.  A small world of weak ties provides optimal global integration of self-similar modules in functional brain networks , 2011, Proceedings of the National Academy of Sciences.

[20]  Shlomo Havlin,et al.  Dynamic motifs in socio-economic networks , 2014 .

[21]  D. Helbing,et al.  The Hidden Geometry of Complex, Network-Driven Contagion Phenomena , 2013, Science.

[22]  R Pastor-Satorras,et al.  Dynamical and correlation properties of the internet. , 2001, Physical review letters.

[23]  Guido Caldarelli,et al.  Scale-Free Networks , 2007 .

[24]  Sergey V. Buldyrev,et al.  Cascading Failures in Networks with Proximate Dependent Nodes , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[25]  Yuichi Amitani,et al.  The natural frequency hypothesis and evolutionary arguments , 2015 .

[26]  Amir Bashan,et al.  Interdependent resistor networks with process-based dependency , 2015 .

[27]  Shlomo Havlin,et al.  Resilience of networks formed of interdependent modular networks , 2015, ArXiv.

[28]  Yoshiyuki Kabashima,et al.  Cavity-based robustness analysis of interdependent networks: influences of intranetwork and internetwork degree-degree correlations. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  S. Buldyrev,et al.  Interdependent networks with identical degrees of mutually dependent nodes. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[30]  H. Stanley,et al.  Robustness of a partially interdependent network formed of clustered networks. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[31]  Albert-László Barabási,et al.  Scale-Free Networks: A Decade and Beyond , 2009, Science.

[32]  Ginestra Bianconi,et al.  Mutually connected component of networks of networks with replica nodes. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  Shlomo Havlin,et al.  Percolation transition in a two-dimensional system of Ni granular ferromagnets. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[34]  Jung Yeol Kim,et al.  Coevolution and correlated multiplexity in multiplex networks , 2013, Physical review letters.

[35]  Benjamin A Carreras,et al.  Complex systems analysis of series of blackouts: cascading failure, critical points, and self-organization. , 2007, Chaos.

[36]  Shlomo Havlin,et al.  Two distinct transitions in spatially embedded multiplex networks , 2015 .

[37]  Juan Carlos González-Avella,et al.  Fast Fragmentation of Networks Using Module-Based Attacks , 2015, PloS one.

[38]  H. Stanley,et al.  Spontaneous recovery in dynamical networks , 2013, Nature Physics.

[39]  H. Stanley,et al.  Percolation of partially interdependent scale-free networks. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[40]  Peter Grassberger,et al.  Percolation theory on interdependent networks based on epidemic spreading , 2011, 1109.4447.

[41]  Norbert Marwan,et al.  The backbone of the climate network , 2009, 1002.2100.

[42]  Bing-Hong Wang,et al.  Critical effects of overlapping of connectivity and dependence links on percolation of networks , 2013 .

[43]  H. Stanley,et al.  Networks formed from interdependent networks , 2011, Nature Physics.

[44]  Adilson E Motter,et al.  Cascade-based attacks on complex networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[45]  Z. Wang,et al.  The structure and dynamics of multilayer networks , 2014, Physics Reports.

[46]  Sergey V. Buldyrev,et al.  Critical effect of dependency groups on the function of networks , 2010, Proceedings of the National Academy of Sciences.

[47]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[48]  Shlomo Havlin,et al.  How breadth of degree distribution influences network robustness: comparing localized and random attacks. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

[49]  Harry Eugene Stanley,et al.  Catastrophic cascade of failures in interdependent networks , 2009, Nature.

[50]  Gueorgi Kossinets,et al.  Empirical Analysis of an Evolving Social Network , 2006, Science.

[51]  Conrado J. Pérez Vicente,et al.  Diffusion dynamics on multiplex networks , 2012, Physical review letters.

[52]  Amir Bashan,et al.  Percolation and cascade dynamics of spatial networks with partial dependency , 2014, J. Complex Networks.

[53]  Sangchul Lee,et al.  Link overlap, viability, and mutual percolation in multiplex networks , 2014, ArXiv.

[54]  S. N. Dorogovtsev,et al.  Avalanche collapse of interdependent networks. , 2012, Physical review letters.

[55]  P. ERDbS ON THE STRENGTH OF CONNECTEDNESS OF A RANDOM GRAPH , 2001 .

[56]  L. D. Valdez,et al.  Triple point in correlated interdependent networks. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[57]  Cesar Ducruet,et al.  Inter-similarity between coupled networks , 2010, ArXiv.

[58]  L. D. Valdez,et al.  A triple point induced by targeted autonomization on interdependent scale-free networks , 2013, 1310.6345.

[59]  János Kertész,et al.  Enhancing resilience of interdependent networks by healing , 2013, ArXiv.

[60]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[61]  Yunpeng Wang,et al.  Percolation transition in dynamical traffic network with evolving critical bottlenecks , 2014, Proceedings of the National Academy of Sciences.

[62]  Yoed N. Kenett,et al.  Critical tipping point distinguishing two types of transitions in modular network structures. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

[63]  Fabrizio Lillo,et al.  The multiplex structure of interbank networks , 2013, 1311.4798.

[64]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[65]  S. Havlin,et al.  Interdependent networks: reducing the coupling strength leads to a change from a first to second order percolation transition. , 2010, Physical review letters.

[66]  Robert J Hermann,et al.  Report of the Commission to Assess the Threat to the United States from Electromagnetic Pulse (EMP) Attack: Critical National Infrastructures , 2008 .

[67]  S. Redner,et al.  Introduction To Percolation Theory , 2018 .

[68]  James P. Peerenboom,et al.  Identifying, understanding, and analyzing critical infrastructure interdependencies , 2001 .

[69]  Alan M. Frieze,et al.  Random graphs , 2006, SODA '06.

[70]  Shlomo Havlin,et al.  Conditions for viral influence spreading through multiplex correlated social networks , 2014, 1404.3114.

[71]  Harry Eugene Stanley,et al.  The robustness of interdependent clustered networks , 2012, ArXiv.

[72]  S. Havlin,et al.  Climate networks around the globe are significantly affected by El Niño. , 2008, Physical review letters.

[73]  Shlomo Havlin,et al.  Network science: a useful tool in economics and finance , 2015, Mind & Society.

[74]  Jürgen Kurths,et al.  Investigating the topology of interacting networks , 2011, 1102.3067.

[75]  Harry Eugene Stanley,et al.  Robustness of a Network of Networks , 2010, Physical review letters.

[76]  Duncan J Watts,et al.  A simple model of global cascades on random networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[77]  Harry Eugene Stanley,et al.  Percolation of localized attack on complex networks , 2014, ArXiv.

[78]  Alessandro Vespignani,et al.  Epidemic spreading in scale-free networks. , 2000, Physical review letters.

[79]  S. Havlin,et al.  Dimension of spatially embedded networks , 2011 .

[80]  P. Erdos,et al.  On the strength of connectedness of a random graph , 1964 .

[81]  Harry Eugene Stanley,et al.  Cascade of failures in coupled network systems with multiple support-dependent relations , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[82]  Sergey N. Dorogovtsev,et al.  Avalanches in Multiplex and Interdependent Networks , 2014 .

[83]  S. Havlin,et al.  The extreme vulnerability of interdependent spatially embedded networks , 2012, Nature Physics.

[84]  S. N. Dorogovtsev,et al.  Multiple percolation transitions in a configuration model of a network of networks. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[85]  Lidia A. Braunstein,et al.  Multiple tipping points and optimal repairing in interacting networks , 2015, Nature Communications.

[86]  S. Havlin,et al.  Simultaneous first- and second-order percolation transitions in interdependent networks. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[87]  H. Stanley,et al.  Introduction to Phase Transitions and Critical Phenomena , 1972 .

[88]  Reuven Cohen,et al.  Spatio-temporal propagation of cascading overload failures , 2015, 1509.04557.

[89]  Amir Bashan,et al.  An Introduction to Interdependent Networks , 2014 .

[90]  Ginestra Bianconi,et al.  Percolation in multiplex networks with overlap. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[91]  Xiaoming Xu,et al.  Percolation of a general network of networks. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[92]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[93]  H E Stanley,et al.  Recovery of Interdependent Networks , 2015, Scientific Reports.

[94]  M. Carlucci,et al.  Intraoperative Cardiac Arrest and Mortality in Trauma Patients. A 14-Yr Survey from a Brazilian Tertiary Teaching Hospital , 2014, PloS one.

[95]  S. Havlin,et al.  Fractals and Disordered Systems , 1991 .

[96]  Amir Bashan,et al.  Localized attacks on spatially embedded networks with dependencies , 2015, Scientific Reports.

[97]  S. Kirkpatrick Percolation and Conduction , 1973 .

[98]  Alessandro Vespignani,et al.  Complex networks: The fragility of interdependency , 2010, Nature.

[99]  C. Buono,et al.  Epidemics in Partially Overlapped Multiplex Networks , 2013, PloS one.

[100]  M. Newman Spread of epidemic disease on networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[101]  Harry Eugene Stanley,et al.  Assortativity Decreases the Robustness of Interdependent Networks , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[102]  Danielle Smith Bassett,et al.  Small-World Brain Networks , 2006, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[103]  Kwang-Il Goh,et al.  Towards real-world complexity: an introduction to multiplex networks , 2015, ArXiv.

[104]  Amir Bashan,et al.  Interdependent Spatially Embedded Networks: Dynamics at Percolation Threshold , 2013, 2013 International Conference on Signal-Image Technology & Internet-Based Systems.

[105]  Seth Blumsack,et al.  The Topological and Electrical Structure of Power Grids , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[106]  Reuven Cohen,et al.  Spatio-temporal propagation of cascading overload failures in spatially embedded networks , 2016, Nature Communications.

[107]  Filippo Radicchi,et al.  Percolation in real interdependent networks , 2015, Nature Physics.

[108]  Mason A. Porter,et al.  Multilayer networks , 2013, J. Complex Networks.

[109]  G. Bianconi Statistical mechanics of multiplex networks: entropy and overlap. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[110]  Redner,et al.  Anomalous voltage distribution of random resistor networks and a new model for the backbone at the percolation threshold. , 1985, Physical review. B, Condensed matter.

[111]  Marc Barthelemy,et al.  Spatial Networks , 2010, Encyclopedia of Social Network Analysis and Mining.

[112]  Harry Eugene Stanley,et al.  Robustness of interdependent networks under targeted attack , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[113]  S. Havlin,et al.  Robustness of a network formed by n interdependent networks with a one-to-one correspondence of dependent nodes. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[114]  T. Geisel,et al.  Forecast and control of epidemics in a globalized world. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[115]  Shlomo Havlin,et al.  Robustness of a network formed of spatially embedded networks. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.