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| 1 | From a single network to a network of networks显示文摘Network science has atracted much atention in recent years due to its interdisciplinary applications. We witnessed the revolution of network science in 1998 and 1999 started with small-world and scale-free networks having now thousands of high-proile publications, and it seems that since 2010 studies of‘network of networks'(NON), sometimes called multilayer networks or multiplex, have atracted more and more atention. he analytic framework for NON yields a novel percolation law for n interdependent networks that shows that percolation theory of single networks studied extensively in physics and mathematics in the last 50 years is a speciic limit of the rich and very diferent general case of n coupled networks. Since then, properties and dynamics of interdependent and interconnected networks have been studied extensively, and scientists are inding many interesting results and discovering many surprising phenomena. Because most natural and engineered systems are composed of multiple subsystems and layers of connectivity, it is important to consider these features in order to improve our understanding of such complex systems. Now the study of NON has become one of the important directions in network science.In this paper, we review recent studies on the new emerging area—NON. Due to the fast growth of this ield, there are many deinitions of diferent types of NON, such as interdependent networks,interconnected networks, multilayered networks, multiplex networks and many others. here exist many datasets that can be represented as NON, such as network of diferent transportation networks including light networks, railway networks and road networks, network of ecological networks including species interacting networks and food webs, network of biological networks including gene regulation network,metabolic network and protein–protein interacting network, network of social networks and so on. Among them, many interdependent networks including critical infrastructures are embedded in space, introducing spatial constraints. hus, we also review the progress on study of spatially embedded networks. As a result of spatial constraints, such interdependent networks exhibit extreme vulnerabilities compared with their non-embedded counterparts. Such studies help us to understand, realize and hopefully mitigate the increasing risk in NON. | Jianxi Gao Daqing Li Shlomo Havlin | 2014 | National Science Review2014，1，3： | 15 |
| 2 | Identification of influential spreaders in complex networks显示文摘 | Kitsak Maksim Gallos Lazaros K Havlin Shlomo Liljeros Fredrik Muchnik Lev Stanley H Eugene Makse Hernán A | 2010 | Nature Physics2010，，11： | 2 |
| 3 | Identification of influential spreaders in complex networks显示文摘 | Kitsak Maksim Gallos Lazaros K Havlin Shlomo Liljeros Fredrik Muchnik Lev Stanley H Eugene Makse Hernán A | 2010 | Nature Physics2010，，11： | 2 |
| 4 | Finding a better immunization strategy显示文摘 | CHEN Y PAUL G HAVLIN S | 2008 | Physical Review Letters2008，101，05： | 1 |
| 5 | Finding a better immunization strategy显示文摘 | CHEN Yi-ping PAUL G HAVLIN S | 2008 | Physical Review Letters2008，101，05： | 1 |
| 6 | Scaling behaviour in the growth of companies显示文摘 | Stanley M H R Amaral L A N Buldyrev S V Havlin S Leschhorn H Maass P Salinger M A Stanley H E | 1996 | Nature1996，379，： | 1 |
| 7 | Identif- ying Influential Spreaders in Complex Networks 显示文摘 | Kitsak M Gallos L K Havlin S | 2010 | Na- ture Physics2010，6，11： | 1 |
| 8 | Efficient immunization strategies for computer networks and populations 显示文摘 | COHEN R HAVLIN S BEN D A | 2003 | Physical Review Letters2003，91，24： | 1 |
| 9 | Mosaic organization of DNA nucleotides显示文摘 | PENG C K BULDYREV S V HAVLIN S | 1994 | Phys Rev E1994，49，2： | 1 |
| 10 | Scale-free networks are ultrasmall 显示文摘 | Cohen R Havlin S | 2003 | Phys Rev Lett2003，90，05： | 1 |
| 11 | Structural and dynamical properties of long-range correlated percolation显示文摘 | PRAKASH S HAVLIN S SCHWARTZ M | 1992 | Phys Rev A1992，46，： | 1 |
| 12 | Mosaic organization of DNA nucleotides显示文摘 | Peng CK Buldyrev SV Havlin S | 1994 | Phys Rev E1994，49，2： | 1 |
| 13 | Optimization of Network Robustness to Waves of Targeted and Random Attacks显示文摘 | T Tanizawa G Paul R Cohen S Havlin etc | 2005 | Phys Rev E2005，71，： | 1 |
| 14 | Critical effect of dependency groups on the function of networks显示文摘 | Parshani R Buldyrev S V Havlin S | | 0，，03： | 1 |
| 15 | Spontaneous stratification ingranular mixtures显示文摘 | Makse H A Havlin S King P R | 1997 | Nature1997，386，27： | 1 |
| 16 | Pattern formation in sedimentary rocks:connectivity,permeability,and spatial correlations显示文摘 | MAKSE H A HAVLIN S IVANOY P C | 1996 | Phys A1996，233，： | 1 |
| 17 | Efficient immunization strategies for computer networks and populations显示文摘 | COHEN R HAVLIN S BEN-AVRAHAM D | 2003 | Physical Review Letters2003，91，24： | 1 |
| 18 | Thestructuralroleofweakandstronglinksinafinanci-almarketnetwork显示文摘 | A GARAS P ARGYRAKIS S HAVLIN | 2008 | PhysicsofCondensedMatter2008，63，63： | 1 |
| 19 | The effect of long- term correlations on the return periods of rare events 显示文摘 | Bunde A Eichner J F Havlin S | 2003 | Physica A:Statistical Mechanics and its Applications2003，330，12： | 1 |
| 20 | Efficient immunization strategies for computer networks and populations 显示文摘 | COHEN R HAVLIN S BEN-AVRAHAM D | 2003 | Physical Re- view Letters2003，91，24： | 1 |
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