The spatial interaction network is the space-embedded directed network with flows of people, goods or information among places. Examples of spatial interaction networks include the international trade network, the migration network, the transportation network and the inter-city telecommunication network. Understanding and predicting spatial interaction patterns of these networks are of importance in various disciplines, including the regional science, the transportation science and the economic geography, with many practical applications in the urban or transportation system planning, the epidemiology of infectious diseases, and the location-based services. This paper first introduces briefly two classic spatial interaction models:the gravity model and the intervening opportunity model, and then reviews some recent advances in data-driven spatial interaction models, including the radiation model, the population-weighted opportunity model and the random walk models on spatial interaction networks. This paper also discusses some challenging problems in modeling the spatial interaction networks, such as the individual mobility behavior diversity, the group choice decision behavior experiment and the datadriven modeling approach for the human activity-travel behavior.

The traffic network and the communication network play a more and more important role in modern life. Almost all people use these two networks everyday. Thus the governments around the world increase the investment in their infrastructure. However, increasing the infrastructure alone, such as broadening the road and the bandwidth, can not meet the growing demand. More importantly, we must focus on optimizing management and making the best use of existing infrastructure in order to improve the performance of these two networks. The key to improving the efficiency is to design effective path strategies. In this paper, we first give a brief introduction of the similarities and the differences between the traffic network and the communication network. Then we review the route choice strategies used to guide the vehicle and path strategies used to guide the pedestrian in the transportation network, and the routing strategies in the communication network. By comparison, we find that the strategies based on the global information are better than those based on the local information. However, due to the factor of the network size, the strategies based on the local information are more suitable for the communication network, and the strategies based on the global information are more suitable for the transportation network.

In view of the increasingly serious urban traffic problems, it is of great significance analyzing and studying the characteristics of the complex urban transportation network to solve urban traffic problems and rationally plan the city layout. This paper firstly introduces the relevant theories of complex systems, including several statistical properties commonly used in the study of complex systems and the development of complex network based on different topologies. Then, the applications of complex network in the urban transportation system are elaborated by analyzing the traffic flow, the influence of different topologies on the transportation network, the network center node, the cascade failure phenomenon and the network stability, respectively. Finally, the future research direction and the development trend of the complex systems in the urban transportation network are pointed out.

The network science has entered the new stage-the super network science. The exploration of the supernetwork becomes one of the frontier issues both at home and abroad in recent years. This paper briefly discusses the characteristics of the supernetwork, with 2 typical examples, focusing on the importance of the theoretical model. The difficulty of nonlinear hyper-network mathematical problems is highlighted. The research route and the progress of multi-level hyper networks are reviewed. At the end of the paper, we put forward some questions, as the food for thought.

With the progress of the complex network research, it is found that the single network can not fully reflect the complexity and the diversity of the real network, and can not be used to depict and reveal the whole picture and the inherent law of the actual complex network. In the real world, there exist "networks of networks" or "supernetworks", with multi-levels and multi-dimensions, multi-attributes, multi-objects, interdependence, correlation and coupling characteristics, which become one of the most challenging frontier topics in the network science. This paper briefly reviews some research progresses of the supernetwork in recent years, with some results made by the network science group of China Institute of Atomic Energy in the research of multilayer supernetwork models and the top 500 enterprise High-Tech supernetwork. At present, the supernetwork research is just in its start step, and there are many unknown areas for us to explore.

The percolation model describes the emergence of a giant component in a system, of which the sites are connected randomly with some mechanisms. Although the rule is very simple, the percolation model involves many concepts of statistical physics and nonlinear physics, and has also been applied to a large variety of natural, technological and social systems, most of which can be viewed as networks. In recent years, a new kind of networks, the multilayer networks, have been proposed to study the complex and interacting systems. Based on the percolation in these networks, a number of natural, technological and social problems have been solved. At the same time, the percolation transition itself also has some new properties, such as the discontinuous transition. This paper analyzes the mechanism of the percolation on multilayer networks first, and then briefly discusses the discontinuous transition in this model. Furthermore, the theoretical methods are also be reviewed.

Four hybrid ratios are introduced into the unified hybrid network model. They are more in line with the randomness, the uncertainty and the variable growing in the real world network. This paper discusses three types of entropy of complex networks:the Boltzmann-Gibbs entropy (BGS), the extensive entropy Sq, and the open network entropy, as well as the relationship between the entropy and the hybrid ratios. From the essence of entropy, the function expression between the changing entropy of the network and the power-law of the scale-free network is revealed. Also the characteristics of the evolution mechanism and the complexity of the network are expounded.

Recently the framework of multi-layer networks was proposed as a new model of complex networks, and was used in widespread applications in many fields, such as the cascading failure, the information spreading, the link prediction and the network synchronization. In multi-layer networks, the correlation and the coupling between two layers of network structures might exist, so it is a very significant issue how to detect the structural correlation and quantify the correlation between the two layers. In this study we summarize and propose methods to measure the structural correlation of double-layer networks in three levels. The first level is to detect the overall connection relationship of the whole double-layer network. The second level is to test the degree correlation characteristics between all nodes at different layers. At last, the third level is to look for the connection relationship between the rich nodes at different layers. Although the three kinds of correlations are all dependent on the network statistics, these statistics are all without units. Furthermore, the sizes and the structures of different networks see a great difference. Therefore, absolute numerical values of some statistics often are not important and we put forward a variety of null models for double-layer networks as a reference. Through the hypothesis testing methods, we can quantify the structure correlation in double-layer networks, and try to analyze the intrinsic mechanism of inducing this kind of structure correlation. Finally, we use an empirical double-layer network(the global language multi-layer network)to verify the effectiveness of our methodology. This methodology can be used to detect the complex coupling between the layers in an empirical double-layer network, and for the better understanding of multi-layer networks and for new applications based on the structure complexity of multi-layer networks.

In recent years, with the situation of air pollution in the eastern part of China becoming a more and more serious concern, the development and the utilization of geothermal resources in this area has been put on the agenda. It is recognized that the wellhead temperatures and the water productions of geothermal wells in different areas are different, and some geothermal wells are characterized by a low temperature or water production, which seriously affects the development of geothermal industry. In order to find out the output characteristics of sedimentary geothermal reservoirs in the eastern part of China, the main sedimentary geothermal reservoirs in this area are initially investigated based on the analysis of the wellhead temperature and the single-well yields of 188 wells, which have been and are being exploited in this area. The results show that the sedimentary geothermal reservoirs in the eastern part of China are characterized by the warm-hot water and the hot water, and dominated by the mediate and high yields, with the Jixian system Wumishan formation and the Cambrian-Ordovician system Karstic and fractured reservoirs having the highest yields, and Neogene system Guantao and Minghuazhen formation sandstone reservoirs having lower yields. Among the reservoirs, the Karstic and fractured reservoirs see a wider variation in yields, suggesting a more heterogeneity. According to the results, several suggestions are made as follows:(1) diversified and stepwise utilization should be actively considered, to make a full use of the efficiency of the geothermal resources; (2) Jixian system Wumishan formation and Cambrian-Ordovician system Karstic fractured reservoirs should be preferentially considered in the geothermal exploitation and utilization, especially in the areas where the basement rocks are shallowly buried; (3) heterogeneity of the Karstic and fractured reservoirs and its relationship with the yields should be studied, in order to find reservoirs with high water production.

Bamboo standards play a vital role in the development and the safety of bamboo products. This paper reviews the bamboo standard development in China and other countries, focusing on the advantages of the international standardization with respect to the national top level design, the resources, the industrialization, the trade, the scientific research and the international organizations. Priorities of the bamboo international standards and the related measures are discussed. It is shown that the Chinese government has paid a high attention to the standards internationalization. China is the top country in the world in the bamboo biodiversity, the total area, the production, the processing and the international trade. In addition, the secretariats of International Network for Bamboo and Rattan and the Bamboo and Rattan Technical Committee of International Organization for Standardization are located in China. Based on China's standards, the priority is to develop 5 major international standards, including the terminology of bamboo products. It is necessary to speed up the development of the international standardization strategy for bamboo and the basic research and experiment in the field of bamboo; to establish long term mechanism for the education of bamboo standardization talents; to attract more attentions from enterprises; to focus on an extensive cooperation with other countries.

Intelligent electric vehicles have attracted a great attention in the international community. This paper reviews its trends and existing problems, focusing on the perception, the decision-making and the control. Feasible researches best suited for our country are pinpointed, together with the expected economic and social benefits.

Fractured-vuggy carbonate reservoirs have various types of units, and it is important making a full use of the well test data for revealing the reservoir characteristics and enhancing the oil production. In the conventional analytical well test model, the positional relationship of the well and the fractured-vuggy units can not be properly considered. According to the distribution of the well and the fractured-vuggy units, two kinds of discrete numerical models are proposed, and solved by the finite element method. The influence of the cave volume and the distance between the cave center and the well is analyzed. The measured data of 14 wells in Hala Hatang Oilfield are classified and summarized, and the classification of the reservoir units and the identification methods are analyzed. The well test double logarithmic curves are divided into five types corresponding to different reservoir characteristics:the cave development, no drilling cave, the well near the cave; the cave development, the drilling cave; a number of connected caves of the reservoir; matrix dominant, fracture is not developed; caves are not developed, drilling individual caves.