Since the 1980s, the rapid development of computer and information engineering technology represented by the Internet makes the human society stride into the "network era." From the Internet to the World Wide Web, from the power grid to the transportation network, from the organism's Brain Neural Networks to the metabolic network, from research cooperation network to a variety of political, economic, and social networks, people have actually lived in a world filled with a wide variety of complex networks. Hence, in recent years, complex networks have become the research focus in different disciplines including mechanical, physics, biology, system control, communication technology, social, economic, and military. Previous studies have mainly focused on the following: (1) static statistical analysis of complex network topology, such as the matching pattern based on a given degree distribution, a variety of correlation, and the description of weighted networks; (2) the evolution and mechanisms model of complex networks, such as network evolution statistical regularity and geometric properties of network; (3) kinetics of complex networks, including network fault tolerance and attack robustness, and the dynamic processes of spread, synchronization, and resonance on the network.

The overall aim of this special issue is to bring together the latest/innovative knowledge and advances in theoretical and technological developments and their applications to complex networks, which may depend largely on methods from artificial intelligence, statistics, operational research, management science, and engineering. Potential topics include, but are not limited to:

• Modeling and characterization of complex networks
• The dynamic evolution pattern formation and data retrieval of complex networks
• Multiagent system and stability analysis
• Complex network analysis, synchronization, and control
• Swarming phenomenon and consistency
• Traffic, routing, and epidemic spread of complex network
• Wireless communication and sensor networks
• Information and communication process of complex networks
• Biological networks and systems biology
• Statistical physics methods of complex networks
• Economic, financial, and social networks
• Information and knowledge networks
• Next Generation Internet and World Wide Web

Before submission authors should carefully read over the journal’s Authors Guidelines, which are located at http://www.hindawi.com/journals/tswj/guidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/tswj/communications/nett/ according to the following timetable: