自1980年代以来,计算机的迅速发展和工程技术为代表的信息网络使人类社会大步走到“网络时代”。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.

这个特殊问题的总体目的是汇集最新/创新的知识和先进的理论和技术发展及其应用复杂网络,可能很大程度上取决于从人工智能方法,统计学、运筹学、管理科学与工程。潜在的主题包括,但不限于:

• 复杂网络的建模和描述
• 动态演化模式形成和复杂网络的数据检索
• 多重代理系统和稳定性分析
• 复杂网络分析、同步和控制
• 群集现象和一致性
• 交通、路由和流行病传播的复杂网络
• 无线通信和传感器网络等
• 信息和通信过程的复杂网络
• 生物网络和系统生物学
• 复杂网络的统计物理方法
• 经济、金融和社会网络
• 信息和知识网络
• 下一代互联网和万维网

之前提交作者应该仔细阅读《华尔街日报》的作者指南,位于//www.newsama.com/journals/tswj/guidelines。未来的作者应该提交一份电子版的完整手稿通过跟踪系统在《华尔街日报》手稿http://mts.hindawi.com/submit/journals/tswj/communications/nett/根据以下时间表: