Wireshark可能是世界上最好的开源网络包分析器，能在多种平台上(比如Windows、Linux和Mac)抓取和分析网络包，在IT业界有着广泛的应用。
《Wireshark网络分析就这么简单》采用诙谐风趣的手法，由浅入深地用Wireshark分析了常见的网络协议，读者在学习Wireshark的同时，也会在不知不觉中理解这些协议。作者还通过身边发生的一些真实案例，分享了Wireshark的实战技巧。
《Wireshark网络分析就这么简单》不务虚，不注水，几乎页页干货，篇篇精华，力求为读者提供最佳阅读体验，使读者在一个轻松愉悦的阅读氛围中，潜移默化地掌握Wireshark的使用技巧和网络知识，为你的工程师生涯加油助力。
无论你是技术支持工程师、系统管理员、现场工程师、公司IT部门的老好人，还是高校网络相关专业的教师，无论你是CCNA、CCNP、CCIE，还是MCSE，《Wireshark网络分析就这么简单》都是迅速了解、掌握Wireshark技巧的绝佳读物。

Review
Lucid and comprehensive, Jackson's book elegantly synthesizes several important strands of network science from sociology, physics, mathematics, computer science, and economics. It will be an immensely useful reference for researchers and students alike.
(Duncan Watts, Columbia University )
Product Description
Networks of relationships help determine the careers that people choose, the jobs they obtain, the products they buy, and how they vote. The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function.
This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business.

From the Internet to networks of friendship, disease transmission, and even terrorism, the concept - and the reality - of networks has come to pervade modern society. But what exactly is a network? What different types of networks are there? Why are they interesting, and what can they tell us? In recent years, scientists from a range of fields - including mathematics, physics, computer science, sociology, and biology - have been pursuing these questions and building a new 'science of networks.' This book brings together, for the first time, a set of seminal articles representing research from across these disciplines. It is an ideal sourcebook for the key research in this fast-growing field. The book is organized into four sections, each preceded by an editors' introduction summarizing its contents and general theme. The first section sets the stage by discussing some of the historical antecedents of contemporary research in the area. From there the book moves to the empirical side of the science of networks before turning to the foundational modeling ideas that have been the focus of much subsequent activity. The book closes by taking the reader to the cutting edge of network science - the relationship between network structure and system dynamics. From network robustness to the spread of disease, this section offers a potpourri of topics on this rapidly expanding frontier of the new science.

Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the Internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others.

《计算机网络（第4版）》全书按照网络协议模型（物理层、数据链路层、介质访问控制子层、网络层、传输层和应用层），自下而上系统地介绍了计算机网络的基本原理，并给出了大量实例。在讲述各网络层的同时，还融合进了近年来迅速发展起来的各种网络技术，如Internet、SONET、A DSL、CDMA、WLAN和蓝牙等。另外，针对当前计算机网络的发展现状以及计算机安全的重要性，本书用了一整章的篇幅对计算机安全进行了深入讨论。

Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field.

《UNIX网络编程》(第1卷)(套接口API第3版)第1版和第2版由已故UNIX网络专家W. Richard Stevens博士独自编写。《UNIX网络编程》(第1卷)(套接口API第3版)是3版，由世界著名网络专家Bill Fenner和Andrew M. Rudoff执笔，根据近几年网络技术的发展，对上一版进行全面修订，增添了IPv6的更新过的信息、SCTP协议和密钥管理套接口的内容，删除了X/Open传输接口的内容。
《UNIX网络编程》(第1卷)(套接口API第3版)内容详尽且具权威性，几乎每章都提供精选的习题，是计算机和网络专业高年级本科生和研究生的首选教材，《UNIX网络编程》(第1卷)(套接口API第3版)也可作为网络研究和开发人员的自学教材和参考书。