本书收录了斯科姆斯18篇经典论文，集中反映了作者运用演化博弈论研究社会动态演化过程的开创性贡献。作者通过囚徒困境博弈、多人猎鹿博弈等基准模型，刻画了社会个体间的互动，将文化演化与个人学习的自适应动力学方法应用于社会理论，有助于读者深入理解个体间的互动如何导致了社会的演化，应当受到经济学、政治学、生物学、哲学等领域的学生和专业人士的喜爱。

《社会网络分析：方法与应用》涉及社会网络分析（SNA）在多领域的应用实例和基本方法工具，让社会科学研习者能在阅读本书后立刻开始他们自己的社会网络研究。这本富有创新性的著作摒弃了对数学方法的强调，而是从理念上讨论了社会网络分析方法的精要之处，以及如何将其运用于研究设计、数据收集和分析中。四个章节介绍了社会网络分析方法在政治学、工作与组织、心理与身体健康、犯罪与恐怖主义研究中的应用实例。

社会网分析是对社会关系结构行进量化的技术性较强的学科、视角或范式。近30年来，社会网分析在整体网模型方面取得了重大突破。那么，整体网分析还存在哪些方法论及理论上的不足？整体网数据如何收集、分析和整理？整体网有哪些指标可以测量？其局限性何在？如何应用UCINET软件分析网络数据？这些内容是进行整体网研究的方法基础，但不是方法论基础或哲学基础。本书对这些问题进行了深入探讨，并详细介绍了UCINET的应用。

社会网络分析在社会和行为科学巾应用甚广，如经济学、市场营销以及工业工程。社会网络的视角主要关注于社会实体之间的关系。具体的例子有团队成员之间的交流，公司间的经济事务，以及国家间的贸易或条约。标准社会和行为研究主要关心社会单元的属性，而将焦点放在对关系的研究上，是对标准社会和行为研究的一种重要补充。 《社会网络分析--方法与应用》(作者斯坦利·沃瑟曼、凯瑟琳·福斯特)综述并讨论了分析社会网络的方法，通过打量例子，重点关注这些方法的具体应用。本书主要分为六个部分。第一部分的章节从社会网络的视角进行概述，描述了不同类型的社会网络数据。第二部分讨论了社会网络的形式表示，包括符号、图论以及矩阵操作。第三部分涵盖了社会网络的结构和位置的性质，包括中心性、声望、优势、结构平衡、可聚类性、凝聚子群以及从属网络。第四部分考查了社会网络关于角色和地位的方法，包括对结构等价、块模型以及关系代数的讨论。第五部分探讨了二元关系和三元关系的特性。第六部分讨论了社会网络的统计方法。 《社会网络分析--方法与应用》是一本参考书，适用于那些想对网络分析方法有一个全面了解的读者，也适用于收集了网络数据，并想找到恰当方法对数据进行分析的研究者。它也是一本教科科书，较全面地涵盖了社会网络分析领域的方法论和应用。

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.

对各种复杂网络的定量与定性特征的科学理解已成为网络时代科学研究中一个极其重要的挑战性课题，网络科学就是一门正在兴起的面对这一挑战的交叉性学科。本书致力于系统地介绍网络科学的基本概念、思想和方法，使得具有高等数学基础的读者都能够看懂，并具备把网络科学方法用于实际网络分析的能力。为此，本书没有过多地陷入数学和物理推导，而是更为关注网络科学的思维习惯和研究方式。本书在概要介绍了网络科学的背景和研究意义之后，分为四个部分详细介绍了网络基本概念、网络拓扑性质、网络拓扑模型和网络动力学。
本书适合作为研究生和高年级本科生的网络科学教材，也可供自然科学、工程技术科学和社会科学领域的研究人员与学生参考。

"Of those who created the intellectual capital used to launch the enterprise of professional sociology, Georg Simmel was perhaps the most original and fecund. In search of a subject matter for sociology that would distinguish it from all other social sciences and humanistic disciplines, he charted a new field for discovery and proceeded to explore a world of novel topics in works that have guided and anticipated the thinking of generations of sociologists. Such distinctive concepts of contemporary sociology as social distance, marginality, urbanism as a way of life, role-playing, social behavior as exchange, conflict as an integrating process, dyadic encounter, circular interaction, reference groups as perspectives, and sociological ambivalence embody ideas which Simmel adumbrated more than six decades ago."--Donald N. Levine
Half of the material included in this edition of Simmel's writings represents new translations. This includes Simmel's important, lengthy, and previously untranslated "Group Expansion and Development of Individuality," as well as three selections from his most neglected work, "Philosophy of Money"; in addition, the introduction to "Probleme der Geschichtsphilosophie," chapter one of the "Lebensanschauung," and three essays are translated for the first time.

生命体、城市、公司，乃至一切复杂万物，是否都存在相通的内在生长逻辑？制约生命与死亡、城市化的扩张及公司寿命的决定因素究竟是什么？人类能否通过融汇生物学、物理学、社会学、经济学等跨学科知识，找到揭开复杂万物生长背后的简单法则？
享誉全球的复杂系统性科学研究中心圣塔菲研究所前所长杰弗里•韦斯特潜心研究数十年，经过反复试验和求证，终于找到了解构复杂世界的简单逻辑——规模法则。在韦斯特眼中，规模成为衡量世间万物的不变标准，利用规模法则，复杂世界变得可量化、可预测、清晰明了且极度统一。规模法则阐明了从生命体到城市、从经济体到公司的生长与衰败都离不开其自身规模的制约，并与其规模呈一定比例关系，遵守统一的公式。这一算法框架不仅为人类思考未知世界提供了难得的简单法则，而且能解答不同生命体的生长极限之谜，优化城市发展架构并找到推动经济实现可持续发展、公司从初创到卓越的生长曲线。
《规模》将帮助你重新思考生命、认识自身、了解你的生活与工作，并告诉你复杂世界其实充满简单的逻辑，只要跳脱思维框架，打破学科限制，你就会重新看清你周遭的一切。

本书共收录格兰诺维特六篇代表性论文，向国内读者介绍社会关系网络与经济行动间的关系，也就是新经济社会学和关系管理学的一些主要理论概念。格兰诺维特倡导的新经济社会学在20世纪80年代后成为社会学界的显学，该学派试图将社会结构以及人的非理性因素如信任、情感等带入经济分析之中，开启了社会分析与以自利动机、理性选择为前提的经济分析之间的对话。

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.

过去十年来，现代社会中复杂的连通性向公众展现出与日俱增的魅力。这种连通性在许多方面都有体现并发挥着强大的作用，包括互联网的快速成长、全球通信的便捷，以及新闻与信息（及传染病与金融危机）以惊人的速度与强度传播的能力。这种现象涉及网络、动机和人们的聚合行为。网络将人们的行为联系起来，使得每个人的决定可能对他人产生微妙的后果。
本书是本科生的入门教材，同时也适合希望进入相关领域的高层次读者。它从交叉学科的角度出发，综合运用经济学、社会学、计算与信息科学以及应用数学的有关概念与方法，考察网络行为原理及其效应机制。以深入浅出的方式描述了在网络的作用下正在浮现与发展起来的一些交叉学科领域，讨论了社会、经济和技术领域相互联系的若干基本问题。本书是一本带你跨入信息科学和社会科学交叉领域研究之门的优秀参考书。

This text is intended for the general reader who is interested in science. The author is a physicist who is well known for his development of the property called "self organized criticality", a property or phenomenon that lies at the heart of large dynamical systems. It can be used to analyze systems that are complicated, and which are part of the new science of complexity. It is a unifying concept that can be used to study phenomena in fields as diverse as economics, astronomy, the earth sciences, and physics. The author discusses his discovery of self organized criticality, its relation to the world of classical physics computer simulations and experiments which aid scientists' understanding of the property and the relation of the subject to popular areas such as fractal geometry and power laws cellular automata, and a wide range of practical applications.

《社会理论的基础(套装全上下册)》是社会学领域理性选择学派主将詹姆斯•科尔曼的代表作。《社会理论的基础(套装全上下册)》是回应社会系统是如何行动的这一核心问题的。《社会理论的基础(套装全上下册)》共分五编，从最基本的人的行动和关系谈起一直论述到复杂的社会行动的数学分析。内容详尽，由浅入深，理论性强。

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.