Based on the chaos movement and the clonal selection theory, a novel artificial immune system algorithm, Adaptive Chaos Clonal Evolutionary Programming Algorithm (ACCEP), is proposed in this paper. The new algorithm uses the Logistic Sequence to control the mutation scale and uses the Chaos Mutation Operator to control the clonal selection. Compared with SGA and Clonal Selection Algorithm, ACCEP can enhance the precision and stability, avoid prematurity to some extent, and have the high convergence speed. The results of the experiment indicate that ACCEP has the capability to solve complex machine learning tasks, like Multimodal Function Optimization.

An algorithm is proposed to detect community structures in social networks. The algorithm begins with a community division based on prior knowledge of the degrees of the nodes and then combines the communities until a clear partition is obtained. In applications such as a computer-generated network, Ucinet networks, and Chinese rural-urban migrants' social networks, the algorithm can achieve higher modularity and greater speed than others in the recent literature.

尽管社会融合一直为社会学家、心理学家、政策分析家和政策制定者们所关注，但社会融合的定义还比较纷杂，其理论也缺乏一贯性，一般被视为多维度现象或多参数的潜变量。根据研究对象和目的的不同，将相关研究区分为实证研究和政策应用两个研究领域；依据关注层次的不同，将社会融合的研究归纳为个体层次、群体层次和整体层次等三个层次。以此为脉络，首先介绍了社会融合在社会学、社会心理学和政策研究中的概念；其次，对社会融合由来已久的“同化论”与“多元化”之间的争议进行了回顾，并评述了社会融合和社会网络理论之间的关系；再次，总结了社会融合的测量方法及其在实证研究和政策研究中的应用情况；最后指出社会融合时中国转型社会背景下相关研究的借鉴意义，并对其在中国的应用前景进行了讨论。

Inspired by the mechanism of small-world phenomenon, some smallworld optimization operators, mainly including the local short-range searching operator and random long-range searching operator, are constructed in this paper. And a new optimization algorithm, Small-World Optimization Algorithm (SWOA) is explored. Compared with the corresponding Genetic Algorithms (GAs), the simulation experiment results of some complex functions optimization indicate that SWOA can enhance the diversity of the population, avoid the prematurity and GA deceptive problem to some extent, and have the high convergence speed. SWOA is shown to be an effective strategy to solve complex tasks.

本文简要回顾公共管理科学和复杂性科学研究的进展，探讨将复杂性科学用于公共管理科学研究的必要性和可行性。以多学科交叉融合为特色的复杂性科学可以为推动公共管理发展提供理论支持，为公共管理科学研究提供新的视角和具体研究方法，并扩大公共管理科学的研究领域；因此，对复杂性科学视野下公共管理的未来重要研究领域的展望也是本文探讨的问题之一。