吕欣，谭索怡主编。复杂网络。科学出版社，2026.07 ISBN 978-7-03-083457-7 本书面向复杂网络理论与方法，内容涵盖图论与网络科学基础、网络指标、网络模型、网络抽样、网络鲁棒性、链路预测、网络传播、社团检测、时序网络、高阶网络、图表示学习等复杂网络11大核心领域。通过原理解析、数学推导、流程分析、计算示例和案例演示，精心设计320个图表、48个代码示例及5大类学习模块，遴选了14个实践案例，力求构建完整而清晰的知识框架，使读者能够系统认识复杂网络的知识体系，并掌握网络建模与分析的核心技术。此外，本书还配套丰富的数子化学习资源和全套教辅资料，形成了理论与实践并重的立体化教学体系。
☆45Jul 25, 2026Updated 3 months ago
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