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描述
网络分析导论 复杂网络及其性质、随机图、网络形成模型。网页图：模型、搜索引擎、页面排序算法。社区聚类、社区结构。舆论形成、在线社交网络。讲座，每周 3 小时；实验/辅导，每周 1 小时。先决条件：两门 4U 数学学分或经授课教师许可。注：本课程可能以多种授课方式提供。授课方式将在学术课程表中、适用学期列出。完成本课程将取代此前在 MATH 2P77 中获得的成绩与学分。
先修课程
- 先决条件：两门 4U 数学学分或经授课教师许可。
条件与方式
- 先决条件：两门 4U 数学学分或经授课教师许可。
- 注：本课程可能以多种授课方式提供。授课方式将在学术课程表中、适用学期列出。完成本课程将取代此前在 MATH 2P77 中获得的成绩与学分。
原文参考文本
Introduction to Network Analysis Complex networks and their properties, random graphs, network formation models. Webgraph: models, search engines, page-ranking algorithms. Community clustering, community structure. Opinion formation, on-line social networks. Lectures, 3 hours per week; lab/tutorial, 1 hour per week. Prerequisite(s): two 4U mathematics credits or permission of the instructor. Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Completion of this course will replace previous assigned grade and credit obtained in MATH 2P77.
- Prerequisite(s): two 4U mathematics credits or permission of the instructor.
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Completion of this course will replace previous assigned grade and credit obtained in MATH 2P77.
来源与参考
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来源参考 : https://brocku.ca/webcal/2024/undergrad/math.html