日本語

Course Code etc
Academic Year 2026
College Graduate School of Business
Course Code KT301
Theme・Subtitle
Class Format Face to face (all classes are face-to-face)
Class Format (Supplementary Items)
Campus Lecture
Campus Ikebukuro
Semester Fall Semester1
DayPeriod・Room Thu.3 , Thu.4
ログインして教室を表示する(Log in to view the classrooms.)
Credits 2
Course Number MIB6211
Language English
Class Registration Method Course Code Registration
Assigned Year 配当年次は開講学部のR Guideに掲載している科目表で確認してください。
Prerequisite Regulations
Acceptance of Other Colleges 履修登録システムの『他学部・他研究科履修不許可科目一覧』で確認してください。
Course Cancellation -(履修中止制度なし/ No system for cancellation)
Online Classes Subject to 60-Credit Upper Limit
Relationship with Degree Policy 各授業科目は、学部・研究科の定める学位授与方針(DP)や教育課程編成の方針(CP)に基づき、カリキュラム上に配置されています。詳細はカリキュラム・マップで確認することができます。
https://www.rikkyo.ac.jp/about/disclosure/educational_policy/business.html
Notes

【Course Objectives】

This seminar has four main goals: This course is designed to (1) explore the theoretical underpinnings of the concept; (2) introduce the basic methods needed to collect and analyze network data; (3) familiarize you with the process of initiating and completing a network analysis using real data from real cases; and (4) compare your network findings with results generated using other methods and techniques.

【Course Contents】

The concept of “network” has become central to many discussions of public management and public policy. However, many in the profession still remain uninformed of the rich opportunities that social network analysis (SNA) tools provide to understand public management and public policy. The focus of this SNA course is both theoretical (e.g., what are the key concepts of social network analysis) and methodological (e.g., how do we actually carry out research on social networks).

Japanese Items

【授業計画 / Course Schedule】

1 Introduction to SNA
2 Characterizing Network Analysis: The Network Perspective
3 Basic Concepts in SNA
4 Research Design and Data
5 Visualization
6 Centrality
7 Whole network concepts/ subgroups/ cohesion
8 Equivalence
9 Mid-term test
10 2-mode
11 Ego network
12 Review session
13 Final-term test
14 Research paper presentation and peer review 2

【活用される授業方法 / Teaching Methods Used】

板書 /Writing on the Board
スライド(パワーポイント等)の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above

【授業時間外(予習・復習等)の学修 / Study Required Outside of Class】

Conducting research for writing a final-term research paper

【成績評価方法・基準 / Evaluation】

種類 (Kind)割合 (%)基準 (Criteria)
平常点 (In-class Points)100 Attendance and participation(15%)
Mid-term test(15%)
最終テスト(Final Test)(15%)
Presentations(15%)
最終レポート(Final Report)(40%)
備考 (Notes)

【テキスト / Textbooks】

No著者名 (Author/Editor)書籍名 (Title)出版社 (Publisher)出版年 (Date)ISBN/ISSN
1 Stephen P Borgatti et al. Analyzing Social Networks (3rd Edition) Sage 2024 9781529609158

【参考文献 / Readings】

【履修にあたって求められる能力 / Abilities Required to Take the Course】

As this course is intended for graduate students, undergraduate students (including exchange students) are not allowed to enroll.

【学生が準備すべき機器等 / Equipment, etc., that Students Should Prepare】

1. Individual laptop is required in the classroom.
2. Data assignments will make use of UCINET. UCINET is available for a 90 day trial. Student copies are $40 (You should purchase a copy if you plan on pursuing network analysis beyond this Fall Semester).

【その他 / Others】

【注意事項 / Notice】