課程名稱 |
社會網絡分析與視覺化 Introduction to Social network Analysis and Visualization |
開課學期 |
112-1 |
授課對象 |
文學院 圖書資訊學研究所 |
授課教師 |
唐牧群 |
課號 |
LIS5102 |
課程識別碼 |
126 U1650 |
班次 |
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學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期一6,7,8(13:20~16:20) |
上課地點 |
計資212 |
備註 |
U選課程大學部與研究所學生均可修習。 總人數上限:30人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
This is an introductory course to the basic concepts in social network analysis, emphasizing its application in bibliometrics, knowledge management, and digital humanities. Recent years have increased interest in social network analysis (SNA). SNA techniques have been applied in a wide range of domains. There has been a close affinity between SNA and bibliometrics in LIS, where SNA has been used in the study of scholarly collaboration and citation analysis as a way of tracing the intellectual influences manifested in collaboration and citation behaviors among scholars. Author collaboration network typology has been used to represent the cohesion of a scholar community, and co-word network has been used to reveal the intellectual structure and sub-specialties of a domain. In knowledge management, SNA has also been used to assess the typology of social networks in an organization, which has been used to measure the social capital of the individuals and the organization as a whole. With the recent popularity of social networking sites, a growing availability of network data also makes it possible to study similarity and relatedness within a network of people, documents, and websites.
This class is designed for advanced undergraduates or graduate students who wish to acquire a basic understanding of SNA, gain first-hand experience with SNA techniques, and explore the possibility of utilizing SNA for their research.
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課程目標 |
The class seeks to:
1. Survey the network perspective on a wide range of models and phenomena such as "the small world", "strong/weak ties", and network dynamics such as homophily, reciprocity, and preferential attachment.
2. Introduce students to empirical studies utilizing SNA methods in scholarly communication/bibliometrics, social capital, education, and recommendation networks.
3. give students hands-on experiences with collecting and analyzing network data centered on the software packages UCINET, NetDraw, VosViewer, and Gephi.
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課程要求 |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
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參考書目 |
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評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Participation |
10% |
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2. |
Class assignments |
60% |
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3. |
Final project |
30% |
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週次 |
日期 |
單元主題 |
第1週 |
9/4 |
Introduction: A network perspective |
第2週 |
9/11 |
Relational data |
第3週 |
9/18 |
Two-mode network |
第4週 |
9/23 |
Graph |
第5週 |
9/25 |
Cohesion: E-I index |
第6週 |
10/2 |
Centrality and Centralization |
第7週 |
10/16 |
Central-Periphery/Coreness |
第8週 |
10/23 |
Community detection |
第9週 |
10/30 |
Statistical testing |
第10週 |
11/6 |
Structural equivalent and clustering |
第11週 |
11/13 |
Network Modeling |
第12週 |
11/20 |
Bibliographic network and VosViewers |
第13週 |
11/27 |
Social capital: Strong/weak ties
Assignment 3 |
第14週 |
12/4 |
Dynamic network |
第15週 |
12/11 |
Discussion of your final project |
第16週 |
12/18 |
Final presentation |
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