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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (8): 1-8    DOI: 10.11925/infotech.2096-3467.2017.08.01
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Analyzing Interaction of MOOC Users with Iteration Super Centrality
Wu Jiang(), He Chaocheng, Ma Panhao
School of Information Management, Wuhan University, Wuhan 430072, China
Center of Chinese E-commerce Research and Development, Wuhan University, Wuhan 430072, China
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Abstract  

[Objective] This paper evaluates the activity level of the MOOC forum participants and the quality of the forum themes, aiming to improve the participation of the forum users and increase their social impacts. [Methods] We proposed a new concept and algorithm based on “Iterative Super Centricity” with several iterations till convergence. We used nodes of the entire network to determine their importance and influence. [Results] The proposed ISCen (Iterative Super Centrality) algorithm could measure the importance of nodes and their ability to disseminate knowledge. [Limitations] We only examined one course and did not analyze those super-network indicators. [Conclusions] “Iterative Super Centrality” can reveal the activity level of the forum participants and the quality of the online contents, and then improve the MOOC services.
Key words： MOOC      Forum      Super-network      Iterative Super Centrality      Knowledge Flow     
Received: 31 May 2017      Published: 28 September 2017
ZTFLH:  G434  
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Jiang Wu
Chaocheng He
Panhao Ma

Cite this article:

Wu Jiang,He Chaocheng,Ma Panhao. Analyzing Interaction of MOOC Users with Iteration Super Centrality. Data Analysis and Knowledge Discovery, 2017, 1(8): 1-8.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.08.01     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I8/1

超点 v1 v2 v3 v4 v5 v6 v7
初值 2 2 3 2 1 1 1
1次迭代 0.1841 0.219 0.3048 0.0889 0.0857 0.0857 0.0317
2次迭代 0.1821 0.2286 0.317 0.0731 0.0884 0.0884 0.0224
3次迭代 0.1801 0.2333 0.3238 0.0642 0.0905 0.0905 0.0175
4次迭代 0.1787 0.2357 0.3276 0.0594 0.0919 0.0919 0.0149
5次迭代 0.1778 0.2368 0.3296 0.0567 0.0928 0.0928 0.0135
6次迭代 0.1773 0.2374 0.3307 0.0552 0.0933 0.0933 0.0127
7次迭代 0.177 0.2377 0.3314 0.0544 0.0936 0.0936 0.0123
… … … … … … … …
超边 e1 e2 e3 e4 e5
初值 3 2 2 3 2
1次迭代 0.3226 0.1452 0.2339 0.2177 0.0806
2次迭代 0.3369 0.1299 0.2492 0.2266 0.0574
3次迭代 0.3436 0.1205 0.2577 0.2332 0.0451
4次迭代 0.3469 0.1150 0.2622 0.2375 0.0385
5次迭代 0.3485 0.1118 0.2646 0.2402 0.0349
6次迭代 0.3493 0.1101 0.2659 0.2418 0.0329
7次迭代 0.3498 0.1091 0.2666 0.2427 0.0319
… … … … … …
用户名 主题1 主题2 主题3 主题4 主题5 主题6
黄如花 √ √ √ √ √ √
Zgg √ √ √ √ √
人在戏中 √ √ √ √ √
云层 √ √ √ √ √
Vivian2477 √ √ √ √
小猫钓金鱼 √ √ √ √
陈岚 √ √ √ √
Tomcaop √ √ √
飞沙走石 √ √ √
国际米兰 √ √ √
Arebec √ √
Fakebeast √ √
贝叶树下 √ √
用户名 点度 点ISCen
黄如花 6 0.664
Zgg 5 0.509
人在戏中 5 0.509
云层 5 0.503
Vivian2477 4 0.367
小猫钓金鱼 4 0.367
陈岚 4 0.32
Tomcaop 3 0.21
飞沙走石 3 0.171
国际米兰 3 0.214
Arebec 2 0.066
Fakebeast 2 0.091
贝叶树下 2 0.09
主题 边度 边ISCen
主题1 11 2.42
主题2 11 2.49
主题3 9 1.779
主题4 9 1.674
主题5 4 0.318
主题6 4 0.364
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