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Some Thoughts About the Social/Graph Component. Group 1, Xi’an University of Posts and Telecommunications
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Some Thoughts Aboutthe Social/Graph Component Group 1, Xi’an University of Posts and Telecommunications Lin Dayi(Computer Science and Technology), Li Li (Software Engineering), Liu Yongkang (Computer Science and Technology), Lin Shangze (Software Engineering), RenLixiang (Computer Science and Technology), Li Tong (Computer Science and Technology), ChanggongXiaorong (Network Engineering), Du Bingyang (Software Engineering), Song Xingchen (Computer Science and Technology), Wang Duoxiong (Software Engineering), LuoYuping (Computer Science and Technology), Wang Zhaojiang (Network Engineering), Gao Yuan (Computer Science and Technology), Chen Zhiwei (Computer Science and Technology), JiaYitong (Computer Science and Technology) XiyouLinux Group / Xi’an Gnome User Group heylindayi@gmail.com
Graph Search based on Big Data From Social Network (Facebook, Twitter, Weibo, etc.) • Complex Network Analytics • Efficiency & Accuracy
Data Model • Data Source: A Social Networking Site about Movies as an example • 3 Parts: • Structured: Connection between users (followers, etc.) • Semi-Structured: User relations in comments under a certain movie (@, etc.) • Unstructured: Comments under a certain movie Structured: Connection between users Unstructured: Comments in Natural Language Semi-Structured: Comments: @, etc.
Query • Efficiency (Time Cost): • Sentiment Analysis in different dimensions • Object: Movie plot, Character • User division: Area, Sex, Age • Connection Between Users • The Average distance between every two users • Accuracy: • Credibility of a Certain Comment • Judging fake users
Thanks Questions?