1. Some Thoughts About the 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), Ren Lixiang (Computer Science and Technology), Li Tong (Computer Science and Technology), Changgong Xiaorong (Network Engineering), Du Bingyang (Software Engineering), Song Xingchen (Computer Science and Technology), Wang Duoxiong (Software Engineering), Luo Yuping (Computer Science and Technology), Wang Zhaojiang (Network Engineering), Gao Yuan (Computer Science and Technology), Chen Zhiwei (Computer Science and Technology), Jia Yitong (Computer Science and Technology) Xiyou Linux Group / Xi’an Gnome User Group heylindayi@gmail.com

2.  Graph Search based on Big Data From Social Network (Facebook, Twitter, Weibo, etc.)  Complex Network Analytics  Efficiency & Accuracy

3. 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 Semi-Structured: Comments: @, etc. Unstructured: Comments in Natural Language

4. 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

5. Thanks Questions?