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Holding at least a bachelor's degree on computer science or related fields. | Holding at least a bachelor's degree on computer science or related fields. | ||
== | ==Passing requirements== | ||
* Demonstration (20 ~ 25 min. presentation + 10 min. Q&A for each group) | |||
** This accounts for 20% of your grade. | |||
** Present practical work in groups (each group member should present your own specific work). | |||
* Final presentation (30 ~ 35 min. presentation + 10 min. Q&A for each group). | |||
** This accounts for 40% of your grade. | |||
** Give a final presentation in groups (each group member should present your own specific work). | |||
** The final presentation should contain a comprehensive survey about the selected topic and final experiment results. | |||
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]). | |||
** This accounts for 40% of your grade. | |||
** Everyone in each group writes a report on your specific work in your topic (including your own comprehensive survey on the selected topic and your own practical work). | |||
* The Demonstration and final presentation must be given in English. | |||
* The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.). | |||
* If your group consists of more than or less than 2 students, you can adjust your total presentation duration. | |||
==Schedule== | ==Schedule== | ||
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| align="right" | 06.05.2016 | | align="right" | 06.05.2016 | ||
| Social network theory | | Social network theory | ||
| | |[https://wiki.net.informatik.uni-goettingen.de/w/images/5/53/ATOMIC-SS16-03-SocialNetworkTheory.pdf pdf] | ||
|- | |- | ||
| align="right" | 13.05.2016 | | align="right" | 13.05.2016 | ||
| Interdisciplinary methods and case study | | Interdisciplinary methods and case study | ||
| | |[https://wiki.net.informatik.uni-goettingen.de/w/images/8/8b/ATOMIC-SS16-04-Integrating_Data_Mining_and_Qualitative_Studies.pdf pdf][https://wiki.net.informatik.uni-goettingen.de/w/images/e/e5/ATOMIC-SS16-04-Triadic.pdf pdf] | ||
|- | |- | ||
| align="right" | 20.05.2016 | | align="right" | 20.05.2016 | ||
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|- | |- | ||
| align="right" | 03.06.2016 | | align="right" | 03.06.2016 | ||
| | | cancelled due to business trips | ||
| | | | ||
|- | |- | ||
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|- | |- | ||
| align="right" | | | align="right" | 24.06.2016 | ||
| Practical session | | Practical session (Demonstration) | ||
| | | | ||
|- | |- | ||
| align="right" | 01.07.2016 | | align="right" | 01.07.2016 | ||
| | | cancelled | ||
| | | | ||
|- | |- | ||
| align="right" | 08.07.2016 | | align="right" | 08.07.2016 | ||
| Final presentations | | Final presentations | ||
| | | | ||
|- | |- | ||
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|{{Hl2}} |'''Literature''' | |{{Hl2}} |'''Literature''' | ||
|- | |- | ||
| Influential user identification (assigned) | | Influential user identification (assigned to Alireza Amiri and Tayyebe Emadinia) | ||
|The project is to identify influential users based on users’ features. | |The project is to identify influential users based on users’ features. | ||
|Twitter [http://snap.stanford.edu/data/egonets-Twitter.html] | |Twitter [http://snap.stanford.edu/data/egonets-Twitter.html] | ||
|[http:// | |[http://dl.acm.org/citation.cfm?id=2503797] [http://dl.acm.org/citation.cfm?id=1718520] | ||
|- | |- | ||
| Community detection (assigned) | | Community detection (assigned to Aynur Amirfallah) | ||
|The project is to cluster different communities based on topics. | |The project is to cluster different communities based on topics. | ||
|Facebook [http://snap.stanford.edu/data/egonets-Facebook.html] | |Facebook [http://snap.stanford.edu/data/egonets-Facebook.html] | ||
|[http:// | |[http://dl.acm.org/citation.cfm?id=2501657][http://dl.acm.org/citation.cfm?id=1348552] | ||
|- | |- | ||
|Point-of-Interest recommendation | |Point-of-Interest recommendation | ||
|The project is to make point-of-interest(POI) recommendation based on social influence and check-ins. | |The project is to make point-of-interest(POI) recommendation based on social influence and check-ins. | ||
|Gowalla [http://snap.stanford.edu/data/loc-gowalla.html] | |Gowalla [http://snap.stanford.edu/data/loc-gowalla.html] | ||
|[http:// | |[http://dl.acm.org/citation.cfm?id=2525357][http://dl.acm.org/citation.cfm?id=2484030] | ||
|- | |- | ||
|Link prediction and friend recommendation | |Link prediction and friend recommendation | ||
|The project is to make friend recommendation based on social networks and check-ins. | |The project is to make friend recommendation based on social networks and check-ins. | ||
|Brightkite [http://snap.stanford.edu/data/loc-brightkite.html] | |Brightkite [http://snap.stanford.edu/data/loc-brightkite.html] | ||
|[https://www.researchgate.net/publication/226566834_A_Survey_of_Link_Prediction_in_Social_Networks][https://www.cl.cam.ac.uk/~cm542/papers/kdd2011.pdf] | |[https://www.researchgate.net/publication/226566834_A_Survey_of_Link_Prediction_in_Social_Networks][https://www.cl.cam.ac.uk/~cm542/papers/kdd2011.pdf] | ||
|- | |- | ||
|Analysis of individual activity and mobile pattern | |Analysis of individual activity and mobile pattern (assigned to Chencheng Liang) | ||
|The project is to give a detailed analysis of individual activity and mobile pattern based on everyday life tracks. | |The project is to give a detailed analysis of individual activity and mobile pattern based on everyday life tracks. | ||
|Social Evolution Dataset [http://realitycommons.media.mit.edu/socialevolution4.html] | |Social Evolution Dataset [http://realitycommons.media.mit.edu/socialevolution4.html] |
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