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Advanced Topics in Mobile Communications (AToMIC): Social Network in Mobile Big Data (Summer 2016) (view source)

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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.


==Presentation Schedule==
==Passing requirements==
TBD
* 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" | 22.04.2016
| align="right" | 22.04.2016
| Big data methods (machine learning, data mining, semantic and structural analysis)
| Big data methods (machine learning, data mining, etc)
|
| [https://wiki.net.informatik.uni-goettingen.de/w/images/7/7c/ATOMIC-SS16-02-BigDataAnalysis.pdf pdf]
|-
|-
| align="right" | 29.04.2016
| align="right" | 29.04.2016
| Big data methods (cont.); data samples  
| Big data methods (cont.); data samples  
|
|[https://wiki.net.informatik.uni-goettingen.de/w/images/c/c9/ATOMIC-Demo%26CourseAssignment.pdf pdf]
|-
|-
| 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
| Mining opinion leaders and structure hole spanners
| cancelled due to business trips
|
|
|-
|-
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|
|
|-
|-
| align="right" |  25.06.2016
| align="right" |  24.06.2016
| Practical session
| Practical session (Demonstration)
|
|
|-
|-
| align="right" |  01.07.2016
| align="right" |  01.07.2016
| Final presentations (1)
| cancelled
|
|
|-
|-
| align="right" |  08.07.2016
| align="right" |  08.07.2016
| Final presentations (2)
| Final presentations
|
|
|-
|-
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| cancelled due to business trip
| cancelled due to business trip
|
|
|-
|}
== Topics ==
The list of topics is as follows. The topic description shows a basic task for each topic. The literature provided here is only for reference. Each group should read more related literatures about your topic to give a comprehensive survey.
{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Dataset'''
|{{Hl2}} |'''Literature'''
|-
| Influential user identification (assigned to Alireza Amiri and Tayyebe Emadinia)
|The project is to identify influential users based on users’ features.
|Twitter [http://snap.stanford.edu/data/egonets-Twitter.html]
|[http://dl.acm.org/citation.cfm?id=2503797] [http://dl.acm.org/citation.cfm?id=1718520]
|-
| Community detection (assigned to Aynur Amirfallah)
|The project is to cluster different communities based on topics.
|Facebook [http://snap.stanford.edu/data/egonets-Facebook.html]
|[http://dl.acm.org/citation.cfm?id=2501657][http://dl.acm.org/citation.cfm?id=1348552]
|-
|Point-of-Interest recommendation
|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]
|[http://dl.acm.org/citation.cfm?id=2525357][http://dl.acm.org/citation.cfm?id=2484030]
|-
|Link prediction and friend recommendation
|The project is to make friend recommendation based on social networks and check-ins.
|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]
|-
|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.
|Social Evolution Dataset [http://realitycommons.media.mit.edu/socialevolution4.html]
|[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5284112][http://www.mdpi.com/2220-9964/4/3/1512]
|-
|-
|}
|}
Tzhao
87

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