Web Science Albert-Ludwigs-Universität zu Freiburg SS 2013 Prof. Dr. Peter Fischer Prof Dr. Dr....

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Web Science Albert-Ludwigs-Universität zu Freiburg SS 2013 Prof. Dr. Peter Fischer Prof Dr. Dr. h.c. Günter Müller Dr. Rafael Accorsi

Transcript of Web Science Albert-Ludwigs-Universität zu Freiburg SS 2013 Prof. Dr. Peter Fischer Prof Dr. Dr....

Page 1: Web Science Albert-Ludwigs-Universität zu Freiburg SS 2013 Prof. Dr. Peter Fischer Prof Dr. Dr. h.c. Günter Müller Dr. Rafael Accorsi.

Web Science

Albert-Ludwigs-Universität zu FreiburgSS 2013

Prof. Dr. Peter Fischer

Prof Dr. Dr. h.c. Günter Müller

Dr. Rafael Accorsi

Page 2: Web Science Albert-Ludwigs-Universität zu Freiburg SS 2013 Prof. Dr. Peter Fischer Prof Dr. Dr. h.c. Günter Müller Dr. Rafael Accorsi.

Slide 2162280-38-CSCW-09Dec10-CNZ-sis-Mun.ppt

Organisational

Admission:

• Generally: First-come, first-serve (according to waiting list registration)

• Attendance/topic preferences today (no response –> end of waiting list)

Topic Assignment

• Preliminary Today

• Finalized end of week

Time slots:

• Introduction lecture April 23rd, 13:00

• Two presentation slots July 10th/17th, 9:00 – 15:00

Page 3: Web Science Albert-Ludwigs-Universität zu Freiburg SS 2013 Prof. Dr. Peter Fischer Prof Dr. Dr. h.c. Günter Müller Dr. Rafael Accorsi.

Slide 3162280-38-CSCW-09Dec10-CNZ-sis-Mun.ppt

Game rules

• Participation in all sessions is mandatory• Submission of written report (5-10 pages DIN A4, 12 pt., single-spaced, two-column) by

June 8th, 2013• Oral presentation of each participant (English or German)

– Presentation 40 mins, discussion and questions 10 mins;

– Note that presentations have to be in PPT(X), PDF, ODF and need to follow the format template provided to you

• Final presentations need to be submitted by

– June 26th (first session)

– July 3rd (second session) ;• Participation in discussions and the quality of questions raised is also part of the final

grade assigned • The final grade is composed 75% oral presentation plus participation in discussions

and 25% written report

English preferred for presentation, but not mandatory – slides MUST be in English

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Slide 4162280-38-CSCW-09Dec10-CNZ-sis-Mun.ppt

What's important for the presentation

Make the presentation a cohesive and compelling story ...• Well-designed structure that enables the audience to follow the flow and argumentation

… which gets its points across ...• Many presentations are overloaded by formulae that remain unintelligible in the course of an

oral presentation• Focus on several main points that you want to make sure will stick with the audience

… while not limiting itself to trivialities• While not overloading the presentation with formulae, it should still satisfy academic levels

Time management• 40 mins for presentation (without intervention by questions) can be adequately planned

ahead

Convince by appealing and consistent visual presentation• Use the pre-defined slide templates and use bullets, fonts, bars, etc. in a consistent way• Do not overload the slides with info – the slides are meant as support for the oral

presentation!• The presentation should look good so that the audience loves to look at the slides!

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Slide 5162280-38-CSCW-09Dec10-CNZ-sis-Mun.ppt

Topics – First Session

1) Community detection

Overview of community detection methods and comparison [1,2]

2) Identifying influentials

Methods and techniques for identifying influentials in social networks [3-5]

3) User behavior

Understanding user behavior in social networks and classifying users [6,7]

4) Facebook: Profiles and Applications

User profiling and detection of malicious applications [8,9]

5) Classical e-commerce

Knowing and profiling the customers in e-commerce, and analyzing their behavior

[10,11]

6) Social networks as means for organizing illegal actions

Infrastructures of social networks as means of organizing illegal actions (riots,

revolution) [12-14]

Page 6: Web Science Albert-Ludwigs-Universität zu Freiburg SS 2013 Prof. Dr. Peter Fischer Prof Dr. Dr. h.c. Günter Müller Dr. Rafael Accorsi.

Slide 6162280-38-CSCW-09Dec10-CNZ-sis-Mun.ppt

Topics – Second Session

1) Identifying spammers

Methods and algorithms to identify and target spammers [15-18]

2) Spammers behavior

Investigation of spammers’ behavior, micro world and their tactics [19-21]

3) Identifying personality traits through social networks

Identification and prediction of personality characteristics from public data on social

media [22-24]

4) Tweets and privacy

Detecting and preventing privacy leaks in twitter [25,26]

5) De-Anonymizing Social Networks

Methods to trace and link users in social networks [27,28]

6) Smart Grid Privacy

Methods to violate and protect users’ privacy in Smart Grids [29,30]