TU Graz: Course: 707.000 Web Science and Web Technology: Lecture 2: Small World Problem

We will discuss several examples and research efforts related to the small world problem and set the ground for our discussion of network theory and social network analysis. Readings: An Experimental Study of the Small World Problem, J. Travers and S. Milgram Sociometry 32 425-443 (1969) [Protected Access] Optional: The Strength of Weak Ties, M.S. Granovetter The American Journal of Sociology 78 1360--1380 (1973) [Protected Access] Optional: Worldwide Buzz: Planetary-Scale Views on an Instant-Messaging Network, J. Leskovec and E. Horvitz MSR-TR-2006-186. Microsoft Research, June 2007. [Web Link, the most recent and comprehensive study on the subject!] Originally from: http://kmi.tugraz.at/staff/markus/courses/SS2008/707.000_web-science/

Posing the question: an academic guide to planning essays

This guide will give you advice on picking your subject, question and methodology for an extended essay. It will also give you hints and tips on how to research for and structure the essay.

Using Problem Steps Recorder on Windows 7

Problem Steps Recorder is a standard piece of software on Windows 7 computers, which allows you to record a sequence of actions on your computer, along with screenshots. It can help ServiceLine diagnose any problems that you might be experiencing.

Problem-Based Learning Using CaseMaker - Richard Collier

This is one of a series of short case studies describing how academic tutors at the University of Southampton have made use of learning technologies to support their students.

SB.TV's successful yet unconventional establishment of a Brand based solely on Social Network Success may present a problem in long-term survival

Research Proposal in SB.TV case study. New dimension to brand model for Web 2.0 success

Modelling for Problem Solving in the Large

This a short presentation which introduces how models and modelling help us to solve large scale problems in the real world. It introduces the idea that dynamic behaviour is caused by interacting components in the system. Feedback in the system makes behaviour prediction difficult unless we use modelling to support understanding