W3233 -- Networks and Complexity in Social Systems (Collective Dynamics Group ISERP -- Columbia University) Course Syllabus

The Networks and Complexity in Social Systems course commences with an overview of the nascent field of complex networks, dividing it into three related but distinct strands: Statistical description of large scale networks, viewed as static objects; the dynamic evolution of networks, where now the structure of the network is understood in terms of a growth process; and dynamical processes that take place on fixed networks; that is, "networked dynamical systems". (A fourth area of potential research ties all the previous three strands together under the rubric of co-evolution of networks and dynamics, but very little research has been done in this vein and so it is omitted.) The remainder of the course treats each of the three strands in greater detail, introducing technical knowledge as required, summarizing the research papers that have introduced the principal ideas, and pointing out directions for future development. With regard to networked dynamical systems, the course treats in detail the more specific topic of information propagation in networks, in part because this topic is of great relevance to social science, and in part because it has received the most attention in the literature to date.

Part 1 - talk on using Creative Commons and opensource software to make Open Content (what is creative commons ?, what is open content ?)

This is the first part of a 2 part video from my talk in May 2008 on open source content creation.

Part 2 - talk on using Creative Commons and opensource software to make Open Content. (Making of Doljer)

This is the second part of a 2 part video from my talk in May 2008 on open source content creation. Here I am talking about the Making of Doljer

Building Software Solutions

This presentation explains how we move from a problem definition to an algorithmic solution using simple tools like noun verb analysis. It also looks at how we might judge the quality of a solution through coupling, cohesion and generalisation.

Software Engineering Models

This presentation gives a high level introduction to modelling in software engineering. It looks in detail at how to model behaviour, in particular using UML Activity Diagrams.

Team Quintinlessness: Open source software resource set

INFO2009 Assignment 2 reference list for team "Quintinlessness" - Subject: Open source software

Software for identifying bacteria - PIBWin

The PIBWin programme provides probabilistic identification of unknown bacterial isolates against identification matrices of known strains. Bryant TN. PIBWin - software for probabilistic identification. Journal of Applied Microbiololgy. 2004;97(6):1326-7.

Wiki Software Comparison (eHandbook)

Comparison of brand-leading 'Wiki' sofware packages with respect to implementation of Wiki-style electronic resource for handbooks.

Algorithmic Complexity and Computability

High-level introduction for web science students, rather than for computer science students.

Programming & Software

An overview of programming and software development.

INFO2009 Group 1 -- Open Source Software Licensing Infographic

An infographic for open source software licensing. This resource can serve as a simple introduction to open source software licensing, and as a reference for future use.

Programming Principles: Software Design

In this session we look at some of the basics of good code design, including avoiding duplication and designing for loose coupling and high cohesion.

INFO2009 resource: Infographic on the evolution of Open Source Software

Infographic providing a timeline of important events in the history of open source software since the fifties. Also includes stats for OSS licenses, usage in Business and reasons for participating in an OSS community.

IRP Poster - Side-effects in Software Transactional Memory

Poster for IRP project 'Side-effects in Software Transactional Memory: Extending Deuce with TwilightSTM'