Networked Life: Module CIS 112, University of Pennsylvania, Spring 2008

What kind of science is appropriate for understanding the Facebook? How does Google find what you're looking for... ...and exactly how do they make money doing so? What structural properties might we expect any social network to have? How does your position in an economic network (dis)advantage you? How are individual and collective behavior related in complex networks? What might we mean by the economics of spam? What do game theory and the Paris subway have to do with Internet routing? What's going on in the pictures to the left and right? Networked Life looks at how our world is connected -- socially, economically, strategically and technologically -- and why it matters. The answers to the questions above are related. They have been the subject of a fascinating intersection of disciplines including computer science, physics, psychology, mathematics, economics and finance. Researchers from these areas all strive to quantify and explain the growing complexity and connectivity of the world around us, and they have begun to develop a rich new science along the way. Networked Life will explore recent scientific efforts to explain social, economic and technological structures -- and the way these structures interact -- on many different scales, from the behavior of individuals or small groups to that of complex networks such as the Internet and the global economy. This course covers computer science topics and other material that is mathematical, but all material will be presented in a way that is accessible to an educated audience with or without a strong technical background. The course is open to all majors and all levels, and is taught accordingly. There will be ample opportunities for those of a quantitative bent to dig deeper into the topics we examine. The majority of the course is grounded in scientific and mathematical findings of the past two decades or less.

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.

What is Cybercrime and what do we do about?

A guest lecture by Professor David S.Wall from the University of Durham. This talk will explore the way that networked technology has transformed criminal behaviour. The first part will map out cybercrimes and identify the challenges they pose for both criminologists and also regulators. The second part will show that cybercrimes are informational, networked and global. In this section it will also be shown that cybercrimes are highly disorganised forms of offending when compared to the organisation of more 'traditional' crimes, but display some new organisational logics of their own. The third part of the talk will illustrate how the 'culture of fear' that has arisen around cybercrime has placed demands upon government and police - demands that, for reasons related to the distinct nature of cybercrimes, are hard to resolve. The fourth and final part will look at the new policing arrangements that are designed, it is argued here, to close the reassurance gap.

Personal Learning Environments and Digital Literacies

This is a version of a seminar/keynote talk I have given a few times. It argues that VLEs are no longer fit for purpose and that students should learn to take responsibility for their own toolsets.

An Animating Spark: Mundane Computing and the Web of Data

Network connectivity is reaching more and more into the physical world. This is potentially transformative – allowing every object and service in the world to talk to one other—and to their users—through any networked interface; where online services are the connective tissue of the physical world and where physical objects are avatars of online services.