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Number of items: 7.

An Economists View of Web Science
Justin Bradley . 23 Feb 2009 18:08

Social Networking explained by an economic model of cost and benefit.

Out there
Justin Bradley . 14 Jan 2011 13:51

Slides on how to utilize the web to create an online portfolio using social network and tumblr. Also introduction to basic CMS's including indexhibit, for setting up a simple portfolio website.

Penny Power from ecademy [URL hyperlink to video file]
Justin Bradley . 20 Feb 2019 14:54

Entrepreneurship Guest Lecture Series

Renssellaer Institute. Jim Hendler. CSCI 4964/COMM 49652 – Web Science. Social Network
Justin Bradley . 29 Sep 2008 04:18

Social Networks on the World Wide Web - lecture by Dr. Jennifer Golbeck

Research on Social Network Sites
Justin Bradley . 02 Oct 2008 09:17

A bibliography of research on Social Network web sites. The research contained below is focused specifically on social network sites (or "social networking" sites). Some of this is connected to social media, social software, Web2.0, social bookmarking, educational technologies, communities research, etc. but this is not the organizing focus and not everything related to these other topics is included here. This list is not methodologically or disciplinarily organized. There is work here from communications, information science, anthropology, sociology, economics, political science, cultural studies, computer science, etc.

Social Networks and Small World phenomena
Justin Bradley . 18 Feb 2009 07:37

Social Networking tools like Facebook yield recognisable small world phenomena, that is particular kinds of social graphs that facilitate particular kinds of interaction and information exchange.

W3233 -- Networks and Complexity in Social Systems (Collective Dynamics Group ISERP -- Columbia University) Course Syllabus
Justin Bradley . 30 Sep 2008 16:30

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.

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