Learn More
Random graphs with a given degree sequence are a useful model capturing several features absent in the classical Erd˝ os-Rényi model, such as dependent edges and non-binomial degrees. In this paper, we use a characterization due to Erd˝ os and Gallai to develop a sequential algorithm for generating a random labeled graph with a given degree sequence. The(More)
In order to conduct analyses of networked systems where connections between individuals take on a range of values – counts, continuous strengths or ordinal rankings – a common technique is to dichotomize the data according to their positions with respect to a threshold value. However, there are two issues to consider: how the results of the analysis depend(More)
Scientific investigations on processes on networks (more generally, dyadic relational data) often assume that the initial data collection method on relations between individuals is perfect – that is, the representation given to the connection is without noise or random variation. Other investigations on a network presume that there is an underlying process(More)
Recent research indicates that knowledge about social networks can be leveraged to increase efficiency of interventions (Valente, 2012). However, in many settings, there exists considerable uncertainty regarding the structure of the network. This can render the estimation of potential effects of network-based interventions difficult, as providing(More)
Various methods have been proposed for creating a binary version of a complex network with valued ties. Rather than the default method of choosing a single threshold value about which to dichotomize, we consider a method of choosing the highest k outbound arcs from each person and assigning a binary tie, as this has the advantage of minimizing the isolation(More)
An effectively designed examination process goes far beyond revealing students' knowledge or skills. It also serves as a great teaching and learning tool, incentivizing the students to think more deeply and to connect the dots at a higher level. This extends throughout the entire process: pre-exam preparation, the exam itself, and the post-exam period (the(More)
14:00-14:45 " Network-based auto-probit modeling with application to protein function prediction " Eric D. Kolaczyk 09:35-10:10 " Quantifying and comparing complexity of cellular networks: structure beyond degree statistics " Alessia Annibale and Anthony Coolen 10:10-10:45 " Node and link roles in protein-protein interaction networks " " Using Distinct(More)
  • 1