A Hitchhiker’s Guide to Structural Similarity

The Hitchhikers' Guide to Google

The web is big. Really big. This is good because the Web now encompasses the entire history, culture, science, and achievements of the human race, not to mention JPEGs of every romantically eligible member of that race under the age of 35. This is bad because it is now too big to find anything. The ‘Hitch-Hikers Guide to Google’ is a collection of patterns that will be your guide through the In...

A Beginner's Guide to Structural Equation Modeling

A Brief Guide to Structural Equation Modeling

To complement recent articles in this journal on structural equation modeling (SEM) practice and principles by Martens and by Quintana and Maxwell, respectively, the authors offer a consumer’s guide to SEM. Using an example derived from theory and research on vocational psychology, the authors outline six steps in SEM: model specification, identification, data preparation and screening, estimat...

A Guide to Selecting a Network Similarity Method

We consider the problem of determining how similar two networks (without known node-correspondences) are. This problem occurs frequently in real-world applications such as transfer learning and change detection. Many networksimilarity methods exist; and it is unclear how one should select from amongst them. We provide the first empirical study on the relationships between di↵erent networksimila...

Hitchhikers Get Around

Previous studies have shown that hitchhiking in standard GAs can cause premature convergence. In this study we show that hitchhiking also occurs in adaptive operators, specifically, selective crossover an adaptive recombination operator. We compare selective crossover with uniform crossover (a highly disruptive operator) and show that although selective crossover favours hitchhikers more than u...