Abstract
Structural relationships, expressed as networks, have come to the fore in data analytics. One example are article networks based on pages in the open crowd-sourced Wikipedia. An analysis of real-world article networks from Wikipedia (with the MediaWiki understructure) shows the promise of this analytical approach to understand related ideas. This chapter suggests ways to address observed article network gaps in particular informational domains through value-added linking, creating article stubs, authoring works, and other efforts. This approach has additional applications on other MediaWiki-based sites.