website to be a useful and exciting tool on day one, but also allows users to expand its content with information about social networks that only they know.

• Passive networks are automatically created based on current or past co-authorship history, organizational relationships and geographic proximity. It extends these networks by discovering new connections, such as identifying "similar people" who share related keywords. Offering these additional suggestions, Profiles RNS can lead you to unexpected opportunities for collaboration and new sources of expertise.
• Users can manually create active networks by identifying advisor, mentor and collaborator relationships with colleagues. Profiles RNS will soon support the OpenSocial standard, which will let researchers use the same types of plug-in collaboration gadgets found on LinkedIn and Google within their active networks.

More Than Simple Search Results

Profiles RNS provides much more useful information than typical directory listings or ordinary literature searches. Algorithms analyze publication data to define a researcher's professional interests with a set of prioritized keywords.

The factors used to rank and weight the significance of a specific keyword as a useful descriptor of a researcher include:

• The researcher's position in the author list of a publication
• The importance of a keyword as a publication topic
• The date of a specific publication
• The overall commonness of a keyword in the literature
• The impact of a publication using citation information

The Profiles RNS Author Disambiguation Engine

Profiles RNS uses sophisticated multi-factorial matching algorithms to build a publication history automatically for ea