Networks of similar authors, available on the Scholarometer website (scholarometer.indiana.edu/explore.html).

<p>In this example scenario, the user is looking for potential members of an interdisciplinary panel on complex networks. Starting from a known physicist (“A L Barabási”) and navigating through “A Vespignani” and “F Menczer,” the user identifies “J Klienberg,” a computer scientist who studies networks.</p

Connections between Scholarometer and other Linked Open Data sources.

<p>Links are labeled with the correspondence relationships between resources. This diagram is a portion of the cloud diagram by Richard Cyganiak and Anja Jentzsch (lod-cloud.net). As in the original cloud diagram, the color of a node represents the theme of the data set and its size reflects the number of triples.</p

Interactive visualization of discipline network, available on the Scholarometer website (scholarometer.indiana.edu/explore.html).

<p>Interactive visualization of discipline network, available on the Scholarometer website (scholarometer.indiana.edu/explore.html).</p

Entropy contours of a model in which tags are drawn from the overall distribution of votes.

<p>When a tag is selected it receives a vote, bringing its total number of votes to . There are tags with at least one vote. We plot the area in which the average change in entropy . The colors represent the magnitude of the decrease in entropy, . Our heuristic threshold , also plotted, tries to capture the number of votes that results in the largest decrease in entropy, making a tag reliable.</p

Distribution of JCR categories for top 100 authors based on

<p><b> (left) and </b><b> (right) selected from a balanced sample of 3000 authors.</b> The -index leads to a more balanced representation of diverse fields.</p

Top authors tagged with “computer science, artificial intelligence” according to various impact measures (as of January 2012).

<p>Top authors tagged with “computer science, artificial intelligence” according to various impact measures (as of January 2012).</p

A flow-chart illustrating how queries are handled by the Scholarometer query manager, employing heuristics to deal with problematic and existing author names.

<p>A flow-chart illustrating how queries are handled by the Scholarometer query manager, employing heuristics to deal with problematic and existing author names.</p

Temporal growth in numbers of authors, disciplines, and queries received by the Scholarometer system.

<p>Temporal growth in numbers of authors, disciplines, and queries received by the Scholarometer system.</p

Top disciplines based on and values, defined in the text as averages across all authors tagged with discipline .

<p>We considered disciplines with at least 20 authors (as of April 2012).</p

Top: Number of authors tagged with 20 most common disciplines over time.

<p>Note that the sets of authors in these disciplines may overlap, as authors are often tagged with multiple disciplines. Therefore the total number of unique authors in these 20 disciplines is actually lower than shown here. Bottom: Relative size of top 20 disciplines based on the number of tagged authors.</p