In the Acemoglu citation network, each node's visual diameter scales dynamically with citation count, while edges represent intellectual lineage and co-authorship. The site computes node size using twenty-five plus thirty-five hundredths times the square root of citations, clamped between thirty-five and eighty pixels. Selecting the Technology preset activates theme filters and repositions focus to labor automation papers, highlighting Acemoglu and Restrepo's 2018 model.
How does this citation network explorer model relationships across Daron Acemoglu's research, and what are its computational boundaries?
This application visualizes a curated static fixture of six prominent works by economist Daron Acemoglu using Cytoscape.js and a force-directed compound spring layout (CoSE). Node diameters scale as a bounded function of approximate citation counts, while edges toggle between an illustrative citation lineage and shared co-authorship pairs.
The network contains a hardcoded six-paper sample rather than an exhaustive index of Acemoglu's academic bibliography. Citation counts and edge connections are static snapshots rather than live bibliometric database feeds, and the four citation links represent curated thematic transitions rather than full citation dependency trees.
Click the 'Technology & Labor Turn' preset in the left rail. The theme checkboxes update to select only 'Tech & Labor', filtering the network down to two papers ('Skills, Tasks and Technologies' [2011] and 'The Race between Man and Machine' [2018]). The detail panel switches its focus to the 2018 paper, displaying an approximate citation count of 3,100 and updating the status toast to reflect two visible papers.
The tool computes visual node diameter using the formula clamp(35, 80, 25 + 0.35 * sqrt(citations)). This sublinear square-root scaling compresses wide disparities in citation counts (e.g., 1,240 vs 28,500) while clamping values between 35px and 80px so nodes remain selectable on screen.
The visualization maintains two distinct sets of four edges: one tracking conceptual citation trajectories across institutions and labor automation, and another tracking shared co-authors (such as joint work with James A. Robinson or David Autor). Toggling between modes alters edge semantics and graph topology without altering underlying paper metadata.