This section links the selected Wired cover to the terms that appear most frequently in the titles of articles published on the website during the selected month.

Color Analysis

Each dot captures the dominant color of a Wired cover. The horizontal axis is chronological, while the Y axis reflects the metric selected in the dropdown (Hue, Brightness, or Saturation). Switch between metrics to trace when warmer palettes, cooler tones, or brighter highlights took over, revealing quick insights into the visual moods that defined different editorial eras.

Co-occurrence graph of sitemap keywords


This force-directed network links the most frequent sitemap keywords whenever they co-occur in the same headline or teaser. Hover on a node to preview its total occurrences; click to isolate its immediate neighbors and highlight the stories that mention both terms in the panel below the chart. Edges respond to the cursor as well: hovering reveals the exact article titles that connect the two concepts, while clicking pins those titles for later reading. Use the search bar to inject any additional word from the corpus—the new node appears in green, ready to be explored like the orange “top words.” If the screen becomes cluttered, press RESET to rebuild the layout and remove any custom additions. Together, these interactions offer a quick way to spot unexpected relationships, recurring themes, and the clusters of ideas that dominate different periods of Wired’s sitemap.

Radial Chart: Words/Categories

Each spoke in the radial chart is one of the top sitemap keywords, and the stacked colors show how many times that word appears inside stories from every section. Tall spokes mean the term is popular overall; the color mix reveals which desks (Business, Science, Culture, Gear, etc.) own the conversation. Hover a slice to read the exact word/category count, and use the legend to match colors with sections before jumping down to the heatmap for a temporal view.

Switch between “Words”, “Categories”, and “Authors” to repaint the heatmap and its paired timeline. Darker cells flag months where a topic, vocabulary cluster, or contributor spiked above usual levels; lighter cells reveal quieter stretches. Hover over a square to read the precise count, then click a timeline dot to load the stories that triggered that peak. In one glance you can spot editorial obsessions, see when new voices enter the conversation, and track how coverage priorities shift across the archive.