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James Gleick: Works, Art, Technology & Science
James Gleick (/ɡlɪk/; born August 1, 1954) is an American author and historian of science whose work has chronicled the cultural impact of modern technology. Recognized for his writing about complex subjects through the techniques of narrative nonfiction, he has been called "one of the great science writers of all time". He is part of the inspiration for…
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James Gleick topic overview
The analysis highlights Works, Art, Technology and Science as prominent areas in the source structure around James Gleick.
Related topics
55
Source areas
2
Connected nodes
72
Extracted relationships
102
Concept neighborhoods
19
Bridge connections
72
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Life · 47 topics
Overview · 8 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Occupation
Writer
Alma mater
Harvard University
Born
(1954-08-01) August 1, 1954 (age 72) New York City
Notable works
Chaos (1987) Genius (1992) The Information (2011)
Relatives
Peter Gleick, brother
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How James Gleick connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around James Gleick shows recurring relationship patterns in the source. For example, James Gleick → Adamson, Adds, Agency, AI, Alex Hanna, Amateurs, An, Artificial, Bender, Bloomsbury, Books, Century, Cory Doctorow, Create, Culture, December, Do About It, Emily, Enshittification, Everyone Another extracted example is James Gleick → Appearances, April, Audio, Books, Boston Phoenix, C-SPANTime Travel, Christopher Lydon, Egypt, Gleick, Identity Theory, Janna Levin, Key West Literary Seminar, Leave Cyberspace, Mastodon, Meet, Miracle Made Lyrical, Official, Peter Kadzis, Robert Birnbaum, Science. Use these groups to spot repeated connection types before inspecting the individual relationships.
James Gleick
Top relations
related to Articles· 73
James Gleick → Adamson, Adds, Agency, AI, Alex Hanna, Amateurs, An, Artificial, Bender, Bloomsbury, Books, Century, Cory Doctorow, Create, Culture, December, Do About It, Emily, Enshittification, Everyone
related to External links· 23
James Gleick → Appearances, April, Audio, Books, Boston Phoenix, C-SPANTime Travel, Christopher Lydon, Egypt, Gleick, Identity Theory, Janna Levin, Key West Literary Seminar, Leave Cyberspace, Mastodon, Meet, Miracle Made Lyrical, Official, Peter Kadzis, Robert Birnbaum, Science
Alma mater· 1
James Gleick → Harvard University
Born· 1
James Gleick → (1954-08-01) August 1, 1954 (age 72) New York City
Notable works· 1
James Gleick → Chaos (1987) Genius (1992) The Information (2011)
Occupation· 1
James Gleick → Writer
Relatives· 1
James Gleick → Peter Gleick, brother
Website· 1
James Gleick → around.com
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
James Gleick relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 102 structured relationships around James Gleick. Examples in this analysis include James Gleick → Alma mater → Harvard University and James Gleick → Born → (1954-08-01) August 1, 1954 (age 72) New York City. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
James Gleick
Alma mater
Harvard University
1.00
infobox
James Gleick
Born
(1954-08-01) August 1, 1954 (age 72) New York City
1.00
infobox
James Gleick
Notable works
Chaos (1987) Genius (1992) The Information (2011)
1.00
infobox
James Gleick
Occupation
Writer
1.00
infobox
James Gleick
Relatives
Peter Gleick, brother
1.00
infobox
James Gleick
Website
around.com
1.00
infobox
James Gleick
related to Articles
The Fate
0.60
section
James Gleick
related to Articles
Free Will
0.60
section
James Gleick
related to Articles
Kevin
0.60
section
James Gleick
related to Articles
Mitchell
0.60
section
James Gleick
related to Articles
Free Agents
0.60
section
James Gleick
related to Articles
How Evolution Gave Us
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around James Gleick bring nearby vocabulary together. In this analysis, examples include James, Review and Pipeline. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
James Gleick
James
Review
Pipeline
New
Pp
Vol
York
Books
Author
Born
Internet
Impact
james gleick
James
Review
New
Pipeline
York
Pp
Vol
Books
Author
Born
Impact
Internet
royal society winton prize for science books
York
New
Review
Vol
Writing
Information
Pp
First
Chaos
Editor
Books
Science
new york city
New
York
Books
Review
Vol
Times
Internet
Pp
Gleick
James
University
Pipeline
the new york times
New
York
Books
Review
Vol
Times
Internet
Pp
Gleick
James
University
Pipeline
new york times magazine
New
York
Books
Review
Vol
Times
Internet
Pp
Gleick
James
University
Pipeline
the new york review of books
New
York
Vol
Books
Review
Pp
Times
Information
Internet
Gleick
Science
Award
the best american science writing
Author
Born
Impact
Writing
First
Science
Work
Chaos
Editor
Books
Award
Prize
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For James Gleick, one of the stronger structural bridges in this analysis connects James Gleick with Life. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
James Gleick
Nodes73
Edges72
Triples102
Avg. degree1.97
Density0.027397
Components1
Source & methodology
TTTA analyzes the structure around James Gleick to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Art, Technology & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
