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George Peter Lyman (September 13, 1940 – July 2, 2007) was an American professor of information science who taught at the University of California, Berkeley School of Information, and was well known in U.S. academia for his research on online information and his leadership in remaking university library systems for the digital era.
The analysis highlights Technology and Science as prominent areas in the source structure around Peter Lyman.
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.
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.
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The extracted context around Peter Lyman shows recurring relationship patterns in the source. For example, Peter Lyman → AAU, Abstract, Academic Community, Academic Librarianship, Access, Action, Agenda, Alexa Internet, America, American, American Academy, American Archivist, American Behavioral Scientist, Anger, April, Archival Research, Archiving, Archiving Digital Cultural Artifacts, Arts, Aspen Institute Conference Another extracted example is Peter Lyman → Stanford University (B.A. 1962, Ph.D. 1973) University of California, Berkeley (M.A. 1963). Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
university information california digital berkeley lyman library vol also academic new research science school 1998 media technology peter american professor
TTTA extracted 197 structured relationships around Peter Lyman. Examples in this analysis include Peter Lyman → Alma mater → Stanford University (B.A. 1962, Ph.D. 1973) University of California, Berkeley (M.A. 1963) and Peter Lyman → Born → September 13, 1940 (1940-09-13) San Francisco, California US. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Peter Lyman | Alma mater | Stanford University (B.A. 1962, Ph.D. 1973) University of California, Berkeley (M.A. 1963) | 1.00 | infobox |
| Peter Lyman | Born | September 13, 1940 (1940-09-13) San Francisco, California US | 1.00 | infobox |
| Peter Lyman | Died | July 2, 2007(2007-07-02) (aged 66) Berkeley, California, US | 1.00 | infobox |
| Peter Lyman | Discipline | Library and information science | 1.00 | infobox |
| Peter Lyman | Institutions | Michigan State University University of Southern California UC Berkeley School of Library and Information Studies | 1.00 | infobox |
| Peter Lyman | Occupations | Librarian, Information science professor | 1.00 | infobox |
| Peter Lyman | Spouse | Barrie Thorne | 1.00 | infobox |
| Peter Lyman | Thesis | Marx's Use of Phenomenology in the Criticism of Politics, and as a Solution to the Problem of Ideology (1973) | 1.00 | infobox |
| Peter Lyman | related to Publications | Liberal Education | 0.60 | section |
| Peter Lyman | related to Publications | Cyberia | 0.60 | section |
| Peter Lyman | related to Publications | Education | 0.60 | section |
| Peter Lyman | related to Publications | Democracy | 0.60 | section |
The concept neighborhoods around Peter Lyman bring nearby vocabulary together. In this analysis, examples include Peter, Digital and Education. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Peter Lyman, one of the stronger structural bridges in this analysis connects Peter Lyman 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.
TTTA analyzes the structure around Peter Lyman to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Technology & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Peter Lyman · EN edition · Analysis: TopicsToTalkAbout