The influence of collaboration networks on programming language acquisition
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2018
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Online Access: | http://hdl.handle.net/1721.1/119085 |
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author | Guruprasad, Sanjay |
author2 | César Hidalgo. |
author_facet | César Hidalgo. Guruprasad, Sanjay |
author_sort | Guruprasad, Sanjay |
collection | MIT |
description | Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018. |
first_indexed | 2024-09-23T16:49:59Z |
format | Thesis |
id | mit-1721.1/119085 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T16:49:59Z |
publishDate | 2018 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1190852019-04-12T22:57:24Z The influence of collaboration networks on programming language acquisition Guruprasad, Sanjay César Hidalgo. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences () Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 26-28). Many behaviors spread through social contact. However, different behaviors seem to require different degrees of social reinforcement to spread within a network. Some behaviors spread via simple contagion, where a single contact with an "activated node" is sufficient for transmission, while others require complex contagion, with reinforcement from multiple nodes to adopt the behavior. But why do some behaviors require more social reinforcement to spread than others? Here we hypothesize that learning more difficult behaviors requires more social reinforcement. We test this hypothesis by analyzing the programming language adoption of hundreds of thousands of programmers on the social coding platform Github. We show that adopting more difficult programming languages requires more reinforcement from the collaboration network. This research sheds light on the role of collaboration networks in programming language acquisition. by Sanjay Guruprasad. S.M. 2018-11-15T16:35:55Z 2018-11-15T16:35:55Z 2018 2018 Thesis http://hdl.handle.net/1721.1/119085 1057897623 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 28 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Program in Media Arts and Sciences () Guruprasad, Sanjay The influence of collaboration networks on programming language acquisition |
title | The influence of collaboration networks on programming language acquisition |
title_full | The influence of collaboration networks on programming language acquisition |
title_fullStr | The influence of collaboration networks on programming language acquisition |
title_full_unstemmed | The influence of collaboration networks on programming language acquisition |
title_short | The influence of collaboration networks on programming language acquisition |
title_sort | influence of collaboration networks on programming language acquisition |
topic | Program in Media Arts and Sciences () |
url | http://hdl.handle.net/1721.1/119085 |
work_keys_str_mv | AT guruprasadsanjay theinfluenceofcollaborationnetworksonprogramminglanguageacquisition AT guruprasadsanjay influenceofcollaborationnetworksonprogramminglanguageacquisition |