Network motifs emerge from interconnections that favour stability
The microscopic principles organizing dynamic units in complex networks—from proteins to power generators—can be understood in terms of network ‘motifs’: small interconnection patterns that appear much more frequently in real networks than expected in random networks. When considered as small subgra...
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| Format: | Article |
| Language: | en_US |
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Nature Publishing Group
2017
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| Online Access: | http://hdl.handle.net/1721.1/109365 https://orcid.org/0000-0002-7161-7812 |
| _version_ | 1826216773922324480 |
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| author | Angulo, Marco Tulio Liu, Yang-Yu Slotine, Jean-Jacques E |
| author2 | Massachusetts Institute of Technology. Nonlinear Systems Laboratory |
| author_facet | Massachusetts Institute of Technology. Nonlinear Systems Laboratory Angulo, Marco Tulio Liu, Yang-Yu Slotine, Jean-Jacques E |
| author_sort | Angulo, Marco Tulio |
| collection | MIT |
| description | The microscopic principles organizing dynamic units in complex networks—from proteins to power generators—can be understood in terms of network ‘motifs’: small interconnection patterns that appear much more frequently in real networks than expected in random networks. When considered as small subgraphs isolated from a large network, these motifs are more robust to parameter variations, easier to synchronize than other possible subgraphs, and can provide specific functionalities. But one can isolate these subgraphs only by assuming, for example, a significant separation of timescales, and the origin of network motifs and their functionalities when embedded in larger networks remain unclear. Here we show that most motifs emerge from interconnection patterns that best exploit the intrinsic stability characteristics at different scales of interconnection, from simple nodes to whole modules. This functionality suggests an efficient mechanism to stably build complex systems by recursively interconnecting nodes and modules as motifs. We present direct evidence of this mechanism in several biological networks. |
| first_indexed | 2024-09-23T16:53:12Z |
| format | Article |
| id | mit-1721.1/109365 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:53:12Z |
| publishDate | 2017 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | mit-1721.1/1093652022-09-29T22:11:15Z Network motifs emerge from interconnections that favour stability Angulo, Marco Tulio Liu, Yang-Yu Slotine, Jean-Jacques E Massachusetts Institute of Technology. Nonlinear Systems Laboratory Slotine, Jean-Jacques E. Slotine, Jean-Jacques E The microscopic principles organizing dynamic units in complex networks—from proteins to power generators—can be understood in terms of network ‘motifs’: small interconnection patterns that appear much more frequently in real networks than expected in random networks. When considered as small subgraphs isolated from a large network, these motifs are more robust to parameter variations, easier to synchronize than other possible subgraphs, and can provide specific functionalities. But one can isolate these subgraphs only by assuming, for example, a significant separation of timescales, and the origin of network motifs and their functionalities when embedded in larger networks remain unclear. Here we show that most motifs emerge from interconnection patterns that best exploit the intrinsic stability characteristics at different scales of interconnection, from simple nodes to whole modules. This functionality suggests an efficient mechanism to stably build complex systems by recursively interconnecting nodes and modules as motifs. We present direct evidence of this mechanism in several biological networks. 2017-05-26T14:07:10Z 2017-05-26T14:07:10Z 2015-07 2014-11 Article http://purl.org/eprint/type/JournalArticle 1745-2473 1745-2481 http://hdl.handle.net/1721.1/109365 Angulo, Marco Tulio; Liu, Yang-Yu and Slotine, Jean-Jacques. “Network Motifs Emerge from Interconnections That Favour Stability.” Nature Physics 11, no. 10 (July 2015): 848–852 © 2015 Macmillan Publishers Limited, part of Springer Nature https://orcid.org/0000-0002-7161-7812 en_US http://dx.doi.org/10.1038/nphys3402 Nature Physics Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Nature Publishing Group Prof. Slotine via Angie Locknar |
| spellingShingle | Angulo, Marco Tulio Liu, Yang-Yu Slotine, Jean-Jacques E Network motifs emerge from interconnections that favour stability |
| title | Network motifs emerge from interconnections that favour stability |
| title_full | Network motifs emerge from interconnections that favour stability |
| title_fullStr | Network motifs emerge from interconnections that favour stability |
| title_full_unstemmed | Network motifs emerge from interconnections that favour stability |
| title_short | Network motifs emerge from interconnections that favour stability |
| title_sort | network motifs emerge from interconnections that favour stability |
| url | http://hdl.handle.net/1721.1/109365 https://orcid.org/0000-0002-7161-7812 |
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