Discovering motifs in real-world social networks
| Authors |
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| Publication date | 2015 |
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| Book title | SOFSEM 2015: Theory and Practice of Computer Science |
| Book subtitle | 41th International Conference on Current Trends in Theory and Practice of Computer Science, Pec pod Sněžkou, Czech Republic, January 24-29, 2015: proceedings |
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| ISBN (electronic) |
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| Series | Lecture Notes in Computer Science |
| Event | SOFSEM 2015 |
| Pages (from-to) | 463-474 |
| Publisher | Heidelberg: Springer |
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| Abstract | We built a framework for analyzing the contents of large social networks, based on the approximate counting technique developed by Gonen and Shavitt. Our toolbox was used on data from a large forum—boards.ie—the most prominent community website in Ireland. For the purpose of this experiment, we were granted access to 10 years of forum data. This is the first time the approximate counting technique is tested on real-world, social network data. |
| Document type | Conference contribution |
| Language | English |
| Published at |
https://doi.org/10.1007/978-3-662-46078-8_38
(Final published version)
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