How Random are Online Social Interactions?
The massive amounts of data that social media generates has facilitated the study of online human behavior on a scale unimaginable a few years ago. At the same time, the much discussed apparent randomness with which people interact online makes it appear as if these studies cannot reveal predictive...
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| Veröffentlicht in: | Scientific reports 2012-09, Vol.2 (1), p.633-633, Article 633 |
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| creator | Wang, Chunyan Huberman, Bernardo A. |
| description | The massive amounts of data that social media generates has facilitated the study of online human behavior on a scale unimaginable a few years ago. At the same time, the much discussed apparent randomness with which people interact online makes it appear as if these studies cannot reveal predictive social behaviors that could be used for developing better platforms and services. We use two large social databases to measure the mutual information entropy that both individual and group actions generate as they evolve over time. We show that user's interaction sequences have strong deterministic components, in contrast with existing assumptions and models. In addition, we show that individual interactions are more predictable when users act on their own rather than when attending group activities. |
| doi_str_mv | 10.1038/srep00633 |
| format | Article |
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At the same time, the much discussed apparent randomness with which people interact online makes it appear as if these studies cannot reveal predictive social behaviors that could be used for developing better platforms and services. We use two large social databases to measure the mutual information entropy that both individual and group actions generate as they evolve over time. We show that user's interaction sequences have strong deterministic components, in contrast with existing assumptions and models. 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| subjects | 639/705/531 639/766/25 639/766/259 639/766/530 Algorithms Applied physics Data Interpretation, Statistical Datasets Entropy Humanities and Social Sciences Humans Information Theory Internet Likelihood Functions Models, Biological multidisciplinary Nonlinear Dynamics Science Social Behavior Social interactions Social Media Social networks User behavior |
| title | How Random are Online Social Interactions? |
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