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This code allows you to identify significant ties in temporal networks at any level of statistical significance. If you have time-stamped data of interactions between nodes, all you need is: 1. Create a sequence of snapshots of networks (binary adjacency matrices) and store them in a cell array. 2. Provide a vector of significance levels.
{"references": ["Teruyoshi Kobayashi, Taro Takaguchi, Alain Barrat, \"The structured backbone of temporal social ties\", arXiv:1804.08828, Apr 2018."]}
Temporal networks, backboning, social networks
Temporal networks, backboning, social networks
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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