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Temporal dynamics and impact of event interactions in cyber-social populations
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10.1063/1.4793540
/content/aip/journal/chaos/23/1/10.1063/1.4793540
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/1/10.1063/1.4793540
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

The illustration of event interactions and transmission graph. (a)WiFi access logs as the proxy of the users' behavioral trajectories. The bold lines pertain to their online durations. (b) Each bold line possesses an exclusive time interval, where the corresponding individuals are assembled into a contact clique. (c) The transmission graph gives a reduced picture of the event interactions, where the vertices are EIs, and the edges between two EIs are the transmission paths defined by the three rules. (d) The aggregated transmission graph is derived from the transmission graph in (c), where no multiple edges are allowed.

Image of FIG. 2.
FIG. 2.

Dynamics of the EIs. (a) The probability distribution of all EIs' active durations . (b) The size distribution of event interactions. (c) The probability distributions of the EIs' active durations with the given size s = 2, 3, 4, 5, respectively. (d) The probability distributions of the EIs' active durations with the given size s = 5, 6,…, 11, respectively. The red bold line represents the distribution with s = 5. The inset shows the relation between the size s and the exponent of exponential cutoff β.

Image of FIG. 3.
FIG. 3.

Dynamics of the transmission durations. (a) The probability distribution of all transmission durations δ. (b) The probability distribution of integral days spent by transmission duration (days). (c) The probability distributions of transmission durations “filtered” by the natural de-seasoning method (gray circle) and the artificial de-seasoning time-shuffled method (red square).

Image of FIG. 4.
FIG. 4.

Outliers: temporal performance of low-degree individuals in the static contact network produced by “FudanWiFi09.” (a) A small sample of the aggregated transmission graph produced by “FudanWiFi09” consists of several hubs (big-size vertices) that individuals involved in. (b) The degrees versus their ranks of all individuals in the aggregated transmission graph (every circle represents the individuals with the same degree) produced by “FudanWiFi09.” The individuals involved in the hubs are indicated as the red circles. (c) The degrees versus their ranks of all individuals in the static contact network from the same social population. The individuals involved in the hubs of the corresponding aggregated transmission graph are shown by the red circles.

Image of FIG. 5.
FIG. 5.

The degrees versus their ranks of all vertices in the static contact networks produced by (a) “HT09” and (b) “SGInfectious.” The vertices whose temporal degrees rank in the corresponding ATG within the top 10 are indicated as the red circles (the vertices are the users wearing RFID badges).

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/content/aip/journal/chaos/23/1/10.1063/1.4793540
2013-02-26
2014-04-19
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Temporal dynamics and impact of event interactions in cyber-social populations
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/1/10.1063/1.4793540
10.1063/1.4793540
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