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Isham [19] studied the final size distribution of rumors on general networks.
Apart from differences in epidemic models, our objective is to minimize the final size distribution of rumors spread and the negative social effects with rumor spreading in emergency event.
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Rumor Gauge: Predicting the Veracity of Rumors on Twitter.
That announcement kept him ahead of rumors.
Rumors, and confirmation of rumors reached them first.
According to this law, the amount of rumors in circulation is roughly equal to the importance of the rumor multiplied by the uncertainty surrounding the rumor.
This will reduce the likelihood of rumors and allay fears.
It was important for the trial team to be aware of rumors quickly so that the rumor could be addressed in a timely manner.
Monitoring activities and continuous communication could allow for detection of rumors and unequal uptake in the community.
Beware of rumors.
Nice distribution of seeds.
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