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Analyzing and Securing Social Networks
book

Analyzing and Securing Social Networks

by Bhavani Thuraisingham, Satyen Abrol, Raymond Heatherly, Murat Kantarcioglu, Vaibhav Khadilkar, Latifur Khan
April 2016
Intermediate to advanced
604 pages
25h 38m
English
Auerbach Publications
Content preview from Analyzing and Securing Social Networks
339Social Networking in the Cloud
with different names. For example, a user from Los Angeles can refer to the name of the city as LA,
L.A., or City of Los Angeles, etc. Users may also refer to different locations with the same name.
For example, a user from New York can refer to 6th Street as a street name in New York, whereas a
user from Austin may refer to the street with the same name in Austin. These examples can dilute
the spatial distribution of the terms.
The tweets do not always contain location-specic terms. They may contain many general words
from a natural language, as users tweet about general topics. Hence, the content of the tweets are
considered noisy.
A tweet can have terms referencing to multiple locations. This reduces the ...
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Publisher Resources

ISBN: 9781482243284