April 2016
Intermediate to advanced
604 pages
25h 38m
English
book
Analyzing and Securing Social Networks
by Bhavani Thuraisingham, Satyen Abrol, Raymond Heatherly, Murat Kantarcioglu, Vaibhav Khadilkar, Latifur Khan
Content preview from Analyzing and Securing Social Networks
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139Tweeque
Thus, at each step of the agglomeration, we choose the two concept clusters with maximum value
of the objective function Θ. If the score of the combined bag of concepts crosses the LCT, we return
the bag of concepts as the possible location vector and terminate.
To understand how agglomerative clustering basically works, consider a scenario in which the
location prediction algorithm returns an array of location concepts including (Los Angeles, 0.34),
(Long Beach, 0.05), (Irvine, 0.17), and many other concepts. Suppose the LCT for the algorithm to
return a cluster of concepts is 0.5. Then, if we simply combine location concepts on the ...
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