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Fig. 5.2 The features of our
PersonaRank are ( 1 ) a person
that is followed by many
people will be a valuable
person. ( 2 ) a person who is
followed by a valuable person
will also be a valuable person
1
ne T
G
¼ a
H
þða
a
þð
1
e
Þ
(5.2)
X
r
ð
P j Þ
r
ð
P i Þ¼
(5.3)
j
P j j
P j 2
F P i
1
H ij ¼
(5.4)
j
P j j
5.4.2.2 A Subjective Trust Evaluation Method from the Similarity
of the People
Trust is a subjective concept. Therefore, it is natural that the results of the evalua-
tion of trust are different according to the evaluator. For example, a person who
loves some special type of wine will feel they can trust another person who loves
similar types of wine.
We utilize the similarity between the evaluated and the evaluator person to
reinforce the evaluation of trust. We use collaborative filtering technology
(Goldberg et al. 1992 ) to calculate the similarity of the people. Collaborative
filtering technology is famously used in Amazon's recommendation system. Simi-
larity of behavior between Twitter users are defined as follows using the Pearson
correlation coefficient.
P
n
ð
x i
x
Þ
ð
y
y
Þ
r
P
r
P
p
ð
x
;
y
Þ¼
1
n
1 ð
n
2
2
x i x
Þ
ð
y i y
Þ
1
¼
ð þ 1
2
pP i ;P j
Dist P i ;
P j
1
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