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Fig. 4.7
The derived influence network for two test users on
a
Topic #2 and
b
Topic #13. Reference
[
26
]
c
2012 Association for Computing Machinery, Inc. Reprinted by permission
Fig. 4.8
Topic-sensitive influencer mining case study. Reference [
27
] c
2013 Association for
Computing Machinery, Inc. Reprinted by permission
impact them most on the two topics in Fig.
4.8
. We show the node topic distribution
by lengthy color bars, which indicate users' interest proportion on the corresponding
topics. Since users explicitly express their preferences by adding
Favorite
marks to
images, the exemplary favorite images are displayed below the two test users for
user preference illustration. For each influencer, we provide the number of their fol-
lowers, five exemplary images from their uploaded image set and the tag clouds.
While #follower indicates the general influence strength, the uploaded images and
annotations offer knowledge about the influencers' topic-related expertise.
