Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Opinion Maximization in Social Trust Networks   Social media sites are now becoming very important platforms for product
promotion or marketing campaigns. Therefore, there is broad interest in
determining ways to guide a site to react more positively to a product with a
limited budget. However, the practical significance of the existing studies on
this subject is limited for two reasons. First, most studies have investigated
the issue in oversimplified networks in which several important network
characteristics are ignored. Second, the opinions of individuals are modeled as
bipartite states(e.g., support or not) in numerous studies, however, this
setting is too strict for many real scenarios. In this study, we focus on
social trust networks(STNs), which have the significant characteristics ignored
in the previous studies. We generalized a famed continuous-valued opinion
dynamics model for STNs, which is more consistent with real scenarios. We
subsequently formalized two novel problems for solving the issue in STNs.
Moreover, we developed two matrix-based methods for these two problems and
experiments on real-world datasets to demonstrate the practical utility of our
methods.

19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin