Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Playing the role of weak clique property in link prediction: A friend
  recommendation model   An important fact in studying the link prediction is that the structural
properties of networks have significant impacts on the performance of
algorithms. Therefore, how to improve the performance of link prediction with
the aid of structural properties of networks is an essential problem. By
analyzing many real networks, we find a common structure property: nodes are
preferentially linked to the nodes with the weak clique structure (abbreviated
as PWCS to simplify descriptions). Based on this PWCS phenomenon, we propose a
local friend recommendation (FR) index to facilitate link prediction. Our
experiments show that the performance of FR index is generally better than some
famous local similarity indices, such as Common Neighbor (CN) index,
Adamic-Adar (AA) index and Resource Allocation (RA) index. We then explain why
PWCS can give rise to the better performance of FR index in link prediction.
Finally, a mixed friend recommendation index (labelled MFR) is proposed by
utilizing the PWCS phenomenon, which further improves the accuracy of link
prediction.

16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat