Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Discovery of Important Crossroads in Road Network using Massive Taxi
  Trajectories   A major problem in road network analysis is discovery of important
crossroads, which can provide useful information for transport planning.
However, none of existing approaches addresses the problem of identifying
network-wide important crossroads in real road network. In this paper, we
propose a novel data-driven based approach named CRRank to rank important
crossroads. Our key innovation is that we model the trip network reflecting
real travel demands with a tripartite graph, instead of solely analysis on the
topology of road network. To compute the importance scores of crossroads
accurately, we propose a HITS-like ranking algorithm, in which a procedure of
score propagation on our tripartite graph is performed. We conduct experiments
on CRRank using a real-world dataset of taxi trajectories. Experiments verify
the utility of CRRank.

25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
16
The categories of this paper are: stat
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci