Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Agent-based Simulation of Human Movement Shaped by the Underlying Street
  Structure   Relying on random and purposive moving agents, we simulated human movement in
large street networks. We found that aggregate flow, assigned to individual
streets, is mainly shaped by the underlying street structure, and that human
moving behavior (either random or purposive) has little effect on the aggregate
flow. This finding implies that given a street network, the movement patterns
generated by purposive walkers (mostly human beings) and by random walkers are
the same. Based on the simulation and correlation analysis, we further found
that the closeness centrality is not a good indicator for human movement, in
contrast to a long standing view held by space syntax researchers. Instead we
suggest that Google's PageRank, and its modified version - weighted PageRank,
betweenness and degree centralities are all better indicators for predicting
aggregate flow.

34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
1
The categories of this paper are: cs
26
The categories of this paper are: bayes-an
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ