  Collectiveness motions of crowd systems have attracted a great deal of
attentions in recently years. In this paper, we try to measure the
collectiveness of a crowd system by the proposed node clique learning method.
The proposed method is a graph based method, and investigates the influence
from one node to other nodes. A node is represented by a set of nodes which
named a clique, which is obtained by spreading information from this node to
other nodes in graph. Then only nodes with sufficient information are selected
as the clique of this node. The motion coherence between two nodes is defined
by node cliques comparing. The collectiveness of a node and the collectiveness
of the crowd system are defined by the nodes coherence. Self-driven particle
(SDP) model and the crowd motion database are used to test the ability of the
proposed method in measuring collectiveness.
