TY - JOUR
T1 - Graphs that locally maximize clustering coefficient in the space of graphs with a fixed degree sequence
AU - Fukami, Tatsuya
AU - Takahashi, Norikazu
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2017/1/30
Y1 - 2017/1/30
N2 - This paper studies the problem of finding graphs that locally maximize the clustering coefficient in the space of graphs with a fixed degree sequence. Such a graph is characterized by the property that the clustering coefficient cannot be increased, no matter how a single 2-switch is applied. First, an explicit formula for the amount of change in the clustering coefficient of a graph caused by a single 2-switch is given. Next, some classes of graphs with the property stated above are presented. An example of such a graph is the one obtained from a tree by replacing its edges with cliques with the same order.
AB - This paper studies the problem of finding graphs that locally maximize the clustering coefficient in the space of graphs with a fixed degree sequence. Such a graph is characterized by the property that the clustering coefficient cannot be increased, no matter how a single 2-switch is applied. First, an explicit formula for the amount of change in the clustering coefficient of a graph caused by a single 2-switch is given. Next, some classes of graphs with the property stated above are presented. An example of such a graph is the one obtained from a tree by replacing its edges with cliques with the same order.
KW - 2-switch
KW - Clustering coefficient
KW - Complex network
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U2 - 10.1016/j.dam.2016.10.002
DO - 10.1016/j.dam.2016.10.002
M3 - Article
AN - SCOPUS:85001784669
VL - 217
SP - 525
EP - 535
JO - Discrete Applied Mathematics
JF - Discrete Applied Mathematics
SN - 0166-218X
ER -