Structural Complexity of One-Dimensional Random Geometric Graphs
We study the richness of the ensemble of graphical structures (i.e., unlabeled graphs) of the one-dimensional random geometric graph model defined by n nodes randomly scattered in [0, 1] that connect if they are within the connection range r\in [{0,1}] . We provide bounds on the number of possibl...
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Veröffentlicht in: | IEEE transactions on information theory 2023-02, Vol.69 (2), p.794-812 |
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Sprache: | eng |
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Zusammenfassung: | We study the richness of the ensemble of graphical structures (i.e., unlabeled graphs) of the one-dimensional random geometric graph model defined by n nodes randomly scattered in [0, 1] that connect if they are within the connection range r\in [{0,1}] . We provide bounds on the number of possible structures which give universal upper bounds on the structural entropy that hold for any n , r and distribution of the node locations. For fixed r , the number of structures is \Theta (a^{2n}) with a=a(r)=2 \cos {\left ({\frac {\pi }{\lceil 1/r \rceil +2}}\right)} , and therefore the structural entropy is upper bounded by 2n\log _{2} a(r) + O(1) . For large n , we derive bounds on the structural entropy normalized by n , and evaluate them for independent and uniformly distributed node locations. When the connection range r_{n} is O(1/n) , the obtained upper bound is given in terms of a function that increases with n r_{n} and asymptotically attains 2 bits per node. If the connection range is bounded away from zero and one, the upper and lower bounds decrease linearly with r , as 2(1-r) and (1-r)\log _{2} e , respectively. When r_{n} is vanishing but dominates 1/n (e.g., |
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ISSN: | 0018-9448 1557-9654 |
DOI: | 10.1109/TIT.2022.3207819 |