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Three parameters are crucial in determining the statistics of random tree networks, first, the branching probability, second the maximum number of allowed progenies at each branching point, and third the maximum number of generations, that a tree can attain. There are a lot of studies that address
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Kromer, J.; Khaledi-Nasab, A; Schimansky-Geier, L.; Neiman, A.B (2017). "Emergent stochastic oscillations and signal detection in tree networks of excitable elements".
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that can help in analyzing the networks. These tools could be used to study the tree networks as well.
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Khaledi-Nasab, Ali; Kromer, Justus A.; Schimansky-Geier, Lutz; Neiman, Alexander B. (2018-11-12).
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A regular tree network's topology is characterized by two parameters: the branching,
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the large tree networks, however small tree networks are seldom studied.
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Understanding
Computer Science (for Advanced Level): The Study Guide
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249:{\displaystyle N={\frac {d^{G+1}-1}{d-1}},\quad N_{p}=d^{G}}
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A group at MIT has developed a set of functions for
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157:{\displaystyle N_{p}}
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454:1808.02750
413:1701.01693
384:2016-03-26
341:2016-03-26
297:References
585:Hypertree
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211:−
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57:in which
580:Fat tree
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275:Matlab
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