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                  <mods:namePart>Lugosi, Gábor</mods:namePart>
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                  <mods:namePart>Pereira, Alan S.</mods:namePart>
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                  <mods:dateIssued encoding="iso8601">2020-05-28T08:42:46Z2020-05-28T08:42:46Z2019</mods:dateIssued>
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               <mods:abstract>A uniform attachment tree is a random tree that is generated dynamically. Starting from a fixed “seed” tree, vertices are added sequentially by attaching each vertex to an existing vertex chosen uniformly at random. Upon observing a large (unlabeled) tree, one wishes to find the initial seed. We investigate to what extent seed trees can be recovered, at least partially. We consider three types of seeds: a path, a star, and a random uniform attachment tree. We propose and analyze seed-finding algorithms for all three types of seed trees.Gábor Lugosi was supported by the Spanish Ministry of Economy and Competitiveness, Grant MTM2015-67304-P and FEDER, EU.</mods:abstract>
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                  <mods:topic>Random trees</mods:topic>
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               <mods:subject>
                  <mods:topic>Uniform attachment</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Discrete probability</mods:topic>
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               <mods:subject>
                  <mods:topic>Seed</mods:topic>
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                  <mods:title>Finding the seed of uniform attachment trees</mods:title>
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