| 0:00:03 | hello my name is way been done i'm working at his mom for map yes |
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| 0:00:08 | this test is |
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| 0:00:09 | under the guidance a professor to being one and the winnie |
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| 0:00:13 | is small he's engineering score in the model from |
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| 0:00:18 | i'm glad to give a brief introduction of all work on sports truncation |
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| 0:00:24 | as these well known |
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| 0:00:25 | ranking is a kind of evaluation and the one additional information according to certain quite |
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| 0:00:32 | here |
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| 0:00:33 | you many khmer at the systems different plunking structures play a very important or in |
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| 0:00:39 | the formation function and evaluation of human society |
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| 0:00:43 | and the reflect or the complexity is may contain |
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| 0:00:48 | is that is to go physics |
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| 0:00:50 | how to understand the wrong indoors and the power lost in many cases these the |
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| 0:00:55 | around all the matter |
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| 0:00:57 | in this work we are interested in the ranking properties of support systems |
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| 0:01:03 | since the underlining dynamics of the drunk aims bosses terms is relatively simple |
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| 0:01:10 | competition to reach as high as long as possible |
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| 0:01:14 | hence the name of competition driven sisters |
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| 0:01:19 | we collected updater into our spot fear was totally forty data are samples |
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| 0:01:24 | which include tallies |
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| 0:01:27 | therefore |
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| 0:01:28 | table tallies and so on |
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| 0:01:30 | we first take actually at the cumulative distributions of scores or prize money what difference |
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| 0:01:36 | was systems |
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| 0:01:38 | which show or the distributions could be well for at the by the power law |
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| 0:01:42 | with exponential decay |
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| 0:01:45 | order to understand this common feature |
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| 0:01:48 | the proposed a model to simulates the competition process is both systems |
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| 0:01:54 | the competition is paralyse half of the play your side eliminated actually each wrong |
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| 0:02:00 | so the k mac please our aim of this model is to decide which player |
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| 0:02:06 | wins |
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| 0:02:07 | and record these the way in probability |
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| 0:02:11 | here where assume that such a probability depends only on the run differs it when |
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| 0:02:17 | the pair |
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| 0:02:18 | if the roundy phrase is larger than the chance for the higher ranked player to |
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| 0:02:23 | waste greater |
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| 0:02:25 | and this claim has been well supported by the empirical evidence |
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| 0:02:29 | from tallies |
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| 0:02:31 | presented on these three |
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| 0:02:32 | in the form an arrow in probability |
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| 0:02:35 | if the compare the instruments parameter is larger |
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| 0:02:38 | is more likely that the higher ground player wins |
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| 0:02:42 | where is the about mac please arms we can find that the cumulative distributions of |
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| 0:02:48 | scores from the simulation |
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| 0:02:50 | indeed to follow the power low with exponential decay |
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| 0:02:55 | we also checks the dependence of the probability distribution on different parameters |
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| 0:03:00 | such as a compact instruments parameter lumber turn omens and the number of players |
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| 0:03:07 | results show that our model for the year the power law with exponential decay if |
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| 0:03:12 | a large range of these parameters |
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| 0:03:16 | our come to read the paper for more teeth here's thank you |
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