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Secure_DisOpt&Cont / Top-k influence node acquisition in a complex network model

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Top-k influence node acquisition in a complex network model

介绍 introduction

Find top-k influence nodes based on hybrid algorithms and improved k-shell decomposition algorithm

本方法是基于k-shell方法提出的一种在分解过程中使用了迭代信息的多属性k-shell方法。该方法首先结合了sigmod函数和迭代信息来得到位置指数,之后再次结合位置指数和k-shell中的shell值得到位置属性(position attribute)。其次,通过节点的局部信息得到邻居属性(neighbor property)。最后,使用信息熵加权法给位置属性以及邻居属性进行加权。

MIT License Copyright (c) 2023 zhessiah Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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