From 55a36fbc204da1e233caedcc5a18f79a31743c56 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=BC=A0=E5=B8=86?= <1007105760@qq.com>
Date: Tue, 9 May 2023 08:52:18 +0000
Subject: [PATCH] =?UTF-8?q?update=20README.md.=20=E6=9B=B4=E6=96=B0readme?=
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Signed-off-by: 张帆 <1007105760@qq.com>
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-# Top-k influence node acquisition in a complex network model
+# Top-k influence node acquisition in a complex network model.
 
 ##### 介绍
-Find top-k influence nodes based on hybrid algorithms and improved k-shell decomposition algorithm
+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。
 
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