登录
首页 » Python » influence-maximization-master

influence-maximization-master

于 2018-03-22 发布 文件大小:23157KB
0 194
下载积分: 1 下载次数: 26

代码说明:

  影响力最大化算法,python实现,包含多个算法(influence maximum,search several nodes to make the influence spreading maximum)

文件列表:

influence-maximization-master, 0 , 2018-03-15
influence-maximization-master\.gitignore, 35 , 2015-05-19
influence-maximization-master\IC, 0 , 2018-03-15
influence-maximization-master\IC\ArbitraryP, 0 , 2018-03-15
influence-maximization-master\IC\ArbitraryP\CCWP.py, 14030 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\DD.py, 6006 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\Graphs.py, 3983 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\Harvester.py, 5154 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\LP.m, 904 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\MPST.py, 54607 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\Models.py, 1323 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\PMIA.py, 11192 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\PossibleWorlds.py, 9796 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\calculateSpread.py, 1875 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\random_heuristic.py, 2764 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\reverseCCWP.py, 12678 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\reverseCCWPforIAC.py, 8534 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\reverseDD.py, 5155 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\reverseDegree.py, 4204 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\reversePMIA.py, 11312 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\reverseRDM.py, 4129 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\runCascade.py, 1935 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\runIAC.py, 10146 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\script.py, 11949 , 2015-05-19
influence-maximization-master\IC\ArbitraryP\visualisation.py, 25434 , 2015-05-19
influence-maximization-master\IC\CCHeuristic.py, 2889 , 2015-05-19
influence-maximization-master\IC\CCparallel.py, 2298 , 2015-05-19
influence-maximization-master\IC\IC.py, 2452 , 2015-05-19
influence-maximization-master\IC\README.md, 2817 , 2015-05-19
influence-maximization-master\IC\SCCHeuristic.py, 2751 , 2015-05-19
influence-maximization-master\IC\__init__.py, 23 , 2015-05-19
influence-maximization-master\IC\binaryDegreeDiscount.py, 2978 , 2015-05-19
influence-maximization-master\IC\bruteforce.py, 1584 , 2015-05-19
influence-maximization-master\IC\continiousSearch.py, 3793 , 2015-05-19
influence-maximization-master\IC\degreeDiscount.py, 3189 , 2015-05-19
influence-maximization-master\IC\degreeDiscountIC.txt, 247 , 2015-05-19
influence-maximization-master\IC\degreeHeuristic.py, 1459 , 2015-05-19
influence-maximization-master\IC\generalGreedy.py, 1275 , 2015-05-19
influence-maximization-master\IC\generateGraph.py, 701 , 2015-05-19
influence-maximization-master\IC\lemma1.py, 1727 , 2015-05-19
influence-maximization-master\IC\lemma1.txt, 149 , 2015-05-19
influence-maximization-master\IC\newGreedyIC.py, 6222 , 2015-05-19
influence-maximization-master\IC\plotVersusR.py, 1306 , 2015-05-19
influence-maximization-master\IC\plotVersusk.py, 3170 , 2015-05-19
influence-maximization-master\IC\randomHeuristic.py, 596 , 2015-05-19
influence-maximization-master\IC\representativeNodes.py, 3421 , 2015-05-19
influence-maximization-master\IC\reverseCCWP.py, 4367 , 2015-05-19
influence-maximization-master\IC\reverseCCWPparallel.py, 9666 , 2015-05-19
influence-maximization-master\IC\singleDiscount.py, 1065 , 2015-05-19
influence-maximization-master\IC\spreadDegreeDiscount.py, 2930 , 2015-05-19
influence-maximization-master\IC\spreadNewGreedyIC.py, 4260 , 2015-05-19
influence-maximization-master\IC\stopDegreeDiscount.py, 3013 , 2015-05-19
influence-maximization-master\IC\test.py, 1548 , 2015-05-19
influence-maximization-master\IC\test_in_parallel.py, 1782 , 2015-05-19
influence-maximization-master\IC\visualisation.py, 4590 , 2015-05-19
influence-maximization-master\IC\visualisation.txt, 49 , 2015-05-19
influence-maximization-master\LT, 0 , 2018-03-15
influence-maximization-master\LT\LDAG.py, 9635 , 2015-05-19
influence-maximization-master\LT\LT.py, 3639 , 2015-05-19
influence-maximization-master\LT\__init__.py, 23 , 2015-05-19
influence-maximization-master\LT\greedy.py, 509 , 2015-05-19
influence-maximization-master\LT\resultsLDAG.txt, 250 , 2015-05-19
influence-maximization-master\LT\test.py, 1203 , 2015-05-19
influence-maximization-master\LT\test_LDAG.py, 504 , 2015-05-19
influence-maximization-master\graphdata, 0 , 2018-03-15
influence-maximization-master\graphdata\Amazon0302.txt, 17243811 , 2015-05-19
influence-maximization-master\graphdata\README.md, 1031 , 2015-05-19
influence-maximization-master\graphdata\ama.txt, 17243915 , 2015-05-19
influence-maximization-master\graphdata\epi.txt, 5663227 , 2015-05-19
influence-maximization-master\graphdata\graph30.txt, 765 , 2015-05-19
influence-maximization-master\graphdata\hep.txt, 632592 , 2015-05-19
influence-maximization-master\graphdata\phy.txt, 2863717 , 2015-05-19
influence-maximization-master\graphdata\soc-Epinions1.txt, 5663083 , 2015-05-19
influence-maximization-master\graphs, 0 , 2018-03-15
influence-maximization-master\graphs\Ufb.gpickle, 1994443 , 2015-05-19
influence-maximization-master\graphs\Ugnu09.gpickle, 686732 , 2015-05-19
influence-maximization-master\graphs\Uhep.gpickle, 909315 , 2015-05-19
influence-maximization-master\graphs\epi.gpickle, 19762934 , 2015-05-19
influence-maximization-master\graphs\fb.gpickle, 3974386 , 2015-05-19
influence-maximization-master\graphs\gnu09.gpickle, 1342554 , 2015-05-19
influence-maximization-master\graphs\hep.gpickle, 1759152 , 2015-05-19
influence-maximization-master\priorityQueue.py, 1681 , 2018-03-15

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • 实验三
    均值滤波与中值滤波对添加的高斯噪声的图像去噪(Mean Filtering and Median Filtering Image Denoising)
    2018-04-11 09:01:48下载
    积分:1
  • AIPolicy Deluxe v0.1.8.2
    Jade Dynasty AIPolicy editor
    2018-10-27 22:06:49下载
    积分:1
  • Flash中国地图 包括所有省会城市
    Flash中国地图 包括所有省会城市,带地图热点信息,鼠标放上去,对应省份会高亮显示,自带的Fla源代码为熟悉Flash技术的朋友,提供一份修改完善的范本,相信这个Flash版中国城市地图会帮上你的忙。
    2023-08-08 13:35:03下载
    积分:1
  • 201102180189
    运筹学是现代管理学的一门重要专业基础课。它是20世纪30年代初发展起来的一门新兴学科,其主要目的是在决策时为管理人员提供科学依据,是实现有效管理、正确决策和现代化管理的重要方法之一。该学科是一应用数学和形式科学的跨领域研究,利用统计学、数学模型和算法等方法,去寻找复杂问题中的最佳或近似最佳的解答。运筹学经常用于解决现实生活中的复杂问题,特别是改善或优化现有系统的效率。 研究运筹学的基础知识包括实分析、矩阵论、随机过程、离散数学和算法基础等。而在应用方面,多与仓储、物流、算法等领域相关。因此运筹学与应用数学、工业工程、计算机科学、经济管理等专业密切相关。( Operations research is an important basic course of modern management. It is the beginning of the 1930s developed a new discipline, its main purpose is to provide management decision-making scientific basis, it is to achieve effective management, one of the important decisions the right way and modern management. The interdisciplinary research discipline is a form of applied mathematics and science, using statistical, mathematical models and algorithms and other methods to find the complex issues in the best or near-best solution. Operations research is often used to solve complex problems in real life, especially to improve or optimize the efficiency of existing systems. Basics of operations research include real analysis, matrix theory, stochastic processes, discrete mathematics and algorithms base and the like. In the application, more associated with warehousing, logistics, algorithms and other fields. Therefore, operations research is closely related to applied mathematics, indu)
    2015-09-24 22:49:14下载
    积分:1
  • K061 蚁群栅格
    说明:  蚁群算法路劲规划,二维平面,三个独立的程序,方面修改程序(Basic ant colony algorithm for road stiffness planning, based on two-dimensional plane grid method modeling)
    2020-12-26 16:43:56下载
    积分:1
  • c# 编写的俄罗斯方块游戏, 有音效和音乐(不过在有的机器上播放 mid 会出错...), 同时实现了 GDI+ 和 DDraw 两套呈现引擎. debug/r...
    c# 编写的俄罗斯方块游戏, 有音效和音乐(不过在有的机器上播放 mid 会出错...), 同时实现了 GDI+ 和 DDraw 两套呈现引擎. debug/release 目录中包含了运行时所需的资源.-c# prepared by the Russian box game. a sound and music (though in some machines will be broadcast mid mistake ...), while achieving the GDI and DDraw has two engines. debug/release contains a directory Runtime the necessary resources.
    2022-02-20 09:58:54下载
    积分:1
  • S-57
    S57国际标准规范,开发电子海图必备的资料(S57 International standards, develop the information necessary for electronic chart)
    2020-12-04 09:09:23下载
    积分:1
  • 新闻门户
    智能企业建站系统,该系统能让用户在短时间内迅速架设属于自己公司的企业网站。建站系统易学易懂(Intelligent Enterprise Station Building System, which enables users to quickly set up their own company website in a short time. Station building system is easy to learn and understand)
    2020-06-22 09:20:02下载
    积分:1
  • 实验12 OLED显示实验
    说明:  讲述了如何构建OLED的程序框架,编写程序的大致思路。(This paper describes how to build the OLED program framework and how to write the program.)
    2019-05-27 09:49:20下载
    积分:1
  • nulNewton
    这是一个用matlab编写的牛顿法源代码,比较简单的无约束方程。牛顿法是求非线性方程(组)零点的一种重要的迭代法,又称牛顿-拉弗森法或切线法。(This is a Newton method source code written in matlab, a relatively simple unconstrained equation. Newton method is an important iteration method for finding zeros of non-linear equations, also known as Newton-Lafferson method or tangent method.)
    2020-06-25 08:40:02下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载