HDU3849-By Recognizing These Guys, We Find Social Networks Useful(无向图的桥)
By Recognizing These Guys, We Find Social Networks Useful
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 125536/65536 K (Java/Others)
Total Submission(s): 3840 Accepted Submission(s): 987
But how?
By what method can we know the infomation we wanna?In some websites,maybe Renren,based on social network,we mostly get the infomation by some relations with those "popular leaders".It seems that they know every lately news and are always online.They are alway publishing breaking news and by our relations with them we are informed of "almost everything".
(Aha,"almost everything",what an impulsive society!)
Now,it's time to know what our problem is.We want to know which are the key relations make us related with other ones in the social network.
Well,what is the so-called key relation?
It means if the relation is cancelled or does not exist anymore,we will permanently lose the relations with some guys in the social network.Apparently,we don't wanna lose relations with those guys.We must know which are these key relations so that we can maintain these relations better.
We will give you a relation description map and you should find the key relations in it.
We all know that the relation bewteen two guys is mutual,because this relation description map doesn't describe the relations in twitter or google+.For example,in the situation of this problem,if I know you,you know me,too.
In the first line,an integer t,represents the number of cases(t <= 5).
In the second line,an integer n,represents the number of guys(1 <= n <= 10000) and an integer m,represents the number of relations between those guys(0 <= m <= 100000).
From the second to the (m + 1)the line,in each line,there are two strings A and B(1 <= length[a],length[b] <= 15,assuming that only lowercase letters exist).
We guanrantee that in the relation description map,no one has relations with himself(herself),and there won't be identical relations(namely,if "aaa bbb" has already exists in one line,in the following lines,there won't be any more "aaa bbb" or "bbb aaa").
We won't guarantee that all these guys have relations with each other(no matter directly or indirectly),so of course,maybe there are no key relations in the relation description map.
From the second line to the (n + 1)th line,output these key relations according to the order and format of the input.
题解:这是简单的无向图的桥的题,这一题需要注意的是要求如果有桥,则需要按输入的顺序输出;我门客为其打上标记,记录其输入位次,因为为字符串,我用了两个map存储他们;
代码为:
#include<bits/stdc++.h>
using namespace std;
const int maxn = 1e5 + ;
struct Node {
int x, y, id, id1, id2;
bool operator < (const Node c) const
{
return id<c.id;
}
} node[maxn << ];
struct Node2 {
int y, id, id1, id2;
};
vector<Node2> ve[maxn];
map<string, int> ma;
map<int, string> mb;
int low[maxn], dfn[maxn], visited[maxn];
int n, m, dfn_clock;
int nu; void init()
{
for (int i = ; i <= n; i++) ve[i].clear();
ma.clear(); mb.clear();
memset(dfn, -, sizeof dfn);
memset(visited, , sizeof visited);
} void dfs(int u, int fa)
{
Node p; Node2 q;
low[u] = dfn[u] = dfn_clock++;
visited[u] = ;
for (int i = ; i<ve[u].size(); i++)
{
q = ve[u][i];
if (q.y == fa) continue;
if (!visited[q.y])
{
dfs(q.y, u);
low[u] = min(low[u], low[q.y]);
if (low[q.y]>dfn[u])
{
p.x = u; p.y = q.y; p.id = q.id;
p.id1 = q.id1; p.id2 = q.id2;
node[nu++] = p;
}
}
else low[u] = min(low[u], dfn[q.y]);
}
} main()
{
int t, i, k, id;
string s1, s2;
Node2 p;
cin >> t;
while (t--)
{
cin >> n >> m;
init(); k = ; id = ;
while (m--)
{
cin >> s1 >> s2;
if (ma[s1] == ) ma[s1] = k, mb[k] = s1, ++k;
if (ma[s2] == ) ma[s2] = k, mb[k] = s2, ++k;
int x = ma[s1], y = ma[s2];
p.y = ma[s2]; p.id = id++; p.id1 = ; p.id2 = ;
ve[x].push_back(p);
p.y = ma[s1]; p.id = id++; p.id1 = ; p.id2 = ;
ve[y].push_back(p);
} dfn_clock = nu = ;
dfs(, -);
int f = ;
for (i = ; i <= n; i++)
{
if (dfn[i] == -) break;
}
if (i <= n)
{
cout << << endl;
continue;
}
sort(node, node + nu);
cout << nu << endl;
for (i = ; i<nu; i++)
{
if (node[i].id1<node[i].id2)
cout << mb[node[i].x] << " " << mb[node[i].y] << endl;
else cout << mb[node[i].y] << " " << mb[node[i].x] << endl;
}
}
}
HDU3849-By Recognizing These Guys, We Find Social Networks Useful(无向图的桥)的更多相关文章
- hdoj 3849 By Recognizing These Guys, We Find Social Networks Useful【双连通分量求桥&&输出桥&&字符串处理】
By Recognizing These Guys, We Find Social Networks Useful Time Limit: 2000/1000 MS (Java/Others) ...
- hdu3849-By Recognizing These Guys, We Find Social Networks Useful:双连通分量
By Recognizing These Guys, We Find Social Networks Useful Time Limit: 2000/1000 MS (Java/Others) ...
- HDU 3849 By Recognizing These Guys, We Find Social Networks Useful(双连通)
HDU 3849 By Recognizing These Guys, We Find Social Networks Useful pid=3849" target="_blan ...
- HDU 3849 By Recognizing These Guys, We Find Social Networks Useful
By Recognizing These Guys, We Find Social Networks Useful Time Limit: 1000ms Memory Limit: 65536KB T ...
- Social networks and health: Communicable but not infectious
Harvard Men’s Health Watch Poet and pastor John Donne famously proclaimed “No man is an island.” It ...
- 【论文笔记】Social Role-Aware Emotion Contagion in Image Social Networks
Social Role-Aware Emotion Contagion in Image Social Networks 社会角色意识情绪在形象社交网络中的传染 1.摘要: 心理学理论认为,情绪代表了 ...
- 《Predict Anchor Links across Social Networks via an Embedding Approach》阅读笔记
基本信息 文献:Predict Anchor Links across Social Networks via an Embedding Approach 时间:2016 期刊:IJCAI 引言 预测 ...
- 谣言检测(RDCL)——《Towards Robust False Information Detection on Social Networks with Contrastive Learning》
论文信息 论文标题:Towards Robust False Information Detection on Social Networks with Contrastive Learning论文作 ...
- Deep learning-based personality recognition from text posts of online social networks 阅读笔记
文章目录 一.摘要 二.模型过程 1.文本预处理 1.1 文本切分 1.2 文本统一 2. 基于统计的特征提取 2.1 提取特殊的语言统计特征 2.2 提取基于字典的语言特征 3. 基于深度学习的文本 ...
随机推荐
- spring 是如何注入对象的和bean 创建过程分析
文章目录: beanFactory 及 bean 生命周期起步 BeanFactory refresh 全过程 BeanFactoryPostProcessor 和 BeanPostProcessor ...
- Java设计模式之单利模式(Singleton)
单利模式的应用场景: 单利模式(Singleton Pattern)是指确保一个类在任何情况下都绝对只有一个实例.并提供一个全局反访问点.单利模式是创建型模式.单利模式在生活中应用也很广泛,比如公司C ...
- NioEventLoop的创建
NioEventLoop的创建 NioEventLoop是netty及其重要的组成部件,它的首要职责就是为注册在它上的channels服务,发现这些channels上发生的新连接.读写等I/O事件,然 ...
- Kubernetes概述
1. Kubernetes是什么 Kubernetes是一个可移植的.可扩展的.用于管理容器化工作负载和服务的开源平台,它简化(促进)了声明式配置和自动化.它有一个庞大的.快速增长的生态系统.Kube ...
- diff算法
diff算法的作用计算出Virtual DOM中真正变化的部分,并只针对该部分进行原生DOM操作,而非重新渲染整个页面. 传统diff算法 通过循环递归对节点进行依次对比,算法复杂度达到 O(n^3) ...
- nyoj 991 Registration system (map)
Registration system 时间限制:1000 ms | 内存限制:65535 KB 难度:2 描述 A new e-mail service "Berlandesk&q ...
- 编译spark支持thriftserver
cdh默认把spark的spark-sql以及hive-thriftserver给弃用掉了,想玩玩thriftserver,于是自己重新编译一个 官网参考: http://spark.apache.o ...
- 减少HTTP请求的方式
1. 图片地图 缺点:坐标难定义:除了矩形之外几乎无法定义其他形状:通过DHTML(动态DOM操作)创建的图片地图在 IE 不兼容 <img usemap="#map1" b ...
- 根据本地ip获取地理位置,再根据地理位置,获取天气
import json,requestsfrom urllib.request import urlopenfrom pyquery import PyQuery as pqfrom lxml imp ...
- 【Linux系列】Centos7安装Samba并将工作区挂载到win(八)
目的 本文主要介绍以下两点: 一. 安装Samba 二. 挂载到window 演示 一. 安装Samba Samba是基于smb协议的,主要作用是实现跨平台文件传输. 安装 yum install - ...