我想丢弃有向图中的传入节点.
tl; dr(跳到第3节)
我有一个图表,我执行BFS以删除所有不相关的节点(相对于候选边缘).
1.样本图数据
这是一个图形数据结构:
哪里:
– id1是源,id2是目标
var links = [
{id1: 1, id2: 2},
{id1: 2, id2: 3},
{id1: 9, id2: 3},
{id1: 6, id2: 8},
{id1: 3, id2: 4}
]
上面的可视化:
2.我成功地丢弃了不相关的节点/边缘
我运行一个BFS(下面的函数)来丢弃相对于edge = 1的所有不相关的节点,这产生了这个:
var links = [
{id1: 1, id2: 2},
{id1: 2, id2: 3},
{id1: 9, id2: 3},
// {id1: 6, id2: 8}, Discarded (no connection with 1)
{id1: 3, id2: 4}
]
上述可视化:
3.我现在想要删除传入的节点
现在我想删除所有传入节点,并且只保留引用“朝向”相关节点的节点(缺少更好的单词),从edge = 1开始
例如:
var links = [
{id1: 1, id2: 2},
{id1: 2, id2: 3},
{id1: 9, id2: 3}, // remove this
{id1: 3, id2: 4}
]
我怎么能这样做?
这是我目前用来删除不相关的节点/边缘的内容:
var filterUnrelated = function(data, candidateId) {
var toTest = [candidateId];
var connected = [];
function addToTest(node) {
//If the node is not already set to be tested, and have not been tested
if (connected.indexOf(node) < 0 && toTest.indexOf(node) < 0) {
toTest.push(node);
}
}
function findAllConnectedNode(node) {
//We only test connected node, so this node should be connected
connected.push(node);
//Find every link with that node
data.filter(function(d) {
return (d.id1 === node) || (d.id2 === node);
//Add the linked node to test
}).map(function(d) {
if (d.id1 === node) {
addToTest(d.id2);
}
else { //d.id1 === node
addToTest(d.id1);
}
});
}
while (toTest.length > 0) {
findAllConnectedNode(toTest.shift());
}
return data.filter(function(d) {
return (connected.indexOf(d.id1) >= 0 ||
connected.indexOf(d.id2) >= 0);
})
}
var links = [
{id1: 1, id2: 2},
{id1: 2, id2: 3},
{id1: 9, id2: 3},
{id1: 6, id2: 8},
{id1: 3, id2: 4}
]
console.log(filterUnrelated(links, 1));
最佳答案 假设您的图形永远不会有分支(即一个节点通向两个节点),您可以从源节点开始并继续向上查找每个子节点.
function removeIncoming(data, source){
// keep track of the member we are looking for
var target = source;
// the resulting graph
var result = [];
// iterate through the data, looking for the target
for(var i = 0; i < data.length; i++){
// the object in the list
var piece = data[i];
// its properties id1 and id2
var id1 = piece.id1;
var id2 = piece.id2;
// when we have found what we are looking for
if(id1 === target){
// look for its child
target = id2;
// start at the beginning
i = -1;
// and add the link to the resulting list
result.push(piece);
}
}
return result;
}
或者,对于分支节点,您可以跟踪数组中的每个可能节点,然后使用indexOf搜索它们.
function removeIncoming(data, source){
// copy the data
var dataCopy = Array.prototype.slice.call(data);
// keep track of the members we are looking for
var targets = [source];
// the resulting graph
var result = [];
// iterate through the data, looking for the target
for(var i = 0; i < dataCopy.length; i++){
// the object in the list
var piece = dataCopy[i];
// its properties id1 and id2
var id1 = piece.id1;
var id2 = piece.id2;
// when we have found what we are looking for
if(targets.indexOf(id1) >= 0){
// begin looking for its child
targets.push(id2);
// remove the node we just looked at
dataCopy.splice(i, 1);
// start at the beginning
i = -1;
// and add the link to the resulting list
result.push(piece);
}
}
return result;
}