在Prefuse上摸打滚爬了一段时间,发现其和善可亲,容易上手。可是往往在打开gephi,导入数据再运行时,总仍是在内心暗自赞叹gephi的绚烂之极,无与匹敌,固然,gephi也有本身的缺陷,可是gephi是一个在发展的、进步的、不断壮大的开源软件。纵使她曾经那般伤我,我还是对其依依不舍,好吧,我已经病入膏肓。。。。。html
言归正传,Gephi是一款开源免费跨平台基于JVM的复杂网络分析软件, 其主要用于各类网络和复杂系统,动态和分层图的交互可视化与探测开源工具。可用做:探索性数据分析,连接分析,社交网络分析,生物网络分析等。由于Gephi是开源软件,因此能够获取其源码,容许开发者去扩展和重复使用。java
Gephi开发平台:Netbeans平台(由于以前对于这句话理解不深,在eclipse环境下浪费了很多时间)node
开发语言:Javagit
可视化引擎:OpenGLgithub
Gephi官网: http://gephi.github.io/算法
Gephi的视频介绍: http://v.youku.com/v_show/id_XMjU5MDUwMjg4.html编程
Gephi API帮助文档:https://gephi.org/docs/api/api
Gephi Toolkit: http://gephi.github.io/toolkit/微信
Gephi 论坛: https://forum.gephi.org/网络
贴上gephi作的两张图:
如今,咱们就深刻Gephi,好好了解下这个strong visual tool,此次咱们不走源码,做为过来人,我仍是想提醒下,若是java功底不是很扎实或是不太熟悉Netbeans开发平台以及Swing编程知识的能够走曲线,接近Gephi,不然会让本身焦头烂额,越陷越深,不可自拔^_^。下面经过一个实例,讲解若是新建一个Gephi实例,进行可视化展现:
(1)建立一个project、一个workspace,这是必作的工做,是进行后续操做的前提:
1
2
3
4
|
//Init a project - and therefore a workspace
ProjectController pc = Lookup.getDefault().lookup(ProjectController.
class
);
pc.newProject();
Workspace workspace = pc.getCurrentWorkspace();
|
(2)获得该空间的各个模型以及控制器,方便后面使用:
1
2
3
4
5
6
7
|
//Get models and controllers for this new workspace - will be useful later
AttributeModel attributeModel = Lookup.getDefault().lookup(AttributeController.
class
).getModel();
GraphModel graphModel = Lookup.getDefault().lookup(GraphController.
class
).getModel();
PreviewModel model = Lookup.getDefault().lookup(PreviewController.
class
).getModel();
ImportController importController = Lookup.getDefault().lookup(ImportController.
class
);
FilterController filterController = Lookup.getDefault().lookup(FilterController.
class
);
RankingController rankingController = Lookup.getDefault().lookup(RankingController.
class
);
|
(3)导入数据,使用Container接收,并将数据导入到空间中:
1
2
3
4
5
6
7
8
9
10
11
12
|
//Import file
Container container;
try
{
File file =
new
File(getClass().getResource(
"/org/gephi/toolkit/demos/resources/polblogs.gml"
).toURI());
container = importController.importFile(file);
container.getLoader().setEdgeDefault(EdgeDefault.DIRECTED);
//Force DIRECTED
}
catch
(Exception ex) {
ex.printStackTrace();
return
;
}
//Append imported data to GraphAPI
importController.process(container,
new
DefaultProcessor(), workspace);
|
(4)经过打印信息,验证图形数据是否导入成功:
1
2
3
4
|
//See if graph is well imported
DirectedGraph graph = graphModel.getDirectedGraph();
System.out.println(
"Nodes: "
+ graph.getNodeCount());
System.out.println(
"Edges: "
+ graph.getEdgeCount());
|
(5)对图形数据进行过滤操做:
1
2
3
4
5
6
7
|
//Filter
DegreeRangeFilter degreeFilter =
new
DegreeRangeFilter();
degreeFilter.init(graph);
degreeFilter.setRange(
new
Range(
30
, Integer.MAX_VALUE));
//Remove nodes with degree < 30
Query query = filterController.createQuery(degreeFilter);
GraphView view = filterController.filter(query);
graphModel.setVisibleView(view);
//Set the filter result as the visible view
|
(6)经过打印信息,验证过滤操做是否起做用:
1
2
3
4
|
//See visible graph stats
UndirectedGraph graphVisible = graphModel.getUndirectedGraphVisible();
System.out.println(
"Nodes: "
+ graphVisible.getNodeCount());
System.out.println(
"Edges: "
+ graphVisible.getEdgeCount());
|
(7)执行YifanHuLayout布局算法:
1
2
3
4
5
6
7
8
9
10
11
|
//Run YifanHuLayout for 100 passes - The layout always takes the current visible view
YifanHuLayout layout =
new
YifanHuLayout(
null
,
new
StepDisplacement(1f));
layout.setGraphModel(graphModel);
layout.resetPropertiesValues();
layout.setOptimalDistance(200f);
layout.initAlgo();
for
(
int
i =
0
; i <
100
&& layout.canAlgo(); i++) {
layout.goAlgo();
}
layout.endAlgo();
|
(8)根据节点度值分配节点颜色:
1
2
3
4
5
|
//Rank color by Degree
Ranking degreeRanking = rankingController.getModel().getRanking(Ranking.NODE_ELEMENT, Ranking.DEGREE_RANKING);
AbstractColorTransformer colorTransformer = (AbstractColorTransformer) rankingController.getModel().getTransformer(Ranking.NODE_ELEMENT, Transformer.RENDERABLE_COLOR);
colorTransformer.setColors(
new
Color[]{
new
Color(
0xFEF0D9
),
new
Color(
0xB30000
)});
rankingController.transform(degreeRanking,colorTransformer);
|
(9)分配节点大小:
1
2
3
4
5
6
7
|
//Rank size by centrality
AttributeColumn centralityColumn = attributeModel.getNodeTable().getColumn(GraphDistance.BETWEENNESS);
Ranking centralityRanking = rankingController.getModel().getRanking(Ranking.NODE_ELEMENT, centralityColumn.getId());
AbstractSizeTransformer sizeTransformer = (AbstractSizeTransformer) rankingController.getModel().getTransformer(Ranking.NODE_ELEMENT, Transformer.RENDERABLE_SIZE);
sizeTransformer.setMinSize(
3
);
sizeTransformer.setMaxSize(
10
);
rankingController.transform(centralityRanking,sizeTransformer);
|
(10)预览效果配置,并呈现到Display上,添加到JFrame,进行界面话展现:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
|
//Preview
PreviewController previewController = Lookup.getDefault().lookup(PreviewController.
class
);
model.getProperties().putValue(PreviewProperty.SHOW_NODE_LABELS, Boolean.TRUE);
model.getProperties().putValue(PreviewProperty.EDGE_COLOR,
new
EdgeColor(Color.GRAY));
model.getProperties().putValue(PreviewProperty.EDGE_THICKNESS,
new
Float(
0
.1f));
model.getProperties().putValue(PreviewProperty.NODE_LABEL_FONT, model.getProperties().getFontValue(PreviewProperty.NODE_LABEL_FONT).deriveFont(
8
));
previewController.refreshPreview();
//New Processing target, get the PApplet
ProcessingTarget target = (ProcessingTarget) previewController.getRenderTarget(RenderTarget.PROCESSING_TARGET);
PApplet applet = target.getApplet();
applet.init();
//Refresh the preview and reset the zoom
previewController.render(target);
target.refresh();
target.resetZoom();
//Add the applet to a JFrame and display
JFrame frame =
new
JFrame(
"Test Preview"
);
frame.setLayout(
new
BorderLayout());
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.add(applet, BorderLayout.CENTER);
frame.pack();
frame.setVisible(
true
);
|
控制台打印信息为:
1
2
3
4
5
6
|
# Nodes loaded: 1490
# Edges loaded: 19025
Nodes: 1490
Edges: 19025
Nodes: 397
Edges: 10599
|
执行的结果以下图所示:
了解Prefuse的API以及建立一个Prefuse应用的思路详见《漫谈可视化Prefuse(二)---一分钟学会Prefuse》,再回首看Gephi Toolkit建立gephi应用的思路也是一模一样,后续有时间将继续Gephi Toolkit之旅!
若是以为有用,欢迎点赞^_^!也欢迎加入公告栏的可视化群。
本文连接:《Gephi可视化(一)——使用Gephi Toolkit建立Gephi应用》
友情赞助
若是你以为博主的文章对你那么一点小帮助,恰巧你又有想打赏博主的小冲动,那么事不宜迟,赶忙扫一扫,小额地赞助下,攒个奶粉钱,也是让博主有动力继续努力,写出更好的文章^^。
1. 支付宝 2. 微信