# Networkx Save Graph

So in theory to load the gpickle graph should be quite fast. I have not tried this, but you can export a Neo4j graph into a JSON file. Researchers commonly wish to implement their own custom analysis methods for particle simulations. Graph(a_seidel_matrix, format='seidel_adjacency_matrix') - return a graph with a given Seidel adjacency matrix (see documentation of seidel_adjacency_matrix()). GraphML is the preferred interchange format because it preserves all calculated measures (such as. save; webweb. NetworkX is the most popular Python package for manipulating and analyzing graphs. After that you created a Graph object using NetworkX and loaded your data into that object. OSMnx can save the street network to disk as a GraphML file to work with later in Gephi or networkx. This representation requires space for n2 elements for a graph with n vertices. A lobster is a tree that reduces to a caterpillar when pruning all leaf nodes. This is based on cypher-ipython module. - Support for JOY PADS that use Android OS friendly key codes (KEYCODE_DPAD_LEFT, KEYCODE_BUTTON_A, etc) - Fixed touch input for Moto G6 Plus devices - Added 3 achievements - New compression algorithm to save valuable. With the rapid increase in smart objects forming IoT fabric,. The software provides a standard programming interface and graph implementation suitable for many applications and a rapid development environment for collaborative and multidisciplinary projects. load (f) g = json_graph. Press t to show/hide the tag markers. Petersen Graph: The Petersen graph is an undirected graph with 10 vertices and 15 edges. Applications supporting GMLEdit. At the end of the article is a reference section that describes the public properties, methods and commands exposed by NetworkView. This problem could be solved easily using (BFS) if all edge weights were ($$1$$), but here weights can take any value. 0版本中做出调整， 可以直接使用G[ i ] 获取节点 i 的邻居节点 。. Graph, then self. So let's start there. NetworkX supports exporting graphs into formats that can be handled by graph plotting tools such as Cytoscape , Gephior , Graphviz , and also Plotly (If you are interested in Plotly, check out our posts on. info needs all CSS files to be minified and compressed as it can save up to 196. Here is an example for a nested. And a special condition was that all the edges must be unique. Python networkx 模块， get_edge_attributes() 实例源码. O iya, post ini adanya di blog ini , bukannya di blog data science , karena permasalahan yang dibahas agak menjauh dari tema DS/IoT/BD. 3/13/2012. All graph layouts and file formats supported by Graphviz are supported by GOGrapher. So far, you've read node and edge data into Python from CSV files, and then you counted those nodes and edges. The chart above shows the difference between the size before and after optimization. The incoming and outgoing traffic is represented on a line chart and logged into a file, so that you can always view statistics about your daily, weekly and monthly bandwidth usage and dial-up duration. Graphクラスおよびその派生クラスに頂点と辺を追加していきます。 下の例ではintを頂点としていますが、 hashable ならなんでも頂点として使えます。. Méthode pour enregistrer networkx graph to json graph? Semble comme il devrait y avoir une méthode dans networkx à l'exportation au format json graphique format, mais je ne le vois pas. Here, we show an example of how to write Common Neighbor Analysis (Honeycutt and Andersen, J. The core package provides data structures for representing many types of networks, or graphs, including simple graphs, directed graphs, and graphs with parallel edges and self loops. They are extracted from open source Python projects. 파이썬 NetworkX 노드 색깔(color) 두뇌미포함 2017. Matplotlib is the grandfather of python. Graph, then self. Graph(G) # convert H to undirected graph 8 Multigraphs NetworkX provides classes for graphs which allow multiple edges between any pair of nodes. png extension, will save the node degree histogram in a. Generate and parse JSON serializable data for NetworkX graphs. When you open part of a network on a new tab in Gephi, save that as well. This representation requires space for n2 elements for a graph with n vertices. Read the Docs. py, didnt recognize networkx to be a valid module until I renamed C:\python25\share\doc\networkx-0. The answer of this guy is incorrect. This page is based on a Jupyter/IPython Notebook: download the original. Such matrices are found to be very sparse. Therefore, for a directed graph, the average degree is simply the number of edges divided by the number vertices. Mathchem Python package for matemathical chemistry calculations. Tulip (software) is a free software in the domain of information visualisation capable of manipulating huge graphs (with more than 1. In NetworkX, nodes can be any hashable object e. Using matplotlib. Specify the visibility as percentage: 10%. And they're customizable, so you can get the look you want: customize the colors, the fonts and the backgrounds with our simple drag and drop tools. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. , graphs in which the nodes are hierarchically ordered. In my windows installation, Nataša Kejžar's two programs for the feedback networks simulation, feedback. Python language data structures for graphs, digraphs, and multigraphs. I imagine this should be easy to do with nx. Matplotlib is capable of creating all manner of graphs, plots, charts, histograms, and much more. write the content read into source back into the file. グラフの作成(ノードとエッジの作成) 参考:Creating a graph — NetworkX 1. Simple Python script basicGraph. Data are accessed as such: G. It also has inbuilt support for plotting the graphs so they are. k_components¶ k_components (G, min_density=0. label (optional) – It will add this label to the node. Save the code as anyname. read_gpickle ('the_great_graph. A k-component is a maximal subgraph of a graph G that has, at least, node connectivity k: we need to remove at least k nodes to break it into more components. But these plots are all static and it's hard to depict the change of data values in a dynamic and pleasingly…. We have various centrality measures that we can use and in this post we will focus on the Betweenness Centrality. Visualize the following graphs. Creating a graph. In most cases these tools can be used without pandas but I think the combination of pandas + visualization tools is so common, it is the best place to start. matplotlib graph. After the graph is shown, I want to save it as jpg or png file. read_csv (". A graph can be directed (arrows) or undirected. pyplot as plt G = nx. The scale of these graphs - in some cases billions of vertices, trillions of edges - poses challenges to their efficient processing. If you're not up-to-speed with XML, you're way behind the 8-ball. (Note: Python's None object should not be used as a node as it determines whether optional function arguments have been assigned in. So in theory to load the gpickle graph should be quite fast. Go back to 1 and restart to revise stats. 株式会社ロジッキー代表のえどいちです。プログラム好きです。請負開発や、クラウドファンディングのパッケージシステムの販売などをしています。今好きなのは、Vue. •Show the graph. It is available from https://networkx. When you run an analysis, save the network again with a different name for future references. The analysis is done using NetworkX. A reduced adjacency matrix contains only the non-redundant portion of the full adjacency matrix for the bipartite graph. It does allow. First, click on the surface at the observer location, then click the surface at the target location. A simple Networkx Example. First you need to install NetworkX. 0 documentation abipy. Using Networkx: I found networkx can load graphs from many different formats (I am unsure which format neo4j stores their dbs), however I haven't found a way to extract a only a subgraph into Networkx. Save this file as 'users. NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. mplleaflet. @classmethod def from_json (cls, json_file): """Load a graph from a JSON file in the NetworkX json_graph format. In NetworkX one can create graphs for undirected and directed networks, add and remove nodes and edges in different ways, visualize the network and export network data to draw it with an external tool. py, didnt recognize networkx to be a valid module until I renamed C:\python25\share\doc\networkx-0. The function returns a NetworkX object that represents this graph. ニコニコ動画のボーカロイド共演ネットワーク - 驚異のアニヲタ社会復帰への道 ↑これと似たようなものをPythonで再現してみよう企画その2 前回は適当な線グラフをmatplotlib+ImageMagickでgifアニメにしましたが、今回Pythonのネットワークを扱うパッケージであるNetworkXと連携させる方法…. In NetworkX, nodes can be any hashable object e. Standard examples include the Web graph and various social networks. Read the Docs v: latest. The original version was designed and written by AricHagberg, Dan Schult, and Pieter Swart in 2002 and 2003. Get this from a library! Mining the social web, GitHub : using Python and NetworkX to gain insight into GitHub's usage and community of users. distance import abs_correlation import warnings warnings. For example, if you have a Spark DataFrame diamonds_df of a diamonds dataset grouped by diamond color, computing the average price, and you call. You can also take a screenshot from the Overview panel (click on the tiny camera). 1 kB or 29% of the original volume. Data structures are not supported. Open Graph description is not detected on the main page of NETWORKX. In NetworkX, nodes can be any hashable object e. python code examples for networkx. Let’s create a basic Graph class >>> g = nx. Data Scientist Graph analytics experience, using software such as iGraph and NetworkX, and familiarity with common algorithms for community detection. Researchers commonly wish to implement their own custom analysis methods for particle simulations. Using Graphviz for Visualization. I've read in here that "graph-tool" is faster, so I tried the same program who count the duplicated graphs (I call them frequent in the program) in networkx and graph-tool. shp-file Using NetworkX For my own project I needed to create a graph based on a Delauney triangulation using NetworkX python library. It is a small graph that serves as a useful example and counterexample for many problems in graph theory. ∙ 0 ∙ share. node_link_data(g) json. Tulip (software) is a free software in the domain of information visualisation capable of manipulating huge graphs (with more than 1. Busses are being represented by nodes (Note: only buses with in_service = 1 appear in the graph), edges represent physical connections between buses (typically lines or trafos). A while ago, I read a graph implementation by Guido van Rossen that was deceptively simple. * successors - NetworkX 1. If graph is a None, then self. display function. Creating a graph. This is called a bar graph. Social media is used every day for many purposes: expressing opinions about different topics such as products and movies, advertising an event, a service or a conference, among other things. py and to_Pajek. Read the Docs v: latest. You can use Cytoscape. Networkx is a python package for creating, visualising and analysing graph networks. Line graphs are usually used to find relationship between two data sets on different axis; for instance X, Y. NetworkX graph objects come in different ﬂavors depending on two main properties of the network:. By definition, a Graph is a collection of nodes (vertices) along with identified pairs of nodes (called edges, links, etc). It looks ugly to draw trees with its built-in graph layout. The following problems appeared in the programming assignments in the coursera course Applied Social Network Analysis in Python. png extension, will save the node degree histogram in a. py and to_Pajek. Graph and Network Algorithms Directed and undirected graphs, network analysis Graphs model the connections in a network and are widely applicable to a variety of physical, biological, and information systems. Once the tarball VisualizeDirectedGraph. Pythonのライブラリ、NetworkXの使い方を、Qiitaの投稿に付けられたタグの関係グラフの作成を例にして説明します。 NetworkXを使うと、下に示すような、ノードとエッジで構成されるグラフを描くことができます。 Qiitaは、投稿. CNTK provides a simple way to visualize the underlying computational graph of a model using Graphviz, an open-source graph visualization software. Necessary to use the from_networkx function to generate Bokeh graph renderers directly from NetworkX data. Creating a graph. The following theory is going to be used to solve the assignment problems. OSMnx: retrieve, model, analyze, and visualize street networks from OpenStreetMap. Clear this checkbox to save the desktop space. While the parameters are optional for pb file, you need it for our task since we need to use parameters to do inference. Or it can save the network (such as this one, for the New York urbanized area) as ESRI shapefiles to work with in any GIS: OSMnx can also save street networks as SVG files for design work in Adobe Illustrator:. add_edge(1, 2, weight=3) G. abc as abc except ImportError: import collections as abc from collections import namedtuple import networkx as nx __all__ = 'markov_network', ##### # The following code is partially based on. Network requests diagram networkx. NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and function of complex networks. For these queries to work, you must have an Azure Cosmos DB account and have graph data in the container. Save PB Model. nodes — abipy 0. 7 documentation Also worthy of note: * successors_iter - NetworkX 1. LiveGraph can automatically re-examine the data file at short time intervals (anything between 100 Hz and once per hour) and update the graphs on the screen in real-time. 4 Just type 'python2. Using FCA Software with Sage The computer algebra software Sage is a free open source alternative to Magma, Maple, Mathematica and Matlab. write_png('tree. readwrite import json_graph. Robert is working on implementing electrical networks. So with that, the first step was to import the data in. This post gives a simple networkx example to show how it works. Matplotlib offers some convenience functions. Learn more…. O iya, post ini adanya di blog ini , bukannya di blog data science , karena permasalahan yang dibahas agak menjauh dari tema DS/IoT/BD. Converts a pandapower network into a NetworkX graph, which is a is a simplified representation of a network’s topology, reduced to nodes and edges. For NetworkX, a Graph object is one big thing (your network) made up of two kinds of smaller things (your nodes and your edges). SAVE AS DISCARD CHANGES IMPORT MODULE View in Gallery Graph Node Degree is used to compute the Node Degree metric of a node in a graph, which is the number of incident edges to each node. Graph() # empty graph The graph g can be grown in several ways. An instance of a GO graph class can be stored in several forms, including as an image or a serialized format. pyplot as plt #Let g be a graph that I created nx. Detection and Extraction of tables from Scanned images using Region Proposal Network and Convolutional Neural Network(Mask-RCNN on top of Tensorflow). The hierarchy is expressed by the structure of the GraphML document. NetworkX provides a wide variety of very useful graph data structures and algorithms as well graph I/O facilities. Compute Node Degrees of a Network Graph. G and displays the result; show_graph is True implies Graph is shown along with adjacancy matrix and final matrix; Here we shall create a matrix from numpy array, and assign random weights to its edges. IT Questions and Answers at it1me. In NetworkX, nodes can be any hashable object e. The incoming and outgoing traffic is represented on a line chart and logged into a file, so that you can always view statistics about your daily, weekly and monthly bandwidth usage and dial-up duration. After the graph is shown, I want to save it as jpg or png file. NetworkX is the most popular Python package for manipulating and analyzing graphs. Graph and Network Algorithms Directed and undirected graphs, network analysis Graphs model the connections in a network and are widely applicable to a variety of physical, biological, and information systems. Bokey-widgets files are optional. ) – pos containing positions for the graph generated by some network layout algorithm. But let's save that for a future post. Key features. Attributes are often associated with nodes and/or edges. read_csv (". >>> import networkx as nx There are different Graph classes for undirected and directed networks. Changing the background of a pandas matplotlib graph. Some of the general graph layouts are : draw_circular(G, keywrds) : This gives cicular layout of the graph G. Much of the above code is the same as in show_graph and is for the same purposes. Unfortunately, most decimal fractions cannot be represented exactly as binary fractions. 1 kB or 29% of the original volume. png') This will save the visualization to the image tree. 7 (VTK for Python 3 is not quite ready) (2)Load that ﬁle into ParaView ParaView comes with its own Python shell and VTK, but it is somewhat tricky to install NetworkX there. However, I found that NetworkX had the strongest graph algorithms that I needed to solve the CPP. A lobster is a tree that reduces to a caterpillar when pruning all leaf nodes. Graph-tool, a free and efficient Python module for manipulation and statistical analysis of graphs. import simplejson as json import networkx as nx G = nx. PyDI: Python Data Integration package SourceForge project Download PyDI API Documentation Browse source PyDI is a lightweight, 100% Python, federated data integration system. from_file()-classmethod (alternate constructor): Note that if you call render() or view() on the returned Source object, it will still save() as usual (i. crs as crs from matplotlib import pyplot as plt # Define an axes object with a projection ax = plt. The core package provides data structures for representing many types of networks, or graphs, including simple graphs, directed graphs, and graphs with parallel edges and self loops. The input graphs are undirected graphs, their edges have no weights, but nodes have names. neighbors( i )来获取 i 节点的邻居节点，但是在2. Pandas: Think of being able to script Microsoft Excel to read, save, parse, or rearrange spreadsheets and you get an idea of what Pandas does. GML format is a standard graph format networkx knows about, so that file can be read into Python as follows:. Either they are wanting to see it for themselves to get a better grasp of the data, or they want to display the data to convey their results to someone. This post looks at some of the ways networkx allows you to load graphs from file, and gives some simple examples to help you get started. Obviously, NetworkX needs image optimization as it can save up to 133. So far, you've read node and edge data into Python from CSV files, and then you counted those nodes and edges. It assumes the basic equation of a line is y=mx+b where m is the slope and b is the y-intercept of the line. Network; from webweb import Web import networkx as nx G = nx. It is extremely fast and the feature was not present in NetworkX because of the problem being categorized as NP-hard so, it needs a lot of approximations to make and Python isn't so good at speed either. Network analysis in Python. Now, NetworkX has not been designed with the primary intent of drawing graphs. Now lets embed these variables in django template. Get answers to programming and other technology questions. After the graph is shown, I want to save it as jpg or png file. It is a free network analysis toolkit widely used by network. Graphs and Networks 3. Using Networkx: I found networkx can load graphs from many different formats (I am unsure which format neo4j stores their dbs), however I haven't found a way to extract a only a subgraph into Networkx. Python provides a lot of modules and packages for doing that. 7 documentation * predecessors_iter - NetworkX 1. Return type: A list of Neo4j created resources. The query must be geocodable and OSM must have polygon boundaries for the geocode result. G (networkx. graph (networkx. Although it is very easy to implement a Graph ADT in Python, we will use networkx library for Graph Analysis as it has inbuilt support for visualizing graphs. js, Vuetify, Firebase, Auth0です。. Visualizing with D3 JavaScript Network Graphs from R Posted on November 17, 2016 January 4, 2019 by John Hi all, I want to visualize some of my courses I've followed by year. Using Graphviz for Visualization. NetworkX: Graph Manipulation and Analysis. 특히 networkx와 함께 사용하면 좀 더 예쁘게 그릴 수 있을 것 같아요. Network analysis in Python. pkl') NetworkX is a powerful tool to manipulate complex graphs, plenty of functions included, see the documentation to learn more what you need. DiGraph() # add nodes, edges, etc to G. You can select metrics and create graphs of the metric data using the CloudWatch console. NetworkX, an open source Python library for studying complex graphs. Here is a quick description of the currently implemented tests:: test='graph' Indicates that the graph matcher is looking for a graph-graph isomorphism. I used the matplotlib function savefig but when the image is saved, it does not contain. Network requests diagram networkx. There are 5 nodes and 3 edges. has_path` algorithm in identifying a connection between two nodes. Networkx is capable of creating a graph from within a python script, but you may also want to load a graphs from file. Node+ Markup SVG Cypher Style. graph (networkx. draw_planar(G, keywrds) :] This gives a planar layout of a planar networkx graph G. ニコニコ動画のボーカロイド共演ネットワーク - 驚異のアニヲタ社会復帰への道 ↑これと似たようなものをPythonで再現してみよう企画その2 前回は適当な線グラフをmatplotlib+ImageMagickでgifアニメにしましたが、今回Pythonのネットワークを扱うパッケージであるNetworkXと連携させる方法…. Petersen Graph: The Petersen graph is an undirected graph with 10 vertices and 15 edges. • A "ladder graph" of length 5. save; webweb. One examples of a network graph with NetworkX. mplleaflet. Nodes are part of the attribute Graph. The following are code examples for showing how to use networkx. It assumes the basic equation of a line is y=mx+b where m is the slope and b is the y-intercept of the line. NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Save the code as anyname. NetworkXはRに比べ、統計的処理などの点では劣っていて、基本的な処理しかできない一方で、Pythonのライブラリであるため、ネットワークデータの取得から可視化までを一連の流れにしたり、Cytoscapeなどのより高度な可視化ツールを扱うなど、融通の効く点で. At the end of the article is a reference section that describes the public properties, methods and commands exposed by NetworkView. Now lets embed these variables in django template. 95) [source] ¶. node, which is a dictionary where the key is the node ID and the values are a dictionary of attributes. NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and function of complex networks. Jason Grout's (Brigham Young) SQL lite graph database is almost finished, and when it is done, it will be interfaced by Emily. The bar chart can be changed either by selecting a category in the dropdown or selecting points in the scatter plot (relayout_data). Graph(another_graph) - return a graph from a Sage (di)graph, pygraphviz graph, NetworkX graph, or igraph graph. 株式会社ロジッキー代表のえどいちです。プログラム好きです。請負開発や、クラウドファンディングのパッケージシステムの販売などをしています。今好きなのは、Vue. save; webweb. - Come out with research ideas and test them. Visualizing with D3 JavaScript Network Graphs from R Posted on November 17, 2016 January 4, 2019 by John Hi all, I want to visualize some of my courses I've followed by year. It has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and in visual interfaces for other technical domains. I used the matplotlib function savefig but when the image is saved, it does not contain anything. Hi! I've just gotten started with Plotly and I'm trying to plot a NetworkX graph with weighted edges. We are working on it. The following basic graph types are provided as Python classes: Graph This class implements an undirected graph. Window opacity: NetWorx Graph can appear semitransparent. edge[node1][node2]['attr_name']. Don't have any of those? Complete the 5-minute quickstart or the developer tutorial to create an account and populate your database. process import * from proxi. Read the Docs v: latest. The structure of NetworkX can be seen by the organization of its source code. neighbors( i )来获取 i 节点的邻居节点，但是在2. When I first started making D3 graphs I ended up writing my own function to do this before discovering the Networkx built-in! We'll save the graph to our working directory as graph. Read in edgelist to NetworkX / (or read in JSON) Convert to NetworkX graph object. read_csv (". After the graph is shown, I want to save it as jpg or png file. # Go through all the properties if not seen and add them. Now, we will discuss the various Special Graphs offered by Networkx module. Graphs as a Python Class Before we go on with writing functions for graphs, we have a first go at a Python graph class implementation. Python networkx 模块， get_edge_attributes() 实例源码. com - Paul Krill is an editor at large at InfoWorld, whose coverage focuses on application development. But let’s save that for a future post. Here is an example for a nested. Networx utility is geared towards individual desktop monitoring rather than remote tracking of bandwidth like the others mentioned in this post. get_edge_attributes()。. Since I had used NetworkX a long time ago for drawing network graphs, I decided to use it again. Visualizing your LinkedIn graph. Print the graph's average degree and its centers for N = 10. pyplot as plt G=nx. This week I discovered graph-tool, a Python library for network analysis and visualization that is implemented in C++ with Boost. We are working on it. png file in your directory. By definition, a Graph is a collection of nodes (vertices) along with identified pairs of nodes (called edges, links, etc). The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. To illustrate a use case, let's first build a simple convolutional network using the CNTK Layers library. Or it can save the network (such as this one, for the New York urbanized area) as ESRI shapefiles to work with in any GIS: OSMnx can also save street networks as SVG files for design work in Adobe Illustrator:. Read the Docs. save is True implies animation is saved in output/ folder; apply_to_graph(self, show_graph=True): applies self. After that you created a Graph object using NetworkX and loaded your data into that object. More Chart Studio Docs. Now lets embed these variables in django template. Find out how you can use the Microsoft Graph API to connect to the data that drives productivity - mail, calendar, contacts, documents, directory, devices, and more. They were time series graphs of multiple variables, so the time stayed the same but the variable on the Y axis changed and the code also changed the titles of the graphs. write_gpickle (G, 'the_great_graph. It also allows you to save place boundary geometries as shapefiles. CNTK provides a simple way to visualize the underlying computational graph of a model using Graphviz, an open-source graph visualization software. The graph can have parallel links between two nodes and I would like it to be undirected. To display an animation where sim is the Simulation_Investigation object simply do:: sim. It is extremely fast and the feature was not present in NetworkX because of the problem being categorized as NP-hard so, it needs a lot of approximations to make and Python isn't so good at speed either. NetworkX was born in May 2002. NetworkX only provides basic functionality for visualizing graphs. Move to D3 to visualize. 특히 networkx와 함께 사용하면 좀 더 예쁘게 그릴 수 있을 것 같아요. load (f) g = json_graph. A graph in mathematics and computer science consists of "nodes" which may or may not be connected with one another. There is no implicit integration between Gephi and NetworkX. 12/15/2017; 2 minutes to read; In this article. Pythonのライブラリ、NetworkXの使い方を、Qiitaの投稿に付けられたタグの関係グラフの作成を例にして説明します。 NetworkXを使うと、下に示すような、ノードとエッジで構成されるグラフを描くことができます。 Qiitaは、投稿. add_edges_from (. I used the matplotlib function savefig but when the image is saved, it does not contain anything. The networks displayed within Jupyter notebook cells may be dragged, clicked, and hovered on, and zooming is enabled within the window. Calling the function save_histogram with a networkx graph object and a filename with a. It is supported by nearly most of graph softwares, including Pajek, NodeXL and NetworkX. 株式会社ロジッキー代表のえどいちです。プログラム好きです。請負開発や、クラウドファンディングのパッケージシステムの販売などをしています。今好きなのは、Vue. If you click in the graph, then you can use the arrow keys or vim movement keys (hjkl). The node in-degree is the number of edges pointing in to the node. It's a dictio-nary where keys are their nodes and values the communities weight [str, optional] the key in graph to use as weight. From there, you can embed your plots in a web page.