Average degree networkx python values())) in_hist = [in_degrees. def in_degree_centralization(G): centralities=nx. Compute assortativity Oct 2, 2018 · The focus of this tutorial is to teach social network analysis (SNA) using Python and NetworkX, a Python library for the study of the structure, dynamics, and functions of complex networks. Python NetworkX average_degree_connectivity用法及代码示例; Python NetworkX average_neighbor_degree用法及代码示例; Python NetworkX average_shortest_path_length用法及代码示例; Python NetworkX all_simple_paths用法及代码示例; Python NetworkX add_star用法及代码示例; Python NetworkX add_path用法及代码示例 The average degree connectivity is the average nearest neighbor degree of nodes with degree k. Apr 18, 2021 · Python: get the degree of all nodes, then draw a boxplot in networkx 12 Plotting the degree distribution of a graph using nx. If nbunch is omitted, then return degrees of all nodes. read_edgelist('cambridge_net. The degree of each node is determined, and a figure is generated showing three things: 1. In python, the sum can easily be obtained with builtin function sum. The number of neighbours of a node is exactly its degree. add_weighted_edges_from用法及代码示例; Python NetworkX Graph. degree_mixing_matrix (G, mapping = mapping) >>> mix_mat array([[0. Jul 28, 2020 · The probability of adding a node and an edge is Alpha + Gamma. Mọi người có thể thử. Each data point is a pair (x, y) where x is a positive integer and y is the number of nodes in the network with out-degree equal to x. Using networkx we can load and store complex networks. A dictionary keyed by node to the average degree of its neighbors. Each node has a node name and a number of edges that have a weight. To have the degrees in a list you can use a list-comprehension: degrees = [val for (node, val) in G. values()) summ=0 for i in bcc. Returns: d: dict. count_zeros bool. Mar 4, 2016 · Under the hood this is just implemented as a matplotlib scatter plot and the networkx API lets you pass many options through. Software; Documentation; Compute the average degree connectivity of I am trying to set the node size equal to nodes' degree. May 24, 2018 · I created a directed graph using the networkx package. I want the standard deviation of all these shortest path lengths. grid Compute the average degree connectivity of graph. degree(G). I tried the example at the bottom of that doc page >>> z=[10 for i in range(100)] >>> G=nx. 8w次，点赞23次，收藏28次。本文介绍了如何使用Python的networkx库创建图，添加节点和边，计算节点度，并通过degree_histogram和直方图展示度分布。重点在于理解平均度和度分布的概念，并演示了如何可视化这些数据。 • Calculate in (and out) degrees of a directed graph • Then use matplotlib (pylab) to plot the degree distribution in_degrees = cam_net. In other words: beta / (alpha+gamma) == degree - 1 For gamma of 0. So each edge adds two degrees to the graph. degree or G. expected_degree_graph(z) Jan 20, 2020 · The average_neighbor_in_degree method was replaced in networkx 1. Share Find a degree sequence with a power law distribution, and minimum value min_degree, which has approximate average degree average_degree. Notes Jul 1, 2019 · (In addition, unique_degrees is not actually going to be unique, since you can have the same value appear multiple times. out_degree # An OutDegreeView for (node, out_degree) The node out_degree is the number of edges pointing out of the node. This object provides an iterator for (node, degree) as well as lookup for the degree for a single node Compute neighbor degree only for specified nodes. degree()] Oct 2, 2018 · The average degree is very easy to check, either using the graph attributes: 2*G. xlabel('Degree') plt. order(), cam_net. figure() # you need to first do 'import pylab as plt' plt Nov 30, 2021 · ) warnings. 4415 = 883/2000, so I make 2000 graphs in which I make 883 graphs with 28 degrees and 2000-883=1117 graphs with 27 degrees? So, our average degree will be approximately the same over 2000 graphs. But if I try to find diameter of this graph using following function: Jul 6, 2021 · Your basic problem is that nx. For weighted graphs, an analogous measure can be computed using the weighted average neighbors degree defined in [1] , for a node i , as • Start Python (interactive or script mode) and import NetworkX • Different classes exist for directed and undirected networks. x. flow_func function. I can do something Python NetworkX average_degree_connectivity用法及代码示例; Python NetworkX average_clustering用法及代码示例; Python NetworkX average_shortest_path_length用法及代码示例; Python NetworkX all_simple_paths用法及代码示例; Python NetworkX add_star用法及代码示例; Python NetworkX add_path用法及代码示例 Nov 21, 2019 · NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and function of complex networks. degree(u). If a string, use this edge attribute as the edge weight. This functionality is available in networkx 2. The following is the function definition. Let’s create a basic undirected Graph: • The graph g can be grown in several ways. G = nx. average_degree_connectivity (G, source = 'in+out', target = 'in+out', nodes = None, weight = None) [source] # Compute the average degree connectivity of graph. On average, a node is connected to almost 44 other nodes, also known as neighbors of the node. 在下文中一共展示了degree_assortativity_coefficient函数的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。 Lấy Node Degree của node có id 16 thử nhé (nhìn vào hình thì ta thấy Node Degree của node này bằng 2): print(G. 0 of networkx. My dataset is Person1 Age Person2 Wedding 0 Adam John 3 Yao Ming Green 1 Mary Abbey Mar 7, 2017 · thank you @DYZ , but according to Wikipedia, the average shortest path length is not counted as the simple mean value,but I have no idea if I should divide by the total number of nodes(/8*(8-1)) or just the number of nodes in the components(/7*(7-1)) while the latter got a result of 2/3 and I find if I consider it as an un-directed graph,the calculate should divide by the number of nodes in Apr 20, 2019 · If you are looking at unweighted graph, you can use breadth-first-search and the time complexity for small k should be on average O(<k>^k), where <k>is the average degree of the regarded graph. Random graph from given degree sequence. fast_gnp_random_graph(20, 0. Counter(degree_sequence) aux_x, aux_y = zip(*degreeCount. Undirected graph. figure() # you need to first do 'import pylab as plt' plt. hist(nx. 9, and 3. Raises: NetworkXError where s_i is the weighted degree of node i, w_{ij} is the weight of the edge that links i and j, and N(i) are the neighbors of node i. 6 - see release notes (thanks @Delena Malan). 1), but it is an iterator over (node, degree) pairs. DiGraph(), nodetype=int) N, K = cam_net. The API has changed from v1. seed integer, random_state, or None (default) Sep 9, 2013 · NetworkX提供了4种常见网络的建模方法，分别是：规则图，ER随机图，WS小世界网络和BA无标度网络。本文首先介绍在NetworkX生成这些网络模型的方法，然后以BA无标度网络的建模为例，分析利用NetworkX进行复杂网络演化模型设计的基本思路，以便将来开发出我们自己的模型。 Feb 7, 2016 · You can use the following code for finding the network in degree centralization. If this is a function, the weight of an edge is the value returned by the function. 3 with the average_neighbor_degree method using the target & source keyword arguments: Code: The average degree connectivity is the average nearest neighbor degree of nodes with degree k. def degree_histogram_directed(G, in_degree=False, out_degree=False): """Return a list of the frequency of each degree value. For multigraphs or graphs with self loops the maximum degree might be higher than n-1 and values of degree centrality greater than 1 are possible. selfloops: bool (default=True) Set to False to remove the possibility of self-loop edges. The node degree is the number of edges adjacent to the node. size() avg_deg = float(K) / N print "Nodes: ", N print "Edges: ", K print "Average degree: ", avg_deg Compute the average degree connectivity of graph. Returns a degree view of single node or of nbunch of nodes. degree# property Graph. figure() • Find the number of nodes and edges, the average degree and the number of connected components cam_net = nx. all_pairs_dijkstra_path - calculates the shortest paths between all nodes in a weighted graph. x here. Also other functions such as degree(), in_degree(), average_clustering() seem to be working fine. In this example, a random Graph is generated with 100 nodes. erdos_renyi_graph# erdos_renyi_graph (n, p, seed = None, directed = False, *, create_using = None) #. Returns a \(G_{n,p}\) random graph, also known as an Erdős Sep 9, 2013 · NetworkX提供了4种常见网络的建模方法，分别是：规则图，ER随机图，WS小世界网络和BA无标度网络。本文首先介绍在NetworkX生成这些网络模型的方法，然后以BA无标度网络的建模为例，分析利用NetworkX进行复杂网络演化模型设计的基本思路，以便将来开发出我们自己的模型。 I have the following code, which worked in Python 2. array to find the mean of the created list. Mar 8, 2015 · import networkx as nx import matplotlib. all_pairs_shortest_path_length - calculates the lengths of the shortest paths between all nodes in an unweighted graph. Khi đó ta thử tìm Average Node Degree, Clustering Coefficient và Node Centrality (cụ thể là Closeness Centrality) của Graph này Who uses NetworkX? Goals; The Python programming language; Free software; History; Download. A function for computing the maximum flow among a pair of nodes. The weights are always positive, non-zero integers. Parameters : nbunch single node, container, or all nodes (default= all nodes) average_neighbor_degree (G, source = 'out', target = 'out', nodes = None, weight = None) [source] # Returns the average degree of the neighborhood of each node. , 0. What I'm trying to do is get a list of tuples where each tuple represents a node in the graph (by name) and the weighted degree of the node. Compute assortativity Parameters: w list. average_shortest_path_length(G) gives the average of shortest paths between all pairs of nodes in a graph G. Python NetworkX LFR_benchmark_graph用法及代码示例 Python NetworkX average_degree_connectivity用法及代码示例 G (NetworkX graph) – source (string (“in”|”out”)) – Directed graphs only. Update for those using networkx 2. G NetworkX graph. Given a specified n, I need find the n-degree neighborhood for each node in the graph/network. The function has to accept at least three parameters: a Digraph, a source node, and a target node. The node in_degree is the number of edges pointing to the node. Parameters: Compute average clustering for nodes in this container. Relevant documentation: Graph The average degree connectivity is the average nearest neighbor degree of nodes with degree k. in_degree_centrality(G) max_val=max(bcc. neighbor_degree. 1) Create the centrality dict: cc = nx. degree no longer returns a dict but a DegreeView Object as per the documentation. average_neighbor_in_degree (G[, nodes, weighted]): Returns the average degree of the neighborhood of each node. create_degree_sequence(100,powerlaw_sequence) with #appropriate modification while True: s=[] while len(s)<100: nextval = int(nx. Apr 19, 2022 · I am trying to generate a simple undirected random graph with N number of nodes that has all the degrees of nodes equal. Nov 22, 2017 · You are using version 2. Jun 14, 2019 · networkx. size用法及代码示例; Python NetworkX Graph. This is a close cousin of range. For weighted graphs, an analogous measure can be computed using the weighted average neighbors degree defined in [R478], for a node i, as. colors as mcolors import networkx as nx import matplotlib. 8, 3. degree(weight=weight)], reverse=True) # degree sequence degreeCount = collections. to_undirected用法及代码示例; Python NetworkX Graph. The weighted node degree is the sum of the edge weights for edges incident to that node. Let’s compute in- and out-degree distribution of the graph and plot them. import numpy as np import matplotlib. Basically, it just plots a histogram of degree nodes like so: plt. This tutorial assumes that the reader is familiar with the basic syntax of Python, no previous knowledge of SNA is expected. For weighted graphs, an analogous measure can be computed using the weighted average neighbors degree defined in [R152] , for a node \(i\) , as: If you want every possible degree to appear as a row, even if no nodes have that degree, use mapping as follows, >>> max_degree = max (deg for n, deg in G. nodes (list or iterable, optional) – Compute neighbor degree for specified nodes. Restrict the range of x between the minimum and maximum out-degrees. NetworkX provides many generator functions and facilities to read and write graphs in many formats. degree(G)]) / float(G. Python NetworkX average_neighbor_degree用法及代码示例; Python NetworkX average_shortest_path_length用法及代码示例; Python NetworkX all_simple_paths用法及代码示例; Python NetworkX add_star用法及代码示例; Python NetworkX add_path用法及代码示例; Python NetworkX all_pairs_dijkstra_path用法及代码示例 where s_i is the weighted degree of node i, w_{ij} is the weight of the edge that links i and j, and N(i) are the neighbors of node i. And return a residual network that follows NetworkX conventions (see maximum_flow() for details). That becomes 0. Aug 23, 2017 · NetworkX supports a very large number of file formats for data export. Now you have $1992636$ edges, the total degree is $1992636\times 2$,and the average degree is $\frac{1992636\times 2}{281903}=14. Draw degree rank plot and graph with matplotlib. number_of_nodes()) This object provides an iterator for (node, degree) as well as lookup for the degree for a single node. NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Introduction Apr 9, 2022 · NetworkX 2. For weighted graphs, an analogous measure can be computed using the weighted average neighbors degree defined in [R110] , for a node , as: Mar 8, 2018 · DegreeView isn't a dictionary (in NetworkX 2. degree[16]) Kết quả bằng 2 thật. png') #Save as file, format specified in argument degree_assortativity_coefficient (G[, x, y, ]). For more information, please visit our website and our gallery of examples. The degree of a node u in a networkx Graph G is G. x to 2. . – Mar 9, 2022 · Could someone explain me how does method average_neighbor_degree from networkX works? For normal graphs (not directed) results match with my intuition and my hand calculation, but I have problem with NetworkX defines no custom node objects or edge objects • node-centric view of network • nodes can be any hashable object, while edges are tuples with optional edge data (stored in dictionary) • any Python object is allowed as edge data and it is assigned and stored in a Python dictionary (default empty) NetworkX is all based on Python Apr 26, 2022 · 文章浏览阅读1. values() Oct 14, 2015 · While crawling I also create a edgelist. Jan 17, 2019 · mean degree ranging between 1 and 23; mean edge weight ranging between 1 and 5 (weights must be integers) I have tried using the python module networkx's expected_degree_graph, but I am not getting anything near the desired result. nodes())-1)*(len(G. Python NetworkX Graph. 05, and an average degree of 4, use the following values: Dec 28, 2018 · For directed graphs; For directed graphs, we could slightly modify the function nx. __contains__用法及代码示例 Dec 16, 2020 · Please advise on this solution - I approximate the decimal part to 4 places. degree_values = [v for k, v in my_degrees] Alternatively, if the order of degree_values doesn't matter, you can use. The average degree connectivity is the average nearest neighbor degree of nodes with degree k. txt', create_using=nx. connected_components returns a generator for the components, not a list of components. Jan 10, 2015 · I'm using NetworkX to create a weighted graph (not a digraph). For weighted graphs, an analogous measure can be computed using the weighted average neighbors degree defined in Apr 20, 2019 · If you are looking at unweighted graph, you can use breadth-first-search and the time complexity for small k should be on average O(<k>^k), where <k>is the average degree of the regarded graph. The probability of adding just an edge is Beta. degree_histogram to contemplate both in and out degrees:. items()) n_nodes = g Python NetworkX average_clustering用法及代码示例; Python NetworkX average_neighbor_degree用法及代码示例; Python NetworkX all_simple_paths用法及代码示例; Python NetworkX add_star用法及代码示例; Python NetworkX add_path用法及代码示例; Python NetworkX all_pairs_dijkstra_path用法及代码示例 pip install networkx 在 Python 环境中安装 NetworkX 后，我们可以在 Python 脚本或交互式环境中导入该库，并通过执行以下命令开始使用其功能。 import networkx as nx NetworkX 库提供了广泛的属性，例如聚类、连接性和其他图属性，让我们在本文中详细了解它们。 聚类系数 Oct 15, 2019 · # Imports and graph creation (you don't need them in your function) import networkx as nx import pandas as pd G = nx. Dec 4, 2018 · I want to generate random community in below way: from random import randint import networkx from networkx. ) Fixing the main issue. Try defining degree_values using. This is accomplished by either. all_pairs_dijkstra_path_length - calculates the lengths of the shortest paths between all nodes in a Dec 5, 2020 · There are several ways to get your adjacency matrix from csv format into a graph object, but the most straightforward, in my opinion, is to load the adjacency matrix using pandas, and then directly create a graph from the pandas dataframe object:. degree_values = dict(my_degrees). Python NetworkX average_clustering用法及代码示例; Python NetworkX attr_matrix用法及代码示例; Python NetworkX arbitrary_element用法及代码示例; Python NetworkX average_neighbor_degree用法及代码示例; Python NetworkX all_pairs_shortest_path用法及代码示例; Python NetworkX attribute_mixing_dict用法及代码示例 Feb 21, 2024 · 要计算一个图的平均度，可以使用NetworkX库中的`average_degree_connectivity`函数。 该函数返回一个字典，其中键是度数，值是平均连接度 首页 networkx中求解平均度_NetworkX系列教程(10)-算法之一:最短路径问题 Dec 16, 2024 · 在NetworkX，一个基于Python的数据结构和算法库用于处理图论问题，计算节点的加权度（weighted degree）非常简单。NetworkX提供了一个内置函数`degree()`，默认情况下返回的是无向图中每个节点的简单度（即与之相连的边的数量）。 Oct 17, 2016 · networkx. 8# Release date: 9 April 2022. number_of_nodes()) or the built-in per-node degree-calculator. Parameters: w list. degree_histogram degree_assortativity_coefficient (G[, x, y, ]). seed integer, random_state, or None (default) 在下文中一共展示了average_clustering函数的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。 •Calculate in (and out) degrees of a directed graph •Then use matplotlib (pylab) to plot the degree distribution in_degrees = cam_net. values())) and the following seems a bit clunky as it requires converting the networkx DegreeView to a python list of tuples The degree centrality values are normalized by dividing by the maximum possible degree in a simple graph n-1 where n is the number of nodes in G. utils. Degree Analysis# This example shows several ways to visualize the distribution of the degree of nodes with two common techniques: a degree-rank plot and a degree histogram. ylabel('Number of Subjects') plt. Is there an inbuilt method in the networkx package? I am aware of using nx. powerlaw_sequence Jan 22, 2018 · I have a graph G in networkx and would like to sort the nodes according to their degree. 137$. barabasi_albert_graph(n, m, seed) ncols = 100 pos = {i : (i % ncols, (n-i-1)//ncols Also, the average degree of a node can be seen. degree(G) ] unique_degrees = sorted(set(all Nov 12, 2020 · As stated in the comments the 2nd moment can be calculated by dividing the sum of the degrees squared by the number of nodes (assuming that every node exists only once and all have the same probability). for example, let's say all the node has degree equal to k. This function wraps the G. savefig('network_degree. Use “in”- or “out”-degree for source node. algorithms. Average clustering. degree # A DegreeView for the Graph as G. In an undirected graph, the neighborhood N(i) of node i contains the nodes that are connected to i by an edge. I think the simplest way to fix your issue is to redefine all_degrees like so (and update unique_degrees accordingly): all_degrees = [ v for _, v in nx. degree() to using a dict-like (but not dict) DegreeView. count(x) for x in in_values] plt. number_of_edges用法及代码示例; Python NetworkX Graph. Therefore, if you'd like to get an average degree of N, the ratio between beta and (alpha + gamma) should be N-1. If False include only the nodes with nonzero clustering in the average. This object provides an iterator over (node, out_degree) as well as lookup for the degree for a Jul 29, 2017 · For each edge, there are two vertexes associated to it. However, the following code does not work in latest networkx versions: sorted(set(G. Frequently at Six Degrees of Francis Bacon, we export NetworkX data in D3’s specialized JSON format, for visualization in the browser. See this guide. degree(). The n-degree neighborhood of a node v_i is the set of nodes exactly n hops away from v_i. 10. values(). The list of expected degrees. $ python >>> import Feb 5, 2022 · The question is: Write a Python function that accepts a NetworkX graph and a node name and returns the average degree of that node's neighbors. degree) >>> mapping = {x: x for x in range (max_degree + 1)} # identity mapping >>> mix_mat = nx. 7, using NetworkX. Khi đó ta thử tìm Average Node Degree, Clustering Coefficient và Node Centrality (cụ thể là Closeness Centrality) của Graph này Plot the distribution of out-degrees of nodes in the network on a loglog scale. Any edge attribute not present defaults to 1. Which changed from using a dict for G. target (string (“in”|”out”)) – Directed graphs only. subgraph用法及代码示例; Python NetworkX Graph. out_degree# property DiGraph. histogram(x) How can I get the in_degree and out_degree distributions? G NetworkX graph weight None, string or function, optional (default = None) If None, every edge has weight/distance/cost 1. I just started using the networkx package and discovered that it offers a variety of random graph generation. sum([d for (n, d) in nx. If you wanted to export a plaintext edgelist to load into Palladio, there’s a convenient wrapper for that. Compute the average degree connectivity of graph. Don’t try this method with massive graphs, it’s slow! in_degrees = hartford. This has been calculated by creating a list of all the degrees of the nodes and using numpy. If None, then each edge has weight 1. For weighted graphs, an analogous measure can be computed using the weighted average neighbors degree defined in [1] , for a node i , as Graph. Returns: avg float. values(): cc= max_val-i summ=summ+cc normalization_factor=(len(G. degree# degree (G, nbunch = None, weight = None) [source] #. pyplot as plt #create a graph with degrees following a power law distribution #I believe we can eliminate this loop to find s by using the call #nx. It is used to study large complex networks represented in form of graphs with nodes and edges. values()) plt. specifying min_degree and not average_degree, specifying average_degree and not min_degree, in which case a suitable minimum degree will be found. weight string or None, optional (default=None) The edge attribute that holds the numerical value used as a weight. You may filter out data points with a 0 entry. average_shortest_path_length方法的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。 我们从Python开源项目中，提取了以下9个代码示例，用于说明如何使用average_shortest_path_length()。 Python NetworkX average_degree_connectivity用法及代码示例; Python NetworkX average_neighbor_degree用法及代码示例; Python NetworkX average_shortest_path_length用法及代码示例; Python NetworkX all_simple_paths用法及代码示例; Python NetworkX add_star用法及代码示例; Python NetworkX add_path用法及代码示例 Lấy Node Degree của node có id 16 thử nhé (nhìn vào hình thì ta thấy Node Degree của node này bằng 2): print(G. This file seems to be fine. Then I use networkx to create a graph, which has 1000 nodes. degree property. average_neighbor_degree (G[, nodes, weighted]): Returns the average degree of the neighborhood of each node. all_pairs_shortest_path_length(G), which gives a dictionary of all the shortest path DiGraph. k_nearest_neighbors(G, nodes=None, weighted=False)¶ Compute the average degree connectivity of graph. average_degree_connectivity (G, source='in+out', target='in+out', nodes=None, weight=None) [source] ¶ Compute the average degree connectivity of graph. values()) counts, bin_edges = np. networkx. closeness_centrality(G) cc is looks like this: networkx. There is a guide for migrating from 1. Feb 5, 2022 · The average degree of the node's neighbours is the sum of the degrees of each neighbour, divided by the number of neighbours. Use this function to compute this quan-tity for every node in the OpenFlights US network and take the average. community import LFR_benchmark_graph n = [250, 500, 600, 700, 800, 900, 1000, Mar 30, 2014 · I'm new to networkx and actually a bit confused on how to efficiently find the n-degree neighborhood of a node. nodes())-2) return summ/normalization_factor 在下文中一共展示了networkx. DiGraph() In order to compute the degree distribution I just do: x = list(nx. number_of_edges() / float(G. Compute degree assortativity of graph. attribute_assortativity_coefficient (G, attribute). This object provides an iteration over (node, in_degree) as well as lookup for the degree for a single node. x to v2. The default An InDegreeView for (node, in_degree) or in_degree for single node. in_degree() # dictionary node:degree in_values = sorted(set(in_degrees. Supports Python 3. Use “in”- or “out”-degree for target node. Degree Rank¶. csv file, that contains all the edges in the graph. For instance, range(10) does not return a list of integers 0-9; it returns an iterator that will return the integers 0-9 on ten successive calls. For weighted graphs, an analogous measure can be computed using the weighted average neighbors degree defined in [1] , for a node , as: Nov 26, 2020 · In case you are using weights, follow this example from networkX documentation: def plot_degree_histogram(g, normalized=True, weight=None): degree_sequence = sorted([d for n, d in g. warn(msg, DeprecationWarning, stacklevel=2) return average_degree_connectivity(G, source, target, nodes, weight) For a complete list of NetworkX algorithms, visit docs . pyplot as plt n = 10000 # Number of nodes m = 3 # Number of initial links seed = 500 G = nx. azluto cohzs mfikx riopsyk cywxu roeaz lkcitoxz vadokm zypkxmk wouomf