Which is the layout provided by NetworkX?
By default, the layout of the nodes and edges is automatically determined by the Fruchterman-Reingold force-directed algorithm [62] (called “spring layout” in NetworkX), which conducts a pseudo-physics simulation of the movements of the nodes, assuming that each edge is a spring with a fixed equilibrium distance.
How do you draw a community on NetworkX?
What you want to do is the following:
- Position the communities with respect to each other: create a new, weighted graph, where each node corresponds to a community, and the weights correspond to the number of edges between communities.
- Position the nodes within each community: for each community, create a new graph.
What can I do with NetworkX?
NetworkX provides classes for graphs which allow multiple edges between any pair of nodes, MultiGraph and MultiDiGraph. This can be powerful for some applications, but many algorithms are not well defined on such graphs: shortest path is one example.
How do I add edges to NetworkX?
Add an edge between u and v. The nodes u and v will be automatically added if they are not already in the graph. Edge attributes can be specified with keywords or by directly accessing the edge’s attribute dictionary.
What does NX Spring_layout do?
Position nodes using Fruchterman-Reingold force-directed algorithm. The algorithm simulates a force-directed representation of the network treating edges as springs holding nodes close, while treating nodes as repelling objects, sometimes called an anti-gravity force.
What is community network detection?
The concept of community detection has emerged in network science as a method for finding groups within complex systems through represented on a graph.
What is K clique community?
A k-clique community is the union of all cliques of size k that can be reached through adjacent (sharing k-1 nodes) k-cliques.
What is an edge in NetworkX?
edges (nbunch=None, data=False, default=None)[source] Return a list of edges. Edges are returned as tuples with optional data in the order (node, neighbor, data). Parameters: nbunch (iterable container, optional (default= all nodes)) – A container of nodes.
How do I add weighted edges to NetworkX?
Add all the edges in ebunch as weighted edges with specified weights. Each edge given in the list or container will be added to the graph. The edges must be given as 3-tuples (u,v,w) where w is a number.