Sentence examples for community label from inspiring English sources

James Holden leads the charge with the deep, ambient vision of techno his acclaimed Border Community label has long championed, but it's the diversity elsewhere that piques the ears.

We obtain the adjacency matrices for each community label by including only the nodes in each community label in a separate adjacency matrix.

With the community adjacency matrices for each community label A C and the boundary nodes belonging to the network B we can iterate through the nodes of B and run the series of random walkers localized on each boundary node and confined to each A C. The random walks used to measure the ability for nodes to influence and affect the boundary nodes have a fixed number of steps.

All these metrics ranges from 0 when the detected community labels are uninformative to 1 when the community labels specify the original partitions completely.

Community labels are 'liberal' and 'conservative' which are assigned by blog directories or occasional self-evaluation.

The boundary edges, W, can be extracted by including only edges which connect different community labels.

Here ( C 1, C 2 ) are two communities belonging to the list of community labels, C, in the graph.

The community labels are 'liberal,'neutraland and 'conservative.' There are 105 nodes and 441 edges in the network.

We assume that the number of community labels will be much less than the number of nodes, | C | ≪ N. From the boundary edge set W, the boundary nodes B, can be found.

Once the network has been decomposed into its connected subcomponents and the community labelling has been assigned, the set of boundary edges, connecting two nodes ( i, j ) belonging to different communities, can then be defined as: W i, j = { ( i, j ) : i ∈ C 1, j ∉ C 1, i ∉ C 2, j ∈ C 2 }. (2).

Table 1 Outline of the boundary node vicinity algorithm 1 Extract the set of connected graphs from the original graph 2 For each connected component obtain the community labels for the graph 3 Obtain the set of boundary nodes 4 Measure the local vicinity of each boundary node using the fixed length random walk method and aggregate all of the values in the graph into a normalized score.