The graph represents a network of 31 Twitter users whose recent tweets contained "#PyTorch or #Python", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 29 May 2019 at 20:04 UTC.
The tweets in the network were tweeted over the 7-day, 16-hour, 23-minute period from Tuesday, 21 May 2019 at 16:51 UTC to Wednesday, 29 May 2019 at 09:14 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 31
Unique Edges : 50
Edges With Duplicates : 24
Total Edges : 74
Number of Edge Types : 4
Retweet : 49
Mentions : 17
Tweet : 7
Replies to : 1
Self-Loops : 7
Reciprocated Vertex Pair Ratio : 0.0192307692307692
Reciprocated Edge Ratio : 0.0377358490566038
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 29
Maximum Edges in a Connected Component : 73
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.700592
Graph Density : 0.056989247311828
Modularity : 0.356875
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[61] #pytorch,#python [57] kubernetes,future [57] future,vms [57] vms,containers [57] containers,hypervisor [57] hypervisor,#bigdata [57] #bigdata,#analytics [57] #analytics,#datascience [57] #datascience,#ai [57] #ai,#machinelearning Top Word Pairs in Tweet in G1:
[8] kubernetes,future [8] future,vms [8] vms,containers [8] containers,hypervisor [8] hypervisor,#bigdata [8] #bigdata,#analytics [8] #analytics,#datascience [8] #datascience,#ai [8] #ai,#machinelearning [8] #machinelearning,#kubernetes Top Word Pairs in Tweet in G2:
[21] kubernetes,future [21] future,vms [21] vms,containers [21] containers,hypervisor [21] hypervisor,#bigdata [21] #bigdata,#analytics [21] #analytics,#datascience [21] #datascience,#ai [21] #ai,#machinelearning [21] #machinelearning,#kubernetes Top Word Pairs in Tweet in G3:
[12] kubernetes,future [12] future,vms [12] vms,containers [12] containers,hypervisor [12] hypervisor,#bigdata [12] #bigdata,#analytics [12] #analytics,#datascience [12] #datascience,#ai [12] #ai,#machinelearning [12] #machinelearning,#kubernetes Top Word Pairs in Tweet in G4:
[15] kubernetes,future [15] future,vms [15] vms,containers [15] containers,hypervisor [15] hypervisor,#bigdata [15] #bigdata,#analytics [15] #analytics,#datascience [15] #datascience,#ai [15] #ai,#machinelearning [15] #machinelearning,#kubernetes Top Word Pairs in Tweet in G5:
[5] #pytorch,#python [4] use,case [4] case,selection [4] selection,make [4] make,break [4] break,ai [4] ai,strategy [4] strategy,healthcare [4] healthcare,zdnet [4] zdnet,#deeplearning Top Replied-To in Entire Graph:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6: