The graph represents a network of 27 Twitter users whose recent tweets contained "#PRWConvene", 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, 22 April 2020 at 18:48 UTC.
The tweets in the network were tweeted over the 6-day, 20-hour, 15-minute period from Wednesday, 15 April 2020 at 22:16 UTC to Wednesday, 22 April 2020 at 18:32 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 : 27
Unique Edges : 38
Edges With Duplicates : 38
Total Edges : 76
Number of Edge Types : 3
Mentions : 49
Tweet : 3
MentionsInRetweet : 24
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0.0697674418604651
Reciprocated Edge Ratio : 0.130434782608696
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 24
Maximum Edges in a Connected Component : 74
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.302926
Graph Density : 0.0655270655270655
Modularity : 0.262076
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 27 Twitter users whose recent tweets contained "#PRWConvene", 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, 22 April 2020 at 18:48 UTC.
The tweets in the network were tweeted over the 6-day, 20-hour, 15-minute period from Wednesday, 15 April 2020 at 22:16 UTC to Wednesday, 22 April 2020 at 18:32 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #PRWConvene
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[11] #prwconvene,#purpose [9] learn,industry [9] industry,leaders [9] leaders,communicating [9] communicating,during [9] during,coronavirus [9] zenogroup,reptrak [8] register,#covid19 [8] #covid19,#pr [8] #pr,#prwconvene Top Word Pairs in Tweet in G1:
[6] right,kyliewf [5] companies,doing [5] doing,help [4] kyliewf,reptrak [4] reptrak,#prwconvene [3] making,100 [3] 100,percent [3] percent,decisions [3] decisions,right [3] right,50 Top Word Pairs in Tweet in G2:
[3] testing,purpose [3] purpose,path [3] path,forward [3] #prwconvene,#purpose [2] during,#prwconvene [2] taking,care [2] learn,industry [2] industry,leaders [2] leaders,communicating [2] communicating,during Top Word Pairs in Tweet in G3:
[6] #prwconvene,#purpose [5] join,22 [5] 22,learn [5] learn,industry [5] industry,leaders [5] leaders,communicating [5] communicating,during [5] during,coronavirus [5] coronavirus,register [5] register,#covid19 Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: