The graph represents a network of 23 Twitter users whose tweets in the requested range contained "#SMSociety", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 21 April 2021 at 05:08 UTC.
The requested start date was Wednesday, 21 April 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 74-day, 17-hour, 47-minute period from Thursday, 04 February 2021 at 09:54 UTC to Tuesday, 20 April 2021 at 03:42 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 : 23
Unique Edges : 38
Edges With Duplicates : 72
Total Edges : 110
Number of Edge Types : 4
Retweet : 14
MentionsInRetweet : 58
Tweet : 1
Mentions : 37
Self-Loops : 1
Reciprocated Vertex Pair Ratio : 0.166666666666667
Reciprocated Edge Ratio : 0.285714285714286
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 17
Maximum Edges in a Connected Component : 99
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.581538
Graph Density : 0.124505928853755
Modularity : 0.26312
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 23 Twitter users whose tweets in the requested range contained "#SMSociety", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 21 April 2021 at 05:08 UTC.
The requested start date was Wednesday, 21 April 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 74-day, 17-hour, 47-minute period from Thursday, 04 February 2021 at 09:54 UTC to Tuesday, 20 April 2021 at 03:42 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 : GraphServerTwitterSearch
Graph Term : #SMSociety
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:
[13] #smsociety,nodexl [13] nodexl,docassar [8] docassar,smlabto [8] smlabto,albertoemachado [8] albertoemachado,vivianfrancos [8] vivianfrancos,elcoaching [7] docassar,#smsociety [6] still,figure [6] figure,enjoys [6] enjoys,swing Top Word Pairs in Tweet in G1:
[11] #smsociety,nodexl [11] nodexl,docassar [7] docassar,#smsociety [7] docassar,smlabto [7] smlabto,albertoemachado [7] albertoemachado,vivianfrancos [7] vivianfrancos,elcoaching [4] docassar,vivianfrancos [4] vivianfrancos,smlabto [4] smlabto,elcoaching Top Word Pairs in Tweet in G2:
[6] still,figure [6] figure,enjoys [6] enjoys,swing [6] swing,panicking [6] panicking,#smsociety [5] ethanolfree90,still Top Word Pairs in Tweet in G3:
[2] #smsociety,nodexl [2] nodexl,docassar [2] top,hashtags [2] hashtags,#smsociety [2] #featuredpanel,#socialmedia [2] #socialmedia,#metoo [2] #metoo,#newpaper [2] #newpaper,#cfp [2] #cfp,#socmed [2] #socmed,#data Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: