The graph represents a network of 89 Twitter users whose recent tweets contained "#scgop OR #scdems OR #lif4sc OR #sclife", 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 Monday, 01 August 2022 at 11:23 UTC.
The tweets in the network were tweeted over the 9-day, 8-hour, 29-minute period from Friday, 22 July 2022 at 12:31 UTC to Sunday, 31 July 2022 at 21:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : 89
Unique Edges : 163
Edges With Duplicates : 18
Total Edges : 181
Number of Edge Types : 5
Tweet : 3
Retweet : 58
MentionsInRetweet : 83
Mentions : 32
Replies to : 5
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0.0429447852760736
Reciprocated Edge Ratio : 0.0823529411764706
Connected Components : 9
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 42
Maximum Edges in a Connected Component : 107
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.478497
Graph Density : 0.02170582226762
Modularity : 0.651262
NodeXL Version : 1.0.1.449
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=279774
Data Import : The graph represents a network of 89 Twitter users whose recent tweets contained "#scgop OR #scdems OR #lif4sc OR #sclife", 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 Monday, 01 August 2022 at 11:23 UTC.
The tweets in the network were tweeted over the 9-day, 8-hour, 29-minute period from Friday, 22 July 2022 at 12:31 UTC to Sunday, 31 July 2022 at 21:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : #scgop OR #scdems OR #lif4sc OR #sclife
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 Color : In-Degree
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[50] #scpol,#scdems [31] #greenwoodsc,#scpol [21] south,carolina [19] joecunninghamsc,tonight [19] tonight,man [19] man,south [19] carolina,columbia [19] columbia,excited [19] excited,vote [19] vote,november Top Word Pairs in Tweet in G1:
[34] #scpol,#scdems [31] #greenwoodsc,#scpol [18] join,kmforsenate [18] kmforsenate,virtually [18] virtually,digital [18] digital,campaign [18] campaign,kickoff [18] kickoff,tuesday [18] tuesday,brings [18] brings,energy Top Word Pairs in Tweet in G2:
[2] #southcarolina,being [2] being,represented [2] represented,mickmulvaney [2] mickmulvaney,repjeffduncan [2] repjeffduncan,reptimmons [2] reptimmons,#january6th [2] #january6th,#scpol [2] #scpol,#sc03 [2] #sc03,#sc04 [2] #sc04,#january6thcommitteehearings Top Word Pairs in Tweet in G3:
[16] joecunninghamsc,tonight [16] tonight,man [16] man,south [16] south,carolina [16] carolina,columbia [16] columbia,excited [16] excited,vote [16] vote,november [16] november,#scpol [16] #scpol,#scdems Top Word Pairs in Tweet in G4:
[6] lindseygrahamsc,senatortimscott [6] #gop,#scgop [5] memories,cowardly [5] cowardly,law [5] law,order [5] order,conservatives [5] conservatives,exist [5] exist,long [5] long,people [5] people,decomposing Top Word Pairs in Tweet in G5:
[4] global,crisis [4] crisis,governing [4] governing,crisis [4] crisis,#scgop [4] #scgop,#scpoli [2] biden,plans [2] plans,forgiving [2] forgiving,student [2] student,loans [2] loans,votes Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: