The graph represents a network of 630 Twitter users whose recent tweets contained "#scpolitics", 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 Friday, 07 February 2020 at 18:44 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 2-minute period from Thursday, 30 January 2020 at 15:31 UTC to Friday, 07 February 2020 at 18:33 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 : 630
Unique Edges : 609
Edges With Duplicates : 957
Total Edges : 1566
Number of Edge Types : 5
Mentions : 364
Tweet : 120
Retweet : 662
MentionsInRetweet : 407
Replies to : 13
Self-Loops : 121
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 19
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 550
Maximum Edges in a Connected Component : 1442
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.440728
Graph Density : 0.0019506901859843
Modularity : 0.410048
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 630 Twitter users whose recent tweets contained "#scpolitics", 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 Friday, 07 February 2020 at 18:44 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 2-minute period from Thursday, 30 January 2020 at 15:31 UTC to Friday, 07 February 2020 at 18:33 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 : #scpolitics
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[814] #scpolitics,#nvpolitics [794] #p2,#1u [789] #capolitics,#scpolitics [697] #iapolitics,#iacaucus [692] #copolitics,#capolitics [671] #bernie2020,#medicareforall [649] #iacaucus,#copolitics [628] #1u,#pda [555] #medicareforall,#p2 [466] #nhpolitics,#fitn Top Word Pairs in Tweet in G1:
[585] #scpolitics,#nvpolitics [580] #p2,#1u [574] #capolitics,#scpolitics [508] #copolitics,#capolitics [502] #bernie2020,#medicareforall [501] #iapolitics,#iacaucus [474] #iacaucus,#copolitics [462] #1u,#pda [397] #medicareforall,#p2 [341] #nhpolitics,#fitn Top Word Pairs in Tweet in G2:
[239] #scpolitics,#scpol [232] delivered,letter [189] lindseygrahamsc,senatortimscott [89] #sc04,#scpolitics [74] #scpol,write [70] #sc01,#scpolitics [66] senatortimscott,#sc04 [64] letter,betsy [64] betsy,spartanburg [64] spartanburg,lindseygrahamsc Top Word Pairs in Tweet in G3:
[56] jaime,harrison [56] harrison,#scsen [56] #scpol,#scpolitics [56] #democrats,#progressives [51] defeat,lindsey [51] lindsey,graham [51] graham,#election2020 [51] #election2020,nov [51] nov,support [51] support,jaime Top Word Pairs in Tweet in G4:
[48] #capolitics,#scpolitics [48] #scpolitics,#nvpolitics [47] #p2,#1u [46] #iapolitics,#iacaucus [39] #medicareforall,#p2 [38] #iacaucus,#copolitics [37] #1u,#pda [37] #copolitics,#capolitics [33] #bernie2020,#medicareforall [32] #nhpolitics,#fitn Top Word Pairs in Tweet in G5:
[153] #scpolitics,#nvpolitics [144] #p2,#1u [144] #capolitics,#scpolitics [132] #iapolitics,#iacaucus [126] #iacaucus,#copolitics [126] #copolitics,#capolitics [121] #bernie2020,#medicareforall [116] #1u,#pda [110] #medicareforall,#p2 [84] #nhpolitics,#fitn Top Word Pairs in Tweet in G6:
[8] sister,amp [8] amp,family [8] family,came [8] came,over [8] over,amp [8] amp,made [8] made,delicious [8] delicious,potato [8] potato,corn [8] corn,chowder Top Word Pairs in Tweet in G7:
[22] #mapoli,#nhpolitics [21] #nhpolitics,#iapolitics [21] #iapolitics,#scpolitics [19] holly,robichaud [19] tune,listen [19] listen,online [19] online,#mapoli [12] wrko680,thekuhnerreport [7] iowa,stopped [7] stopped,pocahontas Top Word Pairs in Tweet in G8:
[2] #scsen,#scleg [2] #scleg,#scpol [2] #scpol,#scpolitics [2] #scpolitics,#sctweets [2] #sctweets,southcarolina [2] #sc,unitebluesc [2] unitebluesc,unitewomensc [2] unitewomensc,charleston [2] charleston,sc [2] sc,indivisiblesc_2 Top Word Pairs in Tweet in G9:
[19] #p2,#1u [19] #copolitics,#capolitics [19] #capolitics,#scpolitics [19] #scpolitics,#nvpolitics [17] #iapolitics,#iacaucus [15] bernie,sanders [14] #nhpolitics,#iapolitics [13] #bernie2020,#medicareforall [12] #1u,#pda [10] #iacaucus,#copolitics Top Word Pairs in Tweet in G10:
[7] joebiden,event [7] event,#burlington [7] #burlington,#iowa [7] #iowa,morning [7] morning,talking [7] talking,smears [7] smears,against [7] against,military [7] military,heros [7] heros,amp Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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 Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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: