The graph represents a network of 2,618 Twitter users whose recent tweets contained "#409K", 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 Thursday, 09 January 2020 at 21:01 UTC.
The tweets in the network were tweeted over the 5-hour, 31-minute period from Thursday, 09 January 2020 at 14:56 UTC to Thursday, 09 January 2020 at 20:28 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 : 2618
Unique Edges : 3308
Edges With Duplicates : 434
Total Edges : 3742
Number of Edge Types : 5
Retweet : 1707
Replies to : 685
MentionsInRetweet : 357
Tweet : 768
Mentions : 225
Self-Loops : 777
Reciprocated Vertex Pair Ratio : 0.00107681263460158
Reciprocated Edge Ratio : 0.00215130871280029
Connected Components : 592
Single-Vertex Connected Components : 485
Maximum Vertices in a Connected Component : 1843
Maximum Edges in a Connected Component : 2963
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.766063
Graph Density : 0.000407075672871712
Modularity : 0.621841
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2,618 Twitter users whose recent tweets contained "#409K", 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 Thursday, 09 January 2020 at 21:01 UTC.
The tweets in the network were tweeted over the 5-hour, 31-minute period from Thursday, 09 January 2020 at 14:56 UTC to Thursday, 09 January 2020 at 20:28 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 : #409K
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:
[414] #409k,#409k [392] voted,trump [215] realdonaldtrump,raided [215] raided,#409k [215] #409k,cash [215] cash,buy [215] buy,truckload [215] truckload,adderall [198] trump,dumb [197] #idiotinchief,#409k Top Word Pairs in Tweet in G1:
[176] realdonaldtrump,raided [176] raided,#409k [176] #409k,cash [176] cash,buy [176] buy,truckload [176] truckload,adderall [97] realdonaldtrump,swing [97] swing,miss [97] miss,#409k [72] realdonaldtrump,#409k Top Word Pairs in Tweet in G2:
[14] #409k,doing [10] giddy,giddy [9] 409k,#409k [8] #409k,trending [7] stock,market [6] #409k,#409k [6] 70,80 [6] doing,wrong [5] #409k,#trump [5] beach,boys Top Word Pairs in Tweet in G3:
[66] cash,#409k [61] inquiring,minds [61] minds,know [61] know,trump [61] trump,cult [61] cult,members [61] members,409k [61] 409k,gained [61] gained,70 [61] 70,80 Top Word Pairs in Tweet in G4:
[306] voted,trump [153] racists,voted [153] trump,sees [153] sees,white [153] white,people [153] people,being [153] being,superior [153] superior,billionaires [153] billionaires,voted [153] voted,greedy Top Word Pairs in Tweet in G5:
[120] white,rich [67] great,again [60] gop,#409k [60] #409k,plan [60] plan,maga [60] maga,white [60] rich,back [60] back,invested [60] invested,black [60] black,imprisoned Top Word Pairs in Tweet in G6:
[405] #409k,#409k [10] 409,kilograms [10] kilograms,901 [10] 901,691 [10] 691,pounds [10] gtconway3d,#409k [9] #409k,refers [9] refers,#trumps [9] #trumps,weight [8] weight,honest Top Word Pairs in Tweet in G7:
[104] trump,confuses [104] confuses,name [104] name,retirement [104] retirement,account [104] account,kitchen [104] kitchen,cleaner [104] cleaner,republicans [104] republicans,credit [104] credit,economy [104] economy,#obamaseconomy Top Word Pairs in Tweet in G8:
[77] #sniffymcadderall,used [77] used,#409k [77] #409k,buy [77] buy,smocking [77] smocking,gun [77] gun,full [77] full,covfefe [77] covfefe,flavored [77] flavored,hamberders [77] hamberders,#impotus Top Word Pairs in Tweet in G9:
[70] omggggggggggggggggggggggawd,#trump [70] #trump,made [70] made,typo [70] typo,world [70] world,ennnnnnddddddddd [70] ennnnnnddddddddd,#409k [70] #409k,bringing [70] bringing,attention [70] attention,#401k's [70] #401k's,charts Top Word Pairs in Tweet in G10:
[53] check,see [53] see,far [53] far,#409k [10] voted,trump [6] trump,confuses [6] confuses,name [6] name,retirement [6] retirement,account [6] account,kitchen [6] kitchen,cleaner Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: