The graph represents a network of 910 Twitter users whose tweets in the requested range contained "marc_smith", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 13 October 2022 at 21:50 UTC.
The requested start date was Thursday, 13 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 11-minute period from Thursday, 29 September 2022 at 00:49 UTC to Thursday, 13 October 2022 at 00:00 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 : 910
Unique Edges : 1108
Edges With Duplicates : 1009
Total Edges : 2117
Number of Edge Types : 5
Tweet : 162
Retweet : 258
MentionsInRetweet : 490
Replies to : 226
Mentions : 981
Self-Loops : 165
Reciprocated Vertex Pair Ratio : 0.0390567428150332
Reciprocated Edge Ratio : 0.075177304964539
Connected Components : 204
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 103
Maximum Edges in a Connected Component : 787
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.304749
Graph Density : 0.0017045660610017
Modularity : 0.597021
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 910 Twitter users whose tweets in the requested range contained "marc_smith", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 13 October 2022 at 21:50 UTC.
The requested start date was Thursday, 13 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 11-minute period from Thursday, 29 September 2022 at 00:49 UTC to Thursday, 13 October 2022 at 00:00 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 : GraphServerTwitterSearch
Graph Term : marc_smith
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:
[147] fokkerdude,james_r_smith [97] î,î [76] james_r_smith,marc_leibowitz [74] marc_leibowitz,fokkerdude [66] james_r_smith,mysteriosox [62] mysteriosox,motonutjob [60] only9built,fokkerdude [55] marc,smith [50] only9built,marc_leibowitz [32] 2nd,best Top Word Pairs in Tweet in G1:
[147] fokkerdude,james_r_smith [76] james_r_smith,marc_leibowitz [74] marc_leibowitz,fokkerdude [66] james_r_smith,mysteriosox [62] mysteriosox,motonutjob [60] only9built,fokkerdude [50] only9built,marc_leibowitz [17] #browncaroftheday,today [17] today,marc_leibowitz [17] fight,#browncaroftheday Top Word Pairs in Tweet in G2:
[29] chapter,published [28] research,methods [27] social,media [27] sage,handbook [20] methods,chapter [19] media,research [19] chapter,examines [19] handbook,social [19] great,chapter [19] published,sage Top Word Pairs in Tweet in G3:
[28] dave,asprey [17] marc,anthony [15] bad,bunny [14] #411,dave [14] shane,smith [14] stanley,krippner [14] amy,schumer [14] asprey,tait [14] #441,brian [14] fletcher,#358 Top Word Pairs in Tweet in G4:
[2] suruj24870769,marc_smith_dr [2] wl,perfect Top Word Pairs in Tweet in G5:
[32] 2nd,best [31] เก,บรางว [31] zach,rama [31] rowan,2nd [31] andrew,rowan [31] บรางว,ลส [31] best,server [31] น,องๆอ [31] mvp,best [31] องๆอ,สา Top Word Pairs in Tweet in G6:
[2] marc_anthony_sr,c1apss Top Word Pairs in Tweet in G7:
[3] ortega,smith [2] negro,ortega_smith [2] certificado,digital [2] informe,final [2] vox_es,eltorotv [2] ip,peritos [2] vocal,vecino [2] macarena_olona,informada [2] sl,empresa [2] unosolosipuede,ortega_smith Top Word Pairs in Tweet in G9:
[5] dave,smith [4] fake,libertarian [4] marc,victor [4] smith,fake [4] ran,senate [3] libertarian,ran [3] victor,libertarian [3] libertarian,marc [2] paul,movement [2] libertybeks,jaystooksberry Top Word Pairs in Tweet in G10:
[12] image,likeness [12] monetize,name [12] nil,opportunities [12] name,image [12] desire,monetize [12] likeness,nil [12] athlete,desire [12] student,athlete [12] collegiate,student [11] theicon1901,collegiate Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G3:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: