The graph represents a network of 1,469 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 Saturday, 23 March 2019 at 07:42 UTC.
The requested start date was Thursday, 21 March 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 15-minute period from Thursday, 07 March 2019 at 00:17 UTC to Wednesday, 20 March 2019 at 23:33 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 : 1469
Unique Edges : 2826
Edges With Duplicates : 1426
Total Edges : 4252
Number of Edge Types : 3
Mentions : 3768
Replies to : 179
Tweet : 305
Self-Loops : 305
Reciprocated Vertex Pair Ratio : 0.0417641162712997
Reciprocated Edge Ratio : 0.0801796023091726
Connected Components : 263
Single-Vertex Connected Components : 103
Maximum Vertices in a Connected Component : 656
Maximum Edges in a Connected Component : 3193
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.193727
Graph Density : 0.00144586671316193
Modularity : 0.564822
NodeXL Version : 1.0.1.409
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[152] marc,anthony [120] bad,bunny [117] helene_wpli,yuhelenyu [116] rise,fall [116] fall,10 [116] 10,biggest [116] biggest,cities [116] cities,world [116] world,1500 [116] 1500,economy Top Word Pairs in Tweet in G1:
[39] nodexl,marc_smith [30] nodexl,nodexl [27] social,media [27] nodexl,statmaven [26] top,hashtags [22] gt,gt [21] marc_smith,nodexl [19] docassar,nodexl [18] statmaven,docassar [16] docassar,marc_smith Top Word Pairs in Tweet in G2:
[55] rtehrani,jeffreybuskey [55] jeffreybuskey,jeffkagan [55] jeffkagan,jeffreyfeldberg [55] jeffreyfeldberg,cgledhill [55] cgledhill,mvollmer1 [51] stevejobs,rtehrani [49] 5,rules [49] rules,design [49] design,according [49] according,stevejobs Top Word Pairs in Tweet in G3:
[106] helene_wpli,yuhelenyu [105] alvinfoo,rise [105] rise,fall [105] fall,10 [105] 10,biggest [105] biggest,cities [105] cities,world [105] world,1500 [105] 1500,economy [105] economy,gdp Top Word Pairs in Tweet in G4:
[120] marc,anthony [107] bad,bunny [79] smith,bad [60] anthony,smith [60] está,rico [30] bunny,está [25] ft,marc [25] anthony,bad [24] smith,ft [23] rico,marc Top Word Pairs in Tweet in G5:
[6] shep,smith [3] foxnews,weekend [3] weekend,anchors [3] anchors,arthelneville [3] arthelneville,lelandvittert [3] lelandvittert,trained [3] trained,cnn [3] cnn,prior [3] prior,ratings [3] ratings,collapse Top Word Pairs in Tweet in G6:
[42] wisin,yandel [42] yandel,tienen [42] tienen,hasta [42] hasta,22 [42] 22,ghetto [42] ghetto,z [42] z,l [42] l,hasta [42] hasta,abril [42] abril,miky Top Word Pairs in Tweet in G7:
[19] marc_smith,avkwong [17] full,300 [17] 300,page [17] page,social [17] social,media [17] media,report [17] report,ifad2018 [17] ifad2018,meeting [17] meeting,amsterdam [17] amsterdam,out Top Word Pairs in Tweet in G8:
[8] ortega,smith [5] very,grateful [5] grateful,ethanz [5] ethanz,recommending [5] recommending,social [5] social,machine [5] machine,judithd [5] judithd,especially [5] especially,inspired [5] inspired,newgroup Top Word Pairs in Tweet in G9:
[2] bonecrusher,gets [2] gets,win [2] win,fights [2] fights,back [2] back,tears [2] tears,speaks [2] speaks,danhardymma [2] danhardymma,well [2] well,fought [2] fought,marc_diakiese Top Word Pairs in Tweet in G10:
[26] marc,staal [23] nyr,coach [23] coach,quinn [23] quinn,marc [23] staal,flu [23] flu,play [23] play,tonight [23] tonight,vs [23] vs,det [23] det,lias Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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