The graph represents a network of 1,432 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 Friday, 22 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, 18-hour, 34-minute period from Thursday, 07 March 2019 at 00:17 UTC to Wednesday, 20 March 2019 at 18:52 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 : 1432
Unique Edges : 2725
Edges With Duplicates : 1385
Total Edges : 4110
Number of Edge Types : 3
Mentions : 3635
Tweet : 301
Replies to : 174
Self-Loops : 301
Reciprocated Vertex Pair Ratio : 0.0422145328719723
Reciprocated Edge Ratio : 0.0810092961487384
Connected Components : 259
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 634
Maximum Edges in a Connected Component : 3074
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.205595
Graph Density : 0.00146984762774791
Modularity : 0.566214
NodeXL Version : 1.0.1.409
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[149] marc,anthony [119] bad,bunny [100] rise,fall [100] fall,10 [100] 10,biggest [100] biggest,cities [100] cities,world [100] world,1500 [100] 1500,economy [100] economy,gdp Top Word Pairs in Tweet in G1:
[39] nodexl,marc_smith [27] social,media [25] top,hashtags [22] nodexl,nodexl [22] nodexl,statmaven [22] gt,gt [21] marc_smith,nodexl [19] docassar,nodexl [16] twitter,socialmedia [16] socialmedia,networks 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:
[119] marc,anthony [106] bad,bunny [78] smith,bad [59] anthony,smith [59] está,rico [30] bunny,está [25] ft,marc [25] anthony,bad [24] smith,ft [22] rico,marc Top Word Pairs in Tweet in G4:
[89] alvinfoo,rise [89] rise,fall [89] fall,10 [89] 10,biggest [89] biggest,cities [89] cities,world [89] world,1500 [89] 1500,economy [89] economy,gdp [89] gdp,emergingmarkets 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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