The graph represents a network of 548 Twitter users whose tweets in the requested range contained "nicar", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 26 March 2019 at 05:20 UTC.
The requested start date was Tuesday, 26 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, 14-hour, 1-minute period from Tuesday, 12 March 2019 at 00:04 UTC to Monday, 25 March 2019 at 14:05 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 : 548
Unique Edges : 986
Edges With Duplicates : 248
Total Edges : 1234
Number of Edge Types : 3
Mentions : 1063
Replies to : 112
Tweet : 59
Self-Loops : 59
Reciprocated Vertex Pair Ratio : 0.0637204522096608
Reciprocated Edge Ratio : 0.119806763285024
Connected Components : 47
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 446
Maximum Edges in a Connected Component : 1127
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.253813
Graph Density : 0.00345280828407104
Modularity : 0.621046
NodeXL Version : 1.0.1.409
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[23] evacide,neenahyena [22] dontclickonthat,evacide [22] neenahyena,created [22] created,workshop [22] workshop,newsroom [22] newsroom,assessing [22] assessing,footprint [22] footprint,online [22] online,removing [21] removing,sensi Top Word Pairs in Tweet in G1:
[9] voxdotcom,ire_nicar [7] kavyasukumar,voxdotcom [7] ire_nicar,ryanmark [7] watchdog,workshop [6] thanks,ire_nicar [6] ire_nicar,journal [5] ire_nicar,freelancer [5] freelancer,fellowship [5] fellowship,2008 [5] 2008,helped Top Word Pairs in Tweet in G2:
[8] mapping,r [7] post,nicar19 [6] taps,nerd [6] nerd,mic [6] mic,being [6] being,inspired [6] inspired,abtran's [6] abtran's,nicar [6] nicar,crash [6] crash,course Top Word Pairs in Tweet in G3:
[10] veritasfdn,ire_nicar [10] 4,5 [8] journalism,event [8] event,3rd [8] 3rd,annual [8] annual,veritasfdn [8] ire_nicar,toronto [8] toronto,conference [8] conference,coming [8] coming,up Top Word Pairs in Tweet in G4:
[8] nabj,nahj [8] nahj,najournalists [8] aaja,nlgja [7] job,metro [7] metro,reporter [7] reporter,statesman [7] statesman,cc [7] cc,ire_nicar [7] ire_nicar,nabj [7] najournalists,aaja Top Word Pairs in Tweet in G5:
[23] evacide,neenahyena [22] dontclickonthat,evacide [22] neenahyena,created [22] created,workshop [22] workshop,newsroom [22] newsroom,assessing [22] assessing,footprint [22] footprint,online [22] online,removing [21] removing,sensi Top Word Pairs in Tweet in G6:
[8] data,journalism [5] mother,data [5] journalism,conferences [5] conferences,ire_nicar's [5] ire_nicar's,nicar19 [5] nicar19,wrapped [5] wrapped,last [5] last,weekend [5] weekend,four [5] four,days Top Word Pairs in Tweet in G7:
[2] best,find [2] find,day [2] oposi,p [2] p,e [2] e,em [2] em,d [2] d,vida [2] vida,continuidade [2] continuidade,di [2] di,logo Top Word Pairs in Tweet in G8:
[6] juditecypreste,ire_nicar [6] ire_nicar,nataliamazotte [6] nataliamazotte,albertocairo [6] mikestucka,melissawm [5] melissawm,juditecypreste [5] albertocairo,robroc [2] robroc,mikestucka [2] melissawm,ire_nicar [2] ire_nicar,albertocairo Top Word Pairs in Tweet in G9:
[7] tell,reporters [7] reporters,states [7] states,boeing [7] boeing,ruling [7] ruling,believe [7] believe,possibly [7] possibly,true [6] davidmcswane,tell [4] very,cool [4] cool,ire_nicar Top Word Pairs in Tweet in G10:
[5] varsity,blues [5] blues,scandal [5] scandal,reveals [5] reveals,troubling [5] troubling,blind [5] blind,spot [5] spot,college [5] college,admissions [5] admissions,coverage [5] coverage,collegeadmissionscandal 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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