The graph represents a network of 960 Twitter users whose recent tweets contained "#bikeweek2019", 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 Wednesday, 26 June 2019 at 17:30 UTC.
The tweets in the network were tweeted over the 9-day, 19-hour, 40-minute period from Sunday, 16 June 2019 at 21:42 UTC to Wednesday, 26 June 2019 at 17:22 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 : 960
Unique Edges : 1471
Edges With Duplicates : 410
Total Edges : 1881
Self-Loops : 148
Reciprocated Vertex Pair Ratio : 0.0639943741209564
Reciprocated Edge Ratio : 0.120290812954395
Connected Components : 93
Single-Vertex Connected Components : 36
Maximum Vertices in a Connected Component : 661
Maximum Edges in a Connected Component : 1528
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.449332
Graph Density : 0.00164342196732708
Modularity : 0.628004
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[117] bike,week [64] events,happening [60] check,diary [60] diary,#bikeweek2019 [59] part,solution [58] bikeweekie,cycling [57] #bikesforchange,#bikeweek2019 [57] wherever,go [56] solution,part [56] part,pollution Top Word Pairs in Tweet in G1:
[55] check,diary [55] diary,#bikeweek2019 [55] events,happening [55] bikeweekie,cycling [53] part,solution [53] wherever,go [52] take,bike [52] bike,wherever [51] reduce,greenhouse [51] greenhouse,gas Top Word Pairs in Tweet in G2:
[33] bike,week [18] well,done [13] week,2019 [13] part,#bikeweek2019 [12] o'connell,street [12] infrastructure,plan [12] read,limerick [12] limerick,cycling [12] cycling,campaign [11] need,cycling Top Word Pairs in Tweet in G3:
[36] 31,students [36] students,2nd [36] 2nd,last [36] last,day [36] day,school [36] school,finishing [36] finishing,high [36] high,#bikeweek2019 [36] #bikeweek2019,#velocity2019 [36] #velocity2019,#vc19 Top Word Pairs in Tweet in G4:
[2] ricca_19,rebashoenfelt1 [2] rebashoenfelt1,billqarmy4 [2] billqarmy4,leeperdig [2] leeperdig,brown_eyedladyj [2] brown_eyedladyj,symplsymin [2] symplsymin,thetruthistell1 [2] thetruthistell1,bethlahem16 Top Word Pairs in Tweet in G5:
[14] bike,week [11] national,bike [8] bike,maintenance [8] maintenance,safety [7] safety,information [7] information,session [7] know,national [7] week,sdublincoco [7] sdublincoco,number [7] number,events Top Word Pairs in Tweet in G6:
[17] one,photo [17] photo,showcase [17] showcase,cycling [17] cycling,cork [17] cork,daily [17] daily,basis [17] basis,corkcitycouncil [16] sammccormack97,one [10] research,published [10] published,scientific Top Word Pairs in Tweet in G7:
[8] bike,week [8] cycle,wednesday [7] #bikesforchange,#bikeweek2019 [7] celebrate,cycling [7] cycling,free [7] free,events [7] events,sunday [7] sunday,23rd [7] 23rd,1pm [7] 1pm,ennis Top Word Pairs in Tweet in G8:
[3] #bikeweek,#bikeweek2019 [2] bike,week [2] #bikeweekwpg,#bikeweek2019 [2] #bike,#bikeweek2019 [2] #bikeweek2019,#bikeweek [2] hemos,visto [2] visto,gente [2] gente,ruta [2] ruta,carril [2] carril,bici Top Word Pairs in Tweet in G9:
[11] pit,stop [9] stop,bikeweekwpg [9] bikeweekwpg,pit [9] stop,norwood [9] norwood,bridge [9] bridge,fuel [9] fuel,up [9] up,coffee [9] coffee,snacks [9] snacks,#mbpoli Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: