The graph represents a network of 192 Twitter users whose recent tweets contained "#LegoForImprovement", 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 Sunday, 31 March 2019 at 16:22 UTC.
The tweets in the network were tweeted over the 3-day, 21-hour, 24-minute period from Wednesday, 27 March 2019 at 18:07 UTC to Sunday, 31 March 2019 at 15:32 UTC.
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 : 192
Unique Edges : 459
Edges With Duplicates : 424
Total Edges : 883
Self-Loops : 69
Reciprocated Vertex Pair Ratio : 0.0802348336594912
Reciprocated Edge Ratio : 0.148550724637681
Connected Components : 24
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 148
Maximum Edges in a Connected Component : 827
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.86692
Graph Density : 0.0150523560209424
Modularity : 0.376312
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[123] #legoforimprovement,#quality2019 [34] saral0ng,the_rheum_doc [29] leadership,lego [26] #quality2019,#legoforimprovement [26] #quality2019,qualityforum [24] the_rheum_doc,saral0ng [22] stand,28 [17] lego,#legoforimprovement [16] #legoforimprovement,session [16] 28,#quality2019 Top Word Pairs in Tweet in G1:
[54] #legoforimprovement,#quality2019 [27] saral0ng,the_rheum_doc [21] stand,28 [20] leadership,lego [16] 28,#quality2019 [14] #legoforimprovement,session [14] 1000liveswales,the_rheum_doc [13] #quality2019,1000liveswales [12] conversations,leadership [12] #legoforimprovement,1000liveswales Top Word Pairs in Tweet in G2:
[43] #legoforimprovement,#quality2019 [15] #quality2019,qualityforum [12] the_rheum_doc,saral0ng [7] saral0ng,the_rheum_doc [7] using,lego [6] great,session [6] #quality2019,#legoforimprovement [6] quality,improvement [5] qualityforum,#quality2019 [5] lego,#legoforimprovement Top Word Pairs in Tweet in G3:
[6] #legoforimprovement,#quality2019 [2] #quality2019,#legoforimprovement Top Word Pairs in Tweet in G4:
[10] #quality2019,#quality19 [10] nodexl,qualityforum [10] qualityforum,helenbevan [10] helenbevan,theihi [10] theihi,jasonleitch [10] jasonleitch,donberwick [10] donberwick,derekfeeleyihi [10] derekfeeleyihi,clairog [10] clairog,horizonsnhs [10] #glasgow,#legoforimprovement Top Word Pairs in Tweet in G5:
[9] leader,ship [8] thank,#legoforimprovement [5] ship,presentation [5] presentation,incorporating [5] incorporating,fun [5] fun,excited [5] excited,share [5] share,new [5] new,learning [5] learning,1000lives Top Word Pairs in Tweet in G6:
[7] #legoforimprovement,#quality2019 [5] brains,lego [5] lego,removes [5] removes,hierarchy [5] hierarchy,assumptions [5] assumptions,#legoforimprovement [4] lego,leadership [4] leadership,speak [4] speak,head [4] head,heart Top Word Pairs in Tweet in G7:
[3] lego_group,legoideas [2] built,stand [2] stand,two [2] two,xbox [2] xbox,controllers [2] controllers,tv [2] tv,remote [2] remote,out [2] out,#lego [2] #lego,#functionallegobuilds Top Word Pairs in Tweet in G8:
[4] #legoforimprovement,#quality2019 [2] leader,ship [2] ship,mine [2] mine,photo [2] photo,#legoforimprovement [2] coletteo,lynseymccloy [2] lynseymccloy,jude_cain Top Word Pairs in Tweet in G9:
[2] leadership,lego [2] lego,#legoforimprovement [2] #legoforimprovement,#seriousplay [2] #seriousplay,npsands [2] npsands,vickimumford1 [2] vickimumford1,saraquarrie Top Word Pairs in Tweet in G10:
[4] #quality2019,#legoforimprovement [4] #legoforimprovement,#quality2019 [3] geef,mensen [3] mensen,zakje [3] zakje,lego [3] lego,mooie [3] mooie,gesprekken [3] gesprekken,komen [3] komen,op [3] op,gang Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: