The graph represents a network of 17,524 Twitter users whose recent tweets contained "dominos", 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 Tuesday, 19 February 2019 at 21:36 UTC.
The tweets in the network were tweeted over the 3-day, 22-hour, 29-minute period from Friday, 15 February 2019 at 20:51 UTC to Tuesday, 19 February 2019 at 19:20 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 : 17524
Unique Edges : 21475
Edges With Duplicates : 6929
Total Edges : 28404
Self-Loops : 4175
Reciprocated Vertex Pair Ratio : 0.0678081832028993
Reciprocated Edge Ratio : 0.127004426955239
Connected Components : 4543
Single-Vertex Connected Components : 2790
Maximum Vertices in a Connected Component : 8725
Maximum Edges in a Connected Component : 19563
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.798087
Graph Density : 6.62057444233172E-05
Modularity : 0.650666
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1488] roger,stone [1486] judge,issued [1486] issued,gag [1486] gag,order [1486] order,against [1486] against,roger [1486] stone,sarah [1486] sarah,sanders [1485] boom,judge [1485] sanders,confirmed Top Word Pairs in Tweet in G1:
[748] thank,dominos [741] pizza,being [740] chucky,cheese [739] dominos,reusing [739] reusing,pizza [739] being,better [739] better,hiding [739] hiding,chucky [739] cheese,shanedawson [738] mia_thaicha,thank Top Word Pairs in Tweet in G2:
[273] dominos,pizza [146] domino,s [87] pizza,hut [81] derek,dominos [77] s,pizza [76] pizza,dominos [72] domino's,pizza [68] order,dominos [67] don,t [56] ordered,dominos Top Word Pairs in Tweet in G3:
[1482] boom,judge [1482] judge,issued [1482] issued,gag [1482] gag,order [1482] order,against [1482] against,roger [1482] roger,stone [1482] stone,sarah [1482] sarah,sanders [1482] sanders,confirmed Top Word Pairs in Tweet in G4:
[66] cs,team [61] care,team [52] team,look [43] dominos_uk,pizzahutuk [41] sorry,hear [40] pizzahutuk,papajohnsuk [37] scroobiuspipyo,dominos_uk [37] papajohnsuk,pizzagogo [36] formal,complaint [35] team,store Top Word Pairs in Tweet in G5:
[152] please,share [123] through,link [121] details,through [99] share,details [96] ಹ,ದ [81] sharing,details [81] dominos_india,narendramodi [81] narendramodi,pmo [81] pmo,swachhbharat [81] swachhbharat,dominos Top Word Pairs in Tweet in G6:
[158] repadamschiff,repswalwell [158] repswalwell,r [158] r,biggest [158] biggest,leakers [158] leakers,liars [158] liars,house [158] house,committee [158] committee,intel [158] intel,hold [158] hold,20 Top Word Pairs in Tweet in G7:
[27] dominos,pizzahut [23] pizza,hut [22] pizzahut,dominos [17] papajohns,dominos [17] yashar,dominos [16] dominos,pizza [14] dominos,papajohns [14] harveygallagher,runr_uk [14] runr_uk,ukrunchat [11] pizzahut,papajohns Top Word Pairs in Tweet in G8:
[110] 1,free [95] hai,bae [93] web,call [85] garlic,cheese [85] cheese,onion [85] onion,rings [73] flat,shaped [73] shaped,pizzas [73] pizzas,treat [73] treat,rm3 Top Word Pairs in Tweet in G9:
[68] fablemoineoff,fclorient [50] quel,geste [50] geste,quelle [50] quelle,frappe [50] frappe,et [50] et,quel [50] quel,fablemoineoff [50] fclorient,fclred [50] fclred,2 [50] 2,1 Top Word Pairs in Tweet in G10:
[179] way,hobi [179] hobi,pushed [179] pushed,seokjin [179] seokjin,single [179] single,fell [179] fell,dominos [179] dominos,still [179] still,remains [179] remains,beautiful [179] beautiful,funny 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: