The graph represents a network of 18,949 Twitter users whose recent tweets contained "Census", 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 Thursday, 15 August 2019 at 21:23 UTC.
The tweets in the network were tweeted over the 2-day, 7-hour, 29-minute period from Tuesday, 13 August 2019 at 13:16 UTC to Thursday, 15 August 2019 at 20:45 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 : 18949
Unique Edges : 22885
Edges With Duplicates : 3876
Total Edges : 26761
Self-Loops : 3185
Reciprocated Vertex Pair Ratio : 0.0146379756187662
Reciprocated Edge Ratio : 0.028853593046011
Connected Components : 2796
Single-Vertex Connected Components : 1438
Maximum Vertices in a Connected Component : 12046
Maximum Edges in a Connected Component : 18342
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.03321
Graph Density : 6.11983458861103E-05
Modularity : 0.801054
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[6782] percent,black [4512] u,s [4032] s,census [3608] voter,registrations [3512] according,u [3505] s,population [3490] census,list [3489] s,office [3486] georgia,s [3486] population,approximately Top Word Pairs in Tweet in G1:
[6464] percent,black [3232] georgia,s [3232] s,population [3232] population,approximately [3232] approximately,32 [3232] 32,percent [3232] black,according [3232] according,u [3232] u,s [3232] s,census Top Word Pairs in Tweet in G2:
[1261] holiday,census [1231] imagine,giving [1231] giving,kenyans [1231] kenyans,holiday [1231] census,thinking [1231] thinking,ll [1231] ll,find [1231] find,home [447] love,time [447] time,census Top Word Pairs in Tweet in G3:
[168] 2020,census [141] census,bureau [119] u,s [84] s,census [42] citizenship,question [42] trump,officials [41] census,data [39] officials,send [39] send,mixed [39] mixed,signals Top Word Pairs in Tweet in G4:
[283] census,bureau [151] 2020,census [139] u,s [116] s,census [108] seats,congress [105] up,seats [105] unauthorized,immigrants [103] trump,administration [102] 200,years [102] officials,raised Top Word Pairs in Tweet in G5:
[650] voter,fraud [343] voter,id [333] census,data [317] registered,voters [315] according,new [315] new,study [315] data,america [315] america,more [315] more,registered [315] voters,actual Top Word Pairs in Tweet in G6:
[117] census,exercise [110] #kenyacensus2019,#jitokezeuhesabike [75] august,2019 [71] 24th,august [71] census,enumerators [71] upcoming,census [68] #jitokezeuhesabike,#data4kenya [65] 2019,census [64] during,census [59] enumerators,training Top Word Pairs in Tweet in G7:
[65] undercount,hispanics [64] federal,funding [64] u,s [60] census,bureau [57] 2020,census [52] s,census [46] 1,2 [44] 37,states [44] photo,id [43] child,family Top Word Pairs in Tweet in G8:
[132] james,shaw [95] stats,nz [80] dec,2016 [67] simon,bridges [55] stats,minister [54] 2018,census [48] mark,mitchell [48] scott,simpson [46] minister,statistics [45] craig,foss Top Word Pairs in Tweet in G9:
[269] head,household [269] american,born [264] wondering,#resistancegenealogy [264] #resistancegenealogy,born [264] born,spend [264] spend,days [264] days,looking [264] looking,documents [264] documents,page [264] page,1905 Top Word Pairs in Tweet in G10:
[289] counted,census [288] illegals,counted [288] u,s [288] needs,done [287] census,elected [287] elected,congress [287] congress,sponsor [287] sponsor,bill [287] bill,require [287] require,states 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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