The graph represents a network of 4,984 Twitter users whose tweets in the requested range contained "aclu", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 05 November 2019 at 10:29 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 59-minute period from Friday, 01 November 2019 at 20:43 UTC to Saturday, 02 November 2019 at 21:42 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 : 4984
Unique Edges : 7757
Edges With Duplicates : 15952
Total Edges : 23709
Number of Edge Types : 3
Mentions : 21213
Tweet : 695
Replies to : 1801
Self-Loops : 695
Reciprocated Vertex Pair Ratio : 0.0298577093538605
Reciprocated Edge Ratio : 0.0579841449603624
Connected Components : 529
Single-Vertex Connected Components : 281
Maximum Vertices in a Connected Component : 3754
Maximum Edges in a Connected Component : 22251
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.927398
Graph Density : 0.000355542713605069
Modularity : 0.326056
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,984 Twitter users whose tweets in the requested range contained "aclu", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 05 November 2019 at 10:29 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 59-minute period from Friday, 01 November 2019 at 20:43 UTC to Saturday, 02 November 2019 at 21:42 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : aclu
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[647] mj1dav,kemaha [647] kemaha,aclu [421] rithcee,mj1dav [329] collecting,data [328] aclu,fbi [326] currently,collecting [325] rose6vxx,rithcee [323] fbi,currently [323] data,faces [323] faces,irises Top Word Pairs in Tweet in G1:
[308] currently,collecting [308] collecting,data [306] aclu,fbi [305] fbi,currently [305] data,faces [305] faces,irises [305] irises,walking [305] walking,patterns [305] patterns,voices [305] voices,permitting Top Word Pairs in Tweet in G2:
[126] aclu,hhsgov [43] transequality,hhsgov [20] foster,care [20] libertarian_z3,aclu [19] hhsgov,aclu [17] brazenlyliberal,aclu [17] turn,away [17] aclu,benandjerrys [17] benandjerrys,reparationscomm [17] reparationscomm,aclu_sc Top Word Pairs in Tweet in G3:
[302] turns,out [302] out,everybody [302] everybody,needs [302] needs,mask [302] mask,happy [302] happy,halloween [301] snowden,turns [12] south,dakota [10] dakota,pay [10] pay,145 Top Word Pairs in Tweet in G4:
[53] facial,recognition [52] aclu,sues [37] recognition,technology [27] sues,federal [27] federal,government [27] government,over [27] over,surveillance [27] surveillance,facial [16] aclu,taking [16] taking,feds Top Word Pairs in Tweet in G5:
[254] seeking,asylum [254] asylum,legal [254] legal,people [254] people,border [254] border,asking [254] asking,help [254] help,respond [254] respond,suffering [254] suffering,allow [253] kaykosmos,seeking Top Word Pairs in Tweet in G6:
[37] here,s [37] s,washingtonpost [37] washingtonpost,article [37] article,one [37] one,day [37] day,realdonaldtrump [37] realdonaldtrump,s [37] s,inauguration [37] inauguration,clearly [37] clearly,#coupcabal Top Word Pairs in Tweet in G7:
[25] klasfeldreports,tracreports [25] tracreports,aclu [25] aclu,raicestexas [22] stlugal,klasfeldreports [17] raicestexas,found [17] found,896 [17] 896,906 [17] 906,applications [17] applications,relief [17] relief,present Top Word Pairs in Tweet in G8:
[129] breaking,senblumenthal [129] senblumenthal,shields [129] shields,llegal [129] llegal,connecticut [129] connecticut,courthouse [129] courthouse,ice [129] ice,removal [129] removal,according [129] according,aclu [129] aclu,agents Top Word Pairs in Tweet in G9:
[93] revdrbarber,acluofmichigan [85] act,challenge [85] challenge,love [85] love,each [85] each,unite [85] unite,doing [85] doing,aclu [85] aclu,revdrbarber [84] rashidatlaib,act [8] rashidatlaib,revdrbarber Top Word Pairs in Tweet in G10:
[13] put,#schoolsandcommunitiesfirst [8] pass,#prop13 [8] #prop13,reform [8] reform,invest [8] invest,communities [8] communities,put [8] #schoolsandcommunitiesfirst,reclaim [8] reclaim,12billion [8] 12billion,year [7] aclu,naacp 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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Top Tweeters in G10: