The graph represents a network of 4,963 Twitter users whose tweets in the requested range contained "doula", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 07 January 2022 at 14:41 UTC.
The requested start date was Friday, 07 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 58-minute period from Friday, 24 December 2021 at 01:01 UTC to Friday, 07 January 2022 at 01:00 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 : 4963
Unique Edges : 3058
Edges With Duplicates : 5710
Total Edges : 8768
Number of Edge Types : 5
Tweet : 1795
Retweet : 2244
MentionsInRetweet : 2406
Mentions : 1098
Replies to : 1225
Self-Loops : 1889
Reciprocated Vertex Pair Ratio : 0.0333333333333333
Reciprocated Edge Ratio : 0.0645161290322581
Connected Components : 1449
Single-Vertex Connected Components : 732
Maximum Vertices in a Connected Component : 837
Maximum Edges in a Connected Component : 1830
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.349754
Graph Density : 0.000171198347010116
Modularity : 0.526752
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,963 Twitter users whose tweets in the requested range contained "doula", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 07 January 2022 at 14:41 UTC.
The requested start date was Friday, 07 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 58-minute period from Friday, 24 December 2021 at 01:01 UTC to Friday, 07 January 2022 at 01:00 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 : doula
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[438] maternal,health [432] know,recently [432] recently,became [432] became,doctor [432] doctor,decided [432] decided,go [432] go,unorthodox [432] unorthodox,path [432] path,maternal [356] deualmeidatawo,know Top Word Pairs in Tweet in G1:
[45] postpartum,doula [40] death,doula [28] za,duh [28] duh,ba [28] ba,doi [28] doi,bu [28] bu,doula [22] paula,chaves [15] uma,doula [15] misión,vida Top Word Pairs in Tweet in G2:
[429] know,recently [429] recently,became [429] became,doctor [429] doctor,decided [429] decided,go [429] go,unorthodox [429] unorthodox,path [429] path,maternal [429] maternal,health [353] deualmeidatawo,know Top Word Pairs in Tweet in G3:
[150] dara,doula [135] keupal,caisse [135] caisse,dara [135] doula,fek [135] fek,keupal [135] keupal,thiep [135] thiep,boum [135] boum,yi [135] yi,caméra [135] caméra,yi Top Word Pairs in Tweet in G4:
[46] program,guide [45] free,program [40] doula,training [30] govkathyhochul,#signa259as1414a [29] guide,lots [29] urging,govkathyhochul [29] #signa259as1414a,sponsored [26] info,doula [21] nyc,urging [16] lots,info Top Word Pairs in Tweet in G5:
[11] chris_doula,bilaraujjo [10] bilaraujjo,huashuashuashuas [8] julilipaiva06,bilaraujjo [6] bilaraujjo,não [6] vila,velha [6] modern,family [6] cil_britez,bilaraujjo [5] bilaraujjo,camilacomentaa [5] albertinadecar1,julilipaiva06 [4] ministério,saúde Top Word Pairs in Tweet in G6:
[141] paula,chaves [96] infobae,paula [77] chaves,época [77] época,decían [77] decían,mujeres [77] mujeres,buscan [77] buscan,polistas [77] polistas,casé [77] casé,productor [77] productor,ganaba Top Word Pairs in Tweet in G7:
[112] black,women [110] yall,black [110] women,need [110] need,doulas [110] doulas,dior [110] dior,black [110] black,woman [110] woman,doula [110] doula,experience [110] experience,yall Top Word Pairs in Tweet in G8:
[84] hoy,nacido [84] nacido,nuestro [84] nuestro,bebé [84] bebé,manuel [84] manuel,decidimos [84] decidimos,nacería [84] nacería,casa [84] casa,varios [84] varios,motivos [84] motivos,poca Top Word Pairs in Tweet in G9:
[67] need,doula [67] doula,black [67] black,mother [67] mother,naples [67] naples,children [67] children,takes [67] takes,care [67] care,needs [67] needs,stronger [67] stronger,support Top Word Pairs in Tweet in G10:
[22] cansé,mañana [22] mañana,hago [22] hago,curso [22] curso,doula [22] doula,paula [22] paula,ch [22] ch,empiezo [22] empiezo,facturar [22] facturar,serio [22] serio,total Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: