The graph represents a network of 2,326 Twitter users whose tweets in the requested range contained "vitalvoices", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 31 July 2020 at 05:27 UTC.
The requested start date was Friday, 31 July 2020 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 90-day, 12-hour, 16-minute period from Friday, 01 May 2020 at 09:00 UTC to Thursday, 30 July 2020 at 21:16 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 : 2326
Unique Edges : 3824
Edges With Duplicates : 7747
Total Edges : 11571
Number of Edge Types : 5
Retweet : 1440
MentionsInRetweet : 4401
Mentions : 5001
Replies to : 579
Tweet : 150
Self-Loops : 178
Reciprocated Vertex Pair Ratio : 0.0677297975273249
Reciprocated Edge Ratio : 0.126866923980534
Connected Components : 47
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 2101
Maximum Edges in a Connected Component : 11159
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.050974
Graph Density : 0.0011018962823251
Modularity : 0.380772
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,326 Twitter users whose tweets in the requested range contained "vitalvoices", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 31 July 2020 at 05:27 UTC.
The requested start date was Friday, 31 July 2020 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 90-day, 12-hour, 16-minute period from Friday, 01 May 2020 at 09:00 UTC to Thursday, 30 July 2020 at 21:16 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 : vitalvoices
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:
[189] women,leaders [154] globalfundwomen,womendeliver [153] vitalvoices,globalfundwomen [151] ungambia,vitalvoices [150] sitesconscience,ungambia [140] allgirlsagenda,sitesconscience [124] vital,voices [105] women,girls [101] vitalvoices,alysenelson [101] sorrynotsorry,alyssa_milano Top Word Pairs in Tweet in G1:
[84] women,leaders [73] women,girls [45] vital,voices [40] against,women [39] learn,more [37] violence,against [33] girls,increased [32] around,world [32] increased,#covid19 [32] #covid19,outbreak Top Word Pairs in Tweet in G2:
[101] sorrynotsorry,alyssa_milano [100] alyssa_milano,vitalvoices [85] women,leaders [66] vitalvoices,alysenelson [55] vitalvoices,alyssa_milano [52] women,lead [42] lead,world [42] world,changes [40] changes,episode [40] episode,alyssa_milano Top Word Pairs in Tweet in G3:
[18] asugreen,vitalvoices [17] weempowersdg,congratulations [16] #sdg,challenge [12] weempowersdg,vitalvoices [12] #weempower,#sdg [12] asuglobalfuture,vitalvoices [11] #women,#leaders [11] congratulations,nduchwa [10] #sustainability,#solutionaries [9] thrilled,announce Top Word Pairs in Tweet in G4:
[19] 100,women [19] women,using [18] upcoming,book [15] using,#powertoempower [15] against,women [15] alysenelson,schemaly [14] honor,speaking [14] speaking,online [14] online,harassment [14] harassment,against Top Word Pairs in Tweet in G5:
[153] vitalvoices,globalfundwomen [153] globalfundwomen,womendeliver [151] ungambia,vitalvoices [150] sitesconscience,ungambia [140] allgirlsagenda,sitesconscience [16] aminatajaiteh5,allgirlsagenda [14] #transitionaljustice,#justiceandpeace4everyone [12] covid,19 [11] religious,tribal [11] promundo_us,vitalvoices Top Word Pairs in Tweet in G6:
[14] vitalvoices,weconnection [14] ibilola_amao,lonadekinc [14] energyinstitute,einigeria [10] ibilola_amao,haroldsinnott [10] haroldsinnott,ronke_onadeko [10] ronke_onadeko,seyiafolabi6 [10] seyiafolabi6,tianaimafidon [10] tianaimafidon,emekaokoye [10] emekaokoye,breakgasceiling [10] breakgasceiling,dez_blanchfield Top Word Pairs in Tweet in G7:
[20] honored,team [19] zainab,hameed [19] hameed,bobboi [19] bobboi,teenager [19] teenager,voice [19] voice,always [19] always,using [19] using,honored [18] climateactiont3,zainab [14] #vvengage,fellow Top Word Pairs in Tweet in G8:
[82] daughter,danielle [82] danielle,fatima [82] fatima,sharaf [82] sharaf,receives [82] receives,united [82] united,nations [82] nations,empower [82] empower,sdg [82] sdg,challenge [82] challenge,award Top Word Pairs in Tweet in G9:
[87] vitalvoices,drjdrooghaag [85] lorimoreno,sdg2030 [85] sdg2030,sayftycom [85] sayftycom,chavivohra [66] chavivohra,laurenmaille [54] laurenmaille,nevillegaunt [46] drjdrooghaag,lorimoreno [41] drjdrooghaag,amandaray02 [41] amandaray02,lorimoreno [35] adamrogers2030,vitalvoices Top Word Pairs in Tweet in G10:
[2] hrc,vitalvoices [2] lets,empower [2] empower,young [2] young,girls [2] girls,10 [2] 10,50 [2] 50,change [2] change,lives [2] lives,womendeliver [2] womendeliver,youth_tjn 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 Tweeters in Entire Graph:
Top Tweeters in G1:
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