The graph represents a network of 2,327 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, 11 June 2021 at 05:22 UTC.
The requested start date was Friday, 11 June 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 70-day, 12-hour, 12-minute period from Thursday, 01 April 2021 at 05:22 UTC to Thursday, 10 June 2021 at 17:34 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 : 2327
Unique Edges : 3960
Edges With Duplicates : 4685
Total Edges : 8645
Number of Edge Types : 5
Mentions : 4471
Retweet : 1272
MentionsInRetweet : 2584
Replies to : 168
Tweet : 150
Self-Loops : 170
Reciprocated Vertex Pair Ratio : 0.0222303206997085
Reciprocated Edge Ratio : 0.04349376114082
Connected Components : 31
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 2261
Maximum Edges in a Connected Component : 8542
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.958295
Graph Density : 0.00103647007483646
Modularity : 0.448565
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,327 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, 11 June 2021 at 05:22 UTC.
The requested start date was Friday, 11 June 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 70-day, 12-hour, 12-minute period from Thursday, 01 April 2021 at 05:22 UTC to Thursday, 10 June 2021 at 17:34 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:
[804] ethnic,cleansing [802] started,look [802] look,more [802] more,more [802] more,example [802] cleansing,rape [801] particular,conflict [801] example,ethnic [800] conflict,started [728] rape,being Top Word Pairs in Tweet in G1:
[701] ethnic,cleansing [700] started,look [700] look,more [700] more,more [700] more,example [700] cleansing,rape [699] particular,conflict [699] example,ethnic [698] conflict,started [648] rape,being Top Word Pairs in Tweet in G2:
[82] sexual,violence [78] deeply,concerned [78] war,tigray [77] concerned,grave [77] grave,human [77] human,suffering [77] suffering,including [77] including,sexual [77] violence,resulting [77] resulting,war Top Word Pairs in Tweet in G3:
[19] #safecity,pinthecreep [15] invest,women [15] pleased,part [15] part,#globalpeacechampions [15] #globalpeacechampions,peers [15] peers,iac_berlin [15] iac_berlin,#genderalliance [15] #genderalliance,women [15] women,peace [14] elsamariedsilva,pleased Top Word Pairs in Tweet in G4:
[146] one,survivor [146] survivor,recounted [146] recounted,10 [146] 10,day [146] day,ordeal [146] ordeal,women [146] women,gang [146] gang,raped [146] raped,eritrean [146] eritrean,soldiers Top Word Pairs in Tweet in G5:
[9] secblinken,usambun [8] rapporteurun,wfuna [8] wfuna,secblinken [8] usambun,sebastien_nadot [8] sebastien_nadot,chrisguilhou [8] chrisguilhou,asstsecstateaf [7] gladysfoncham,snwot4 [6] asstsecstateaf,stated [4] gt,gt [4] snwot4,ndefonbeatrice Top Word Pairs in Tweet in G6:
[7] women,entrepreneurs [7] check,global [7] sharon,chiarella [6] calling,women [6] entrepreneurs,weempowersdg [6] weempowersdg,#sdg [6] #sdg,challenge [6] live,check [5] women,tech [4] social,entrepreneur Top Word Pairs in Tweet in G7:
[19] vitalvoices,week [19] week,#vitalvoicespodcast [19] #vitalvoicespodcast,co [19] co,founder [19] founder,bbog_nigeria [19] bbog_nigeria,obyezeks [19] obyezeks,joined [19] joined,alysenelson [19] alysenelson,discuss [19] discuss,leader Top Word Pairs in Tweet in G8:
[5] mohnaansari,parents4future [5] parents4future,educannotwait [5] educannotwait,rupadash [5] rupadash,vitalvoices [4] check,#sayftychat [4] #sayftychat,today [4] today,gaildavvis [4] gaildavvis,vitalvoices [4] vitalvoices,deeyah_khan [4] deeyah_khan,kentpage Top Word Pairs in Tweet in G9:
[23] report,stage [23] stage,financial [23] financial,services [23] services,bill [23] bill,ukhouseoflords [23] ukhouseoflords,next [23] next,week [23] week,please [23] please,support [23] support,#ukmortgageprisoners Top Word Pairs in Tweet in G10:
[11] codhem,rosariopiedraib [11] rosariopiedraib,vitalvoices [9] vitalvoices,_30jr40_ [4] palmiratapia,_vicenteserrano [4] _vicenteserrano,codhem [4] guerrero,luz [4] luz,permanece [4] permanece,indiferente [4] indiferente,ante [4] ante,injusticia 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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