The graph represents a network of 4,752 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, 28 May 2021 at 05:25 UTC.
The requested start date was Friday, 28 May 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 87-day, 13-hour, 43-minute period from Monday, 01 March 2021 at 03:47 UTC to Thursday, 27 May 2021 at 17:30 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 : 4752
Unique Edges : 6968
Edges With Duplicates : 11101
Total Edges : 18069
Number of Edge Types : 5
Retweet : 3398
MentionsInRetweet : 7257
Mentions : 6705
Tweet : 225
Replies to : 484
Self-Loops : 263
Reciprocated Vertex Pair Ratio : 0.0249253174010456
Reciprocated Edge Ratio : 0.0486383094999545
Connected Components : 61
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 4641
Maximum Edges in a Connected Component : 17915
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.952741
Graph Density : 0.000486296700251657
Modularity : 0.44348
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,752 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, 28 May 2021 at 05:25 UTC.
The requested start date was Friday, 28 May 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 87-day, 13-hour, 43-minute period from Monday, 01 March 2021 at 03:47 UTC to Thursday, 27 May 2021 at 17:30 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:
[990] white,house [987] down,street [987] street,white [987] house,40x40 [987] 40x40,version [987] version,painting [987] painting,theamandagorman [987] theamandagorman,covers [987] covers,facade [986] hillaryclinton,down Top Word Pairs in Tweet in G1:
[977] down,street [977] street,white [977] white,house [977] house,40x40 [977] 40x40,version [977] version,painting [977] painting,theamandagorman [977] theamandagorman,covers [977] covers,facade [976] hillaryclinton,down Top Word Pairs in Tweet in G2:
[269] vitalvoices,women [204] women,leaders [164] theamandagorman,vitalvoices [162] women,voices [159] way,women [158] voices,matter [158] matter,level [158] level,#iwd2021 [158] #iwd2021,remember [158] remember,obstacles Top Word Pairs in Tweet in G3:
[743] particular,conflict [743] ethnic,cleansing [742] conflict,started [742] started,look [742] look,more [742] more,more [742] more,example [742] cleansing,rape [741] example,ethnic [672] rape,being Top Word Pairs in Tweet in G4:
[82] csehng,vitalvoices [62] usandmumbai,un_women [61] sheroesindia,alysenelson [61] alysenelson,ayushi1611 [61] ayushi1611,connectforcf [61] connectforcf,mkbksh_ [61] mkbksh_,usandmumbai [60] global,mentoring [58] pinthecreep,sheroesindia [58] mentoring,walk Top Word Pairs in Tweet in G5:
[147] one,survivor [147] survivor,recounted [147] recounted,10 [147] 10,day [147] day,ordeal [147] ordeal,women [147] women,gang [147] gang,raped [147] raped,eritrean [147] eritrean,soldiers Top Word Pairs in Tweet in G6:
[5] mohnaansari,parents4future [5] parents4future,educannotwait [5] educannotwait,rupadash [5] rupadash,vitalvoices [5] engaging,men [4] check,#sayftychat [4] #sayftychat,today [4] today,gaildavvis [4] gaildavvis,vitalvoices [4] vitalvoices,deeyah_khan Top Word Pairs in Tweet in G7:
[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 G8:
[26] march,2021 [26] 2021,celebrate [26] celebrate,women [26] women,strategies [26] strategies,tell [26] tell,outstanding [26] outstanding,women [26] women,network [25] strategies_,march [21] network,20â Top Word Pairs in Tweet in G9:
[4] gt,gt [2] kasiitamark,vitalvoices [2] vitalvoices,mogcsp_ghana [2] mogcsp_ghana,cmghana [2] cmghana,lopezekra [2] lopezekra,whoafro [2] whoafro,canhcghana [2] canhcghana,actionaidghana [2] actionaidghana,gptoendfgm [2] gptoendfgm,jp_lawson Top Word Pairs in Tweet in G10:
[12] ipasorg,guttmacher [12] guttmacher,unwomenwatch [9] unwomenwatch,womenadvocates [9] womenadvocates,vitalvoices [9] vitalvoices,woman_kind [9] woman_kind,thegenderwire [8] join,solidarity [7] #turkeyisnotsafeforwomen,#istanbulconventionsaveslives [6] polycomgirls1,umande_trust [6] umande_trust,kewasnet Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: