The graph represents a network of 4,826 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, 04 June 2021 at 05:26 UTC.
The requested start date was Friday, 04 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 94-day, 14-hour, 57-minute period from Monday, 01 March 2021 at 03:47 UTC to Thursday, 03 June 2021 at 18:44 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 : 4826
Unique Edges : 7093
Edges With Duplicates : 11664
Total Edges : 18757
Number of Edge Types : 5
MentionsInRetweet : 7600
Mentions : 6947
Retweet : 3469
Tweet : 235
Replies to : 506
Self-Loops : 273
Reciprocated Vertex Pair Ratio : 0.0255541307931856
Reciprocated Edge Ratio : 0.0498347771724569
Connected Components : 61
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 4715
Maximum Edges in a Connected Component : 18603
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.960252
Graph Density : 0.000480858218329472
Modularity : 0.437511
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,826 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, 04 June 2021 at 05:26 UTC.
The requested start date was Friday, 04 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 94-day, 14-hour, 57-minute period from Monday, 01 March 2021 at 03:47 UTC to Thursday, 03 June 2021 at 18:44 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:
[273] vitalvoices,women [205] women,leaders [164] theamandagorman,vitalvoices [161] 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:
[15] krishnapooniain,hiranimanjeet [13] hiranimanjeet,#smitabansal [13] digital,mentoring [13] vitalvoices,youtube [12] youtube,theamandagorman [11] #smitabansal,closing [11] closing,session [11] session,digital [9] mentoring,walk [9] brilliant,heart Top Word Pairs in Tweet in G8:
[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 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:
[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 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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