The graph represents a network of 5,072 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, 03 June 2022 at 05:16 UTC.
The requested start date was Friday, 03 June 2022 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 121-day, 9-hour, 27-minute period from Tuesday, 01 February 2022 at 06:19 UTC to Thursday, 02 June 2022 at 15:47 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 : 5072
Unique Edges : 6173
Edges With Duplicates : 13281
Total Edges : 19454
Number of Edge Types : 5
MentionsInRetweet : 8774
Mentions : 4969
Retweet : 4436
Tweet : 297
Replies to : 978
Self-Loops : 349
Reciprocated Vertex Pair Ratio : 0.0307913669064748
Reciprocated Edge Ratio : 0.0597431602456728
Connected Components : 110
Single-Vertex Connected Components : 73
Maximum Vertices in a Connected Component : 4724
Maximum Edges in a Connected Component : 18866
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.722718
Graph Density : 0.000417805334595744
Modularity : 0.381609
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,072 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, 03 June 2022 at 05:16 UTC.
The requested start date was Friday, 03 June 2022 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 121-day, 9-hour, 27-minute period from Tuesday, 01 February 2022 at 06:19 UTC to Thursday, 02 June 2022 at 15:47 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:
[1163] women's,leadership [1014] opening,#vvhq [970] hillaryclinton,opening [969] leadership,more [968] vitalvoices,need [965] need,women's [965] more,hillaryclinton [696] vitalvoices,global [645] women,leadership [616] opening,vitalvoices Top Word Pairs in Tweet in G1:
[1050] women's,leadership [915] opening,#vvhq [898] vitalvoices,need [896] leadership,more [896] more,hillaryclinton [895] need,women's [895] hillaryclinton,opening [504] women,leadership [484] global,hq [483] hq,women Top Word Pairs in Tweet in G2:
[114] women,leaders [98] vitalvoices,global [83] global,headquarters [75] vital,voices [68] vitalvoices,#vvhq [67] opening,vitalvoices [55] washington,dc [54] opening,#vvhq [52] vitalvoices,hq [51] women's,leadership Top Word Pairs in Tweet in G3:
[446] tigrayan,women [357] ethiopian,eritrean [354] women,victims [354] victims,weaponized [354] weaponized,rape [354] rape,ethiopian [354] eritrean,troops [354] troops,under [354] under,siege [354] siege,left Top Word Pairs in Tweet in G4:
[90] hillaryclinton,vitalvoices [72] obyezeks,vitalvoices [72] cspan,hillaryclinton [68] vitalvoices,opening [68] opening,headquarters [67] know,quite [67] quite,ironic [67] ironic,week [67] week,opening [66] opening,know Top Word Pairs in Tweet in G5:
[31] afghan,women [29] georgetown,recognized [29] recognized,albanian [29] albanian,prime [29] prime,minister [29] minister,edi [29] edi,rama [29] rama,opening [29] opening,country [29] country,afghan Top Word Pairs in Tweet in G6:
[12] woman_kind,vitalvoices [9] vitalvoices,huairouconnect [8] femnetprog,woman_kind [7] human,choices [7] choices,cause [7] cause,crisis [7] crisis,lets [7] lets,unite [7] unite,solve [7] solve,crisis Top Word Pairs in Tweet in G7:
[5] amber,heard [5] vip,guest [5] vital,voices [4] usatoday,ncadv [4] paveinfo,vitalvoices [3] chessy,prout [3] ncadv,paveinfo [3] hillary,clinton [3] kellyesorelle,rich94975903 [2] tied,#amberheardlsaliar Top Word Pairs in Tweet in G8:
[54] hr,join [54] 25,30 [54] 30,30p [54] 30p,#nft [54] #nft,sale [54] sale,renowned [54] renowned,women [54] women,artists [52] senecawomen,hr [48] join,anytime Top Word Pairs in Tweet in G9:
[9] #fellowshipopportunity,vvengage [9] vvengage,vitalvoices [9] vitalvoices,leadership [9] leadership,advance [9] advance,womenâ [9] womenâ,public [9] public,leadership [9] leadership,sdgs [8] verlainediane,#fellowshipopportunity [8] sdgs,applâ Top Word Pairs in Tweet in G10:
[9] vital,voices [7] #womenoftheworldunite,#vitalvoices [7] #vitalvoices,#womenleaders [7] #womenleaders,#ukrainepeace [7] #ukrainepeace,#werise [7] #werise,#womenshistorymonth [7] #womenshistorymonth,#womeninspiringwomen [6] #empowerwomen,#womenoftheworld [6] #womenoftheworld,#valuewomen [6] #valuewomen,#womenoftheworldunite Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: