The graph represents a network of 4,993 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, 27 May 2022 at 05:16 UTC.
The requested start date was Friday, 27 May 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 114-day, 9-hour, 57-minute period from Tuesday, 01 February 2022 at 06:19 UTC to Thursday, 26 May 2022 at 16:17 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 : 4993
Unique Edges : 6092
Edges With Duplicates : 13106
Total Edges : 19198
Number of Edge Types : 5
Retweet : 4394
MentionsInRetweet : 8697
Mentions : 4852
Replies to : 964
Tweet : 291
Self-Loops : 341
Reciprocated Vertex Pair Ratio : 0.0306796116504854
Reciprocated Edge Ratio : 0.0595327807083647
Connected Components : 109
Single-Vertex Connected Components : 73
Maximum Vertices in a Connected Component : 4660
Maximum Edges in a Connected Component : 18636
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.712455
Graph Density : 0.000425916796335382
Modularity : 0.38144
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,993 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, 27 May 2022 at 05:16 UTC.
The requested start date was Friday, 27 May 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 114-day, 9-hour, 57-minute period from Tuesday, 01 February 2022 at 06:19 UTC to Thursday, 26 May 2022 at 16:17 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 [1010] opening,#vvhq [970] hillaryclinton,opening [969] leadership,more [968] vitalvoices,need [965] need,women's [965] more,hillaryclinton [695] vitalvoices,global [640] women,leadership [615] opening,vitalvoices Top Word Pairs in Tweet in G1:
[1052] women's,leadership [914] opening,#vvhq [899] vitalvoices,need [897] leadership,more [897] more,hillaryclinton [896] need,women's [896] hillaryclinton,opening [501] women,leadership [482] global,hq [481] hq,women Top Word Pairs in Tweet in G2:
[108] women,leaders [97] vitalvoices,global [82] global,headquarters [75] vital,voices [68] vitalvoices,#vvhq [66] opening,vitalvoices [54] washington,dc [51] opening,#vvhq [51] vitalvoices,hq [49] women's,leadership Top Word Pairs in Tweet in G3:
[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 G4:
[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 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:
[10] woman_kind,vitalvoices [7] vitalvoices,huairouconnect [7] human,choices [7] choices,cause [7] cause,crisis [7] crisis,lets [7] lets,unite [7] unite,solve [7] solve,crisis [7] crisis,#leavenowomanbehind 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:
[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 G9:
[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 Word Pairs in Tweet in G10:
[75] vitalvoices,global [61] women,leadership [50] opening,vitalvoices [45] global,headquarters [42] headquarters,women [33] global,hq [29] never,forgiving [29] forgiving,those [29] those,didn [29] didn,vote 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:
Top Tweeters in G1:
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Top Tweeters in G10: