The graph represents a network of 4,457 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, 26 August 2022 at 05:15 UTC.
The requested start date was Friday, 26 August 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 115-day, 4-hour, 4-minute period from Monday, 02 May 2022 at 15:00 UTC to Thursday, 25 August 2022 at 19:04 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 : 4457
Unique Edges : 5497
Edges With Duplicates : 12414
Total Edges : 17911
Number of Edge Types : 5
Mentions : 4281
Replies to : 969
MentionsInRetweet : 8308
Retweet : 4095
Tweet : 258
Self-Loops : 307
Reciprocated Vertex Pair Ratio : 0.0283934979945113
Reciprocated Edge Ratio : 0.0552191316842862
Connected Components : 98
Single-Vertex Connected Components : 63
Maximum Vertices in a Connected Component : 4210
Maximum Edges in a Connected Component : 17513
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.596525
Graph Density : 0.000490574405580716
Modularity : 0.36142
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 4,457 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, 26 August 2022 at 05:15 UTC.
The requested start date was Friday, 26 August 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 115-day, 4-hour, 4-minute period from Monday, 02 May 2022 at 15:00 UTC to Thursday, 25 August 2022 at 19:04 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:
[1152] women's,leadership [1026] opening,#vvhq [978] hillaryclinton,opening [977] leadership,more [975] vitalvoices,need [974] need,women's [973] more,hillaryclinton [683] vitalvoices,global [661] women,leadership [625] opening,vitalvoices Top Word Pairs in Tweet in G1:
[1019] women's,leadership [896] opening,#vvhq [882] leadership,more [882] vitalvoices,need [881] need,women's [881] more,hillaryclinton [880] hillaryclinton,opening [509] women,leadership [484] global,hq [481] hq,women Top Word Pairs in Tweet in G2:
[109] vitalvoices,global [106] women,leaders [80] global,headquarters [79] opening,vitalvoices [72] vital,voices [70] opening,#vvhq [69] vitalvoices,#vvhq [68] women's,leadership [68] washington,dc [60] vitalvoices,hq Top Word Pairs in Tweet in G3:
[85] hillaryclinton,vitalvoices [74] 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:
[356] weaponized,rape [354] tigrayan,women [354] women,victims [354] victims,weaponized [354] rape,ethiopian [354] ethiopian,eritrean [354] eritrean,troops [354] troops,under [354] under,siege [354] siege,left Top Word Pairs in Tweet in G5:
[9] vitalvoices,woman_kind [7] human,choices [7] choices,cause [7] cause,crisis [7] crisis,lets [7] lets,unite [7] unite,solve [7] solve,crisis [7] crisis,#leavenowomanbehind [7] #leavenowomanbehind,#sheleads Top Word Pairs in Tweet in G6:
[6] nothing,done [6] done,sex [6] sex,workers [6] workers,killed [6] killed,thing [6] thing,ask [6] ask,payments [6] payments,autopsy [6] autopsy,raiding [6] raiding,streets Top Word Pairs in Tweet in G7:
[9] weconnection,vitalvoices [9] raengnews,engwomen [8] ibilola_amao,kstate_wie [8] kstate_wie,_engineeringuk [8] _engineeringuk,raengnews [8] engwomen,apwen_ng [8] apwen_ng,myengineers [8] myengineers,afbe_uk [8] afbe_uk,weconnection [8] vitalvoices,iwecawards Top Word Pairs in Tweet in G8:
[77] vitalvoices,global [63] women,leadership [52] opening,vitalvoices [46] global,headquarters [42] headquarters,women [35] global,hq [33] women's,leadership [31] leadership,more [29] never,forgiving [29] forgiving,those Top Word Pairs in Tweet in G9:
[2] marcuscohenshit,heetstweets [2] heetstweets,tracyconnor [2] tracyconnor,katie_m_baker [2] katie_m_baker,mandy_velez [2] mandy_velez,theebrockway [2] theebrockway,kevinhechtkopf [2] kevinhechtkopf,jfkucinich [2] jfkucinich,mepfuller [2] mepfuller,matthewt_ny [2] matthewt_ny,kpfallon Top Word Pairs in Tweet in G10:
[15] vital,voices [4] amplify,vital [3] women,leaders [3] women,leadership [3] go,away [3] voices,global [3] global,headquarters [2] women's,leadership [2] presidential,election [2] change,world 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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