The graph represents a network of 4,757 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, 10 June 2022 at 05:18 UTC.
The requested start date was Friday, 10 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 100-day, 13-hour, 15-minute period from Tuesday, 01 March 2022 at 05:25 UTC to Thursday, 09 June 2022 at 18:40 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 : 4757
Unique Edges : 5859
Edges With Duplicates : 12886
Total Edges : 18745
Number of Edge Types : 5
Mentions : 4652
Replies to : 961
MentionsInRetweet : 8647
Retweet : 4233
Tweet : 252
Self-Loops : 306
Reciprocated Vertex Pair Ratio : 0.0299149574787394
Reciprocated Edge Ratio : 0.0580920924810569
Connected Components : 96
Single-Vertex Connected Components : 62
Maximum Vertices in a Connected Component : 4495
Maximum Edges in a Connected Component : 18319
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.69245
Graph Density : 0.000454997663573295
Modularity : 0.379136
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,757 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, 10 June 2022 at 05:18 UTC.
The requested start date was Friday, 10 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 100-day, 13-hour, 15-minute period from Tuesday, 01 March 2022 at 05:25 UTC to Thursday, 09 June 2022 at 18:40 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:
[1150] women's,leadership [1013] opening,#vvhq [971] hillaryclinton,opening [970] leadership,more [969] vitalvoices,need [966] need,women's [966] more,hillaryclinton [681] vitalvoices,global [648] women,leadership [616] opening,vitalvoices Top Word Pairs in Tweet in G1:
[1064] women's,leadership [935] opening,#vvhq [919] leadership,more [919] vitalvoices,need [917] more,hillaryclinton [917] hillaryclinton,opening [916] need,women's [574] women,leadership [560] vitalvoices,global [530] opening,vitalvoices Top Word Pairs in Tweet in G2:
[100] women,leaders [98] vitalvoices,global [80] global,headquarters [70] vital,voices [69] opening,vitalvoices [67] vitalvoices,#vvhq [54] opening,#vvhq [53] vitalvoices,hq [52] washington,dc [50] women,leadership Top Word Pairs in Tweet in G3:
[406] tigrayan,women [356] weaponized,rape [355] ethiopian,eritrean [354] women,victims [354] victims,weaponized [354] rape,ethiopian [354] eritrean,troops [354] troops,under [354] under,siege [354] siege,left Top Word Pairs in Tweet in G4:
[72] obyezeks,vitalvoices [33] wall,vitalvoices [27] global,embassy [27] make,decisions [26] never,give [26] give,someone [26] someone,voice [26] voice,power [26] power,ability [26] ability,make Top Word Pairs in Tweet in G5:
[13] one,vital [13] vital,voices [13] voices,know [13] know,nadiamuradbasee [13] nadiamuradbasee,still [13] still,thinking [13] thinking,amazing [13] amazing,hq [13] hq,launch [13] launch,vitalvoices Top Word Pairs in Tweet in G6:
[33] vital,voices [29] vitalvoices,yesterday [29] yesterday,vital [29] voices,chief [29] chief,communications [29] communications,officer [29] officer,linda [29] linda,roth [29] roth,joined [29] joined,senator Top Word Pairs in Tweet in G7:
[12] woman_kind,vitalvoices [9] vitalvoices,huairouconnect [8] human,choices [8] choices,cause [8] cause,crisis [8] crisis,lets [8] lets,unite [8] unite,solve [8] solve,crisis [8] crisis,#leavenowomanbehind 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:
[15] vital,voices [13] amber,heard [12] letshearthetru,roaringrapids22 [11] roaringrapids22,vitalvoices [7] hillary,clinton [6] roaringrapids22,trust [6] trust,msm [6] msm,more [6] more,really [6] really,controlling Top Word Pairs in Tweet in G10:
[2] preciousnyaramb,gladysviban [2] africa_matters,africanbrains 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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Top Tweeters in G10: