The graph represents a network of 4,628 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, 02 September 2022 at 05:15 UTC.
The requested start date was Friday, 02 September 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 122-day, 2-hour, 9-minute period from Monday, 02 May 2022 at 15:00 UTC to Thursday, 01 September 2022 at 17:09 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 : 4628
Unique Edges : 5782
Edges With Duplicates : 12652
Total Edges : 18434
Number of Edge Types : 5
MentionsInRetweet : 8485
Replies to : 999
Mentions : 4497
Retweet : 4178
Tweet : 275
Self-Loops : 324
Reciprocated Vertex Pair Ratio : 0.028382502543235
Reciprocated Edge Ratio : 0.0551983381145514
Connected Components : 104
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 4371
Maximum Edges in a Connected Component : 18024
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.611862
Graph Density : 0.000472079722959391
Modularity : 0.36674
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 4,628 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, 02 September 2022 at 05:15 UTC.
The requested start date was Friday, 02 September 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 122-day, 2-hour, 9-minute period from Monday, 02 May 2022 at 15:00 UTC to Thursday, 01 September 2022 at 17:09 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:
[1037] women's,leadership [914] opening,#vvhq [895] leadership,more [895] vitalvoices,need [894] need,women's [894] more,hillaryclinton [893] hillaryclinton,opening [520] women,leadership [495] global,hq [492] hq,women Top Word Pairs in Tweet in G2:
[107] women,leaders [97] vitalvoices,global [75] global,headquarters [71] vital,voices [69] vitalvoices,#vvhq [67] opening,vitalvoices [56] opening,#vvhq [53] vitalvoices,hq [53] washington,dc [49] women's,leadership 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:
[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 G7:
[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 G8:
[8] ndi,suluhusamia [8] suluhusamia,ikulumawasliano [8] ikulumawasliano,ambdmitchell [8] ambdmitchell,birgittaohlsson [8] birgittaohlsson,iknow_politics [8] iknow_politics,maendeleoyajami [8] maendeleoyajami,wildaftz [8] wildaftz,vitalvoices [6] nothing,done [6] done,sex Top Word Pairs in Tweet in G9:
[29] ril_foundation,vitalvoices [23] #womenleadindia,fellowship [22] social,sector [21] reliance,foundation [20] #womenempowerment,aim [20] aim,nurture [20] nurture,#womenleaders [20] #womenleaders,social [20] sector,ril_foundation [20] vitalvoices,launching Top Word Pairs in Tweet in G10:
[17] vital,voices [4] voices,global [4] amplify,vital [3] women,leaders [3] women,leadership [3] go,away [3] global,headquarters [3] global,partnership [2] women's,leadership [2] presidential,election 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: