The graph represents a network of 1,498 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, 30 July 2021 at 05:24 UTC.
The requested start date was Friday, 30 July 2021 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 89-day, 11-hour, 42-minute period from Saturday, 01 May 2021 at 06:41 UTC to Thursday, 29 July 2021 at 18:24 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 : 1498
Unique Edges : 1984
Edges With Duplicates : 3534
Total Edges : 5518
Number of Edge Types : 5
Mentions : 2266
Retweet : 857
MentionsInRetweet : 2054
Tweet : 177
Replies to : 164
Self-Loops : 194
Reciprocated Vertex Pair Ratio : 0.0597495527728086
Reciprocated Edge Ratio : 0.112761647535449
Connected Components : 29
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 1447
Maximum Edges in a Connected Component : 5433
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.127162
Graph Density : 0.0013208437346433
Modularity : 0.417599
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,498 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, 30 July 2021 at 05:24 UTC.
The requested start date was Friday, 30 July 2021 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 89-day, 11-hour, 42-minute period from Saturday, 01 May 2021 at 06:41 UTC to Thursday, 29 July 2021 at 18:24 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:
[102] vital,voices [73] women,leaders [42] vitalvoices,sister [41] women,girls [41] wraglobal,maternityww [41] maternityww,wbg_health [41] wbg_health,maternova [41] maternova,vitalvoices [39] vitalvoices,proctergamble [37] nighealthwatch,gccnigeria Top Word Pairs in Tweet in G1:
[67] vital,voices [58] women,leaders [33] women,girls [26] greatest,challenges [19] girls,economically [19] believe,women [18] vitalvoices,women [18] women,communities [17] join,vital [17] see,magic Top Word Pairs in Tweet in G2:
[32] vitalvoices,proctergamble [21] mujeres,jóvenes [11] 16,mayo [11] proctergamble,colaborado [11] colaborado,lanzar [11] lanzar,beca [11] beca,exclusiva [11] exclusiva,#voicesqueinspiran [11] #voicesqueinspiran,mujeres [11] aplicar,beca Top Word Pairs in Tweet in G3:
[18] #safecity,pinthecreep [15] pleased,part [15] part,#globalpeacechampions [15] #globalpeacechampions,peers [15] peers,iac_berlin [15] iac_berlin,#genderalliance [15] #genderalliance,women [15] women,peace [14] elsamariedsilva,pleased [14] peace,secu Top Word Pairs in Tweet in G4:
[8] total,totalfoundation [8] totalfoundation,fondationtuck [8] fondationtuck,lonadekinc [8] lonadekinc,unwomenafrica [8] unwomenafrica,unwomenwatch [7] unwomenwatch,vitalvoices [6] sharon,chiarella [6] #voicesthatinspire,fellowship [6] vitalvoices,weconnection [6] energyinstitute,wie_network Top Word Pairs in Tweet in G5:
[25] cc,vitalvoices [11] feminists,movements [10] #vvengage,vitalvoices [10] listen,#whrds [10] #whrds,#mena [10] #mena,listen [10] listen,emerging [10] emerging,feminists [10] movements,gulf [10] gulf,listen Top Word Pairs in Tweet in G6:
[4] gt,gt [2] kasiitamark,vitalvoices [2] vitalvoices,mogcsp_ghana [2] mogcsp_ghana,cmghana [2] cmghana,lopezekra [2] lopezekra,whoafro [2] whoafro,canhcghana [2] canhcghana,actionaidghana [2] actionaidghana,gptoendfgm [2] gptoendfgm,jp_lawson Top Word Pairs in Tweet in G7:
[10] codhem,rosariopiedraib [10] rosariopiedraib,vitalvoices [9] vitalvoices,_30jr40_ [4] palmiratapia,_vicenteserrano [4] _vicenteserrano,codhem [4] guerrero,luz [4] luz,permanece [4] permanece,indiferente [4] indiferente,ante [4] ante,injusticia Top Word Pairs in Tweet in G8:
[9] study,finds [9] finds,advancing [9] advancing,women [9] women,priority [9] priority,70 [9] 70,organizations [9] organizations,surveyed [9] surveyed,#womenleaders [8] thirdviewinfo,study [2] angellicaribam,harvard Top Word Pairs in Tweet in G9:
[41] wraglobal,maternityww [41] maternityww,wbg_health [41] wbg_health,maternova [41] maternova,vitalvoices [37] nighealthwatch,gccnigeria [37] gccnigeria,jhpiego [37] jhpiego,msdformothers [37] msdformothers,sfhnigeria [37] sfhnigeria,wraglobal [25] kurrambe,nighealthwatch Top Word Pairs in Tweet in G10:
[40] vitalvoices,sister [32] hosting,vitalvoices [32] sister,africwomenpower [32] africwomenpower,26th [32] 26th,june [32] june,discuss [32] discuss,educative [32] educative,topic [32] topic,mary's [31] estherijewere,hosting 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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