The graph represents a network of 5 032 Twitter users whose recent tweets contained "UNWomen", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Friday, 22 November 2019 at 17:45 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 29-minute period from Wednesday, 13 November 2019 at 12:59 UTC to Friday, 22 November 2019 at 17:29 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 : 5298
Unique Edges : 10488
Edges With Duplicates : 21854
Total Edges : 32342
Number of Edge Types : 4
Mentions : 26198
Replies to : 866
Tweet : 541
Retweet : 4737
Self-Loops : 562
Reciprocated Vertex Pair Ratio : 0,0313538833484436
Reciprocated Edge Ratio : 0,060801406490367
Connected Components : 242
Single-Vertex Connected Components : 139
Maximum Vertices in a Connected Component : 4775
Maximum Edges in a Connected Component : 29962
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3,487379
Graph Density : 0,000486432450742256
Modularity : 0,354119
NodeXL Version : 1.0.1.421
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=217067
Data Import : The graph represents a network of 5 032 Twitter users whose recent tweets contained "UNWomen", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Friday, 22 November 2019 at 17:45 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 29-minute period from Wednesday, 13 November 2019 at 12:59 UTC to Friday, 22 November 2019 at 17:29 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 : TwitterSearch
Graph Term : UNWomen
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:
[886] women,girls [553] gender,based [552] based,violence [364] gender,equality [313] against,gender [294] show,world [292] world,stand [281] thane_r_police,ips_association [273] mujeres,niñas [256] toughstand,mynation_mh Top Word Pairs in Tweet in G1:
[751] women,girls [421] gender,based [419] based,violence [244] against,gender [242] show,world [242] world,stand [231] manage,periods [229] 25,billion [229] billion,women [229] girls,access Top Word Pairs in Tweet in G2:
[165] gender,equality [112] against,rape [106] #orangetheworld,#16days [91] women,girls [91] violence,against [91] against,women [88] un_women,#orangetheworld [84] gender,based [84] based,violence [81] join,#generationequality Top Word Pairs in Tweet in G3:
[268] mujeres,niñas [156] pobreza,violencia [156] violencia,falta [156] falta,acceso [156] acceso,tierra [156] tierra,mujeres [156] niñas,indígenas [156] indígenas,afrontan [156] afrontan,múltiples [156] múltiples,formas Top Word Pairs in Tweet in G4:
[54] meet,brave [54] brave,young [54] young,women [54] women,driving [54] driving,force [54] force,peace [54] peace,justice [54] justice,sudan [54] sudan,un_women [45] cpa_secretariat,unwomen_pak Top Word Pairs in Tweet in G5:
[281] thane_r_police,ips_association [256] toughstand,mynation_mh [256] mynation_mh,wisehussein [243] socialhuman10,dd_alienfather [232] dd_alienfather,mynationprasadv [206] wisehussein,shadesofknife [196] shadesofknife,socialhuman10 [181] amit_mynation,sumitandr [165] mynation_ap,keyadas63 [160] no1_mra,toughstand Top Word Pairs in Tweet in G6:
[20] violence,against [20] against,women [13] generation,equality [8] gender,based [8] based,violence [8] women,girls [7] international,day [6] ending,violence [6] women,headquarters [6] gender,equality Top Word Pairs in Tweet in G7:
[35] culture,viol [35] 16,façons [29] 14,pays [29] pays,comptent [29] comptent,50 [29] 50,postes [29] postes,ministres [29] ministres,occupés [29] occupés,par [29] par,femmes Top Word Pairs in Tweet in G8:
[17] gegen,häusliche [17] häusliche,gewalt [16] jede,frau [13] petition,gegen [13] platz,frauenhaus [12] frauenhaus,jede [11] recht,schutz [11] schutz,gewalt [10] frauenunion,cdu [9] jeden,dritten Top Word Pairs in Tweet in G9:
[16] young,women [16] women,10 [16] 10,young [16] young,men [16] men,complete [16] complete,upper [16] upper,secondary [16] secondary,school [16] school,low [16] low,income Top Word Pairs in Tweet in G10:
[13] geweld,tegen [13] tegen,vrouwen [11] tegen,geweld [9] unwomen_nl,nlsoroptimist [8] nee,tegen [8] moet,stoppen [8] nlsoroptimist,unwomen_nl [7] #orangetheworld,#orangetheworldnl [7] haar,leven [7] 25,11 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: