The graph represents a network of 6,602 Twitter users whose recent tweets contained "Femicide", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Wednesday, 29 January 2020 at 08:20 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 57-minute period from Tuesday, 21 January 2020 at 13:08 UTC to Wednesday, 29 January 2020 at 08:05 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 : 6602
Unique Edges : 7031
Edges With Duplicates : 724
Total Edges : 7755
Number of Edge Types : 5
Tweet : 497
Retweet : 5476
Replies to : 315
Mentions : 679
MentionsInRetweet : 788
Self-Loops : 502
Reciprocated Vertex Pair Ratio : 0.00725163161711385
Reciprocated Edge Ratio : 0.0143988480921526
Connected Components : 348
Single-Vertex Connected Components : 155
Maximum Vertices in a Connected Component : 4938
Maximum Edges in a Connected Component : 5871
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.311563
Graph Density : 0.000159362816747079
Modularity : 0.709912
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 6,602 Twitter users whose recent tweets contained "Femicide", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Wednesday, 29 January 2020 at 08:20 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 57-minute period from Tuesday, 21 January 2020 at 13:08 UTC to Wednesday, 29 January 2020 at 08:05 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 : Femicide
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[6506] hours,womxn [6506] womxn,murdered [3262] femicide,rate [3256] global,average [3256] intimate,partner [3255] rate,times [3253] reminder,south [3253] south,africa's [3253] africa's,femicide [3253] times,global Top Word Pairs in Tweet in G1:
[6378] hours,womxn [6378] womxn,murdered [3190] femicide,rate [3190] rate,times [3189] reminder,south [3189] south,africa's [3189] africa's,femicide [3189] times,global [3189] global,average [3189] average,sa Top Word Pairs in Tweet in G2:
[52] women,girls [51] women,killed [48] killed,sons [45] more,information [39] family,members [37] cultmtl,#femicide [37] older,women [37] last,year [36] #callitfemicide,report [33] sexual,needs Top Word Pairs in Tweet in G3:
[288] france,woman [288] woman,killed [288] killed,partner [288] partner,ex [288] ex,partner [288] partner,three [288] three,days [288] women,mobilising [288] mobilising,against [288] against,femicide Top Word Pairs in Tweet in G4:
[382] feminist,activist [271] isabel,cabanillas [263] ciudad,juárez [240] artist,isabel [195] activist,artist [193] assassinated,ciudad [181] beloved,feminist [181] cabanillas,recently [181] recently,assassinated [181] juárez,mexico Top Word Pairs in Tweet in G5:
[196] #turkey,#femicide [173] wetsvoorstel,trouw [173] trouw,met [173] met,verkrachter [173] verkrachter,binnenkort [173] binnenkort,turks [173] turks,parlement [173] parlement,ik [173] ik,heb [173] heb,zelfs Top Word Pairs in Tweet in G6:
[160] everyone,sir [160] sir,country [160] country,facing [160] facing,energy [160] energy,crisis [160] crisis,sluggish [160] sluggish,economy [160] economy,massive [160] massive,job [160] job,losses Top Word Pairs in Tweet in G7:
[158] still,working [158] working,knitting [158] knitting,2019 [158] 2019,australian [158] australian,femicide [158] femicide,reached [158] reached,november [158] november,finished [158] finished,end [158] end,weekend Top Word Pairs in Tweet in G8:
[18] isabel,cabanillas [16] mexican,artist [15] ciudad,juárez [14] murder,mexican [14] artist,isabel [14] highlights,endemic [14] endemic,issue [14] issue,femicide [14] femicide,ciudad [13] cabanillas,highlights Top Word Pairs in Tweet in G9:
[172] หญ,ง [148] ตอนน,กำล [148] กำล,งศ [148] งศ,กษาม [148] กษาม,เม [148] เม,งต [148] งต,อต [148] อต,าน [148] าน,femicide [148] femicide,ในฝรศ Top Word Pairs in Tweet in G10:
[148] grupo,activista [148] activista,allá [148] allá,stop [148] stop,femicide [148] femicide,estima [148] estima,600 [148] 600,mujeres [148] mujeres,asesinadas [148] asesinadas,última [148] última,década 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 G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G8:
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: