The graph represents a network of 2,800 Twitter users whose recent tweets contained "#WeWantOurCountryBack", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 19:38 UTC.
The tweets in the network were tweeted over the 749-day, 11-hour, 34-minute period from Saturday, 26 December 2020 at 13:20 UTC to Sunday, 15 January 2023 at 00:54 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2800
Unique Edges : 3293
Edges With Duplicates : 9867
Total Edges : 13160
Number of Edge Types : 9
Retweet : 2753
MentionsInRetweet : 4862
MentionsInReplyTo : 1472
Tweet : 1248
Quote : 1592
Mentions : 500
Replies to : 604
MentionsInQuote : 109
MentionsInQuoteReply : 20
Self-Loops : 1408
Reciprocated Vertex Pair Ratio : 0.0266368791888641
Reciprocated Edge Ratio : 0.0518915299631738
Connected Components : 56
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 2614
Maximum Edges in a Connected Component : 12845
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.760416
Graph Density : 0.000762262032358495
Modularity : 0.342957
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,800 Twitter users whose recent tweets contained "#WeWantOurCountryBack", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 19:38 UTC.
The tweets in the network were tweeted over the 749-day, 11-hour, 34-minute period from Saturday, 26 December 2020 at 13:20 UTC to Sunday, 15 January 2023 at 00:54 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #WeWantOurCountryBack
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:
[937] #wewantourcountryback,#generalelectionnow [930] #generalelectionnow,#generalelection [907] #generalelection,#generalstrike [541] #wewantourcountryback,#putsouthafricansfirst [475] #detestthetories,#detestthetoriesvalues [466] #independent,#thetimes [466] #bbcnews,#skynews [466] #wewantourcountryback,#bbcbreakfast [465] #thetimes,#guardiannews [465] #skynews,#itvnews Top Word Pairs in Tweet in G1:
[936] #wewantourcountryback,#generalelectionnow [930] #generalelectionnow,#generalelection [907] #generalelection,#generalstrike [475] #detestthetories,#detestthetoriesvalues [466] #bbcnews,#skynews [466] #wewantourcountryback,#bbcbreakfast [466] #independent,#thetimes [465] #dailymirror,#independent [465] #itvnews,#dailymirror [465] #skynews,#itvnews Top Word Pairs in Tweet in G2:
[227] #putsouthaficansfirst,#wewantourcountryback [219] #putsouthafricansfirst,#wewantourcountryback [212] #operationdudula,#putsouthaficansfirst [157] mastimpa,#operationdudula [149] south,africans [129] south,africa [111] #putsouthaficansfirst,#operationdudula [85] meb40122141,healthza [85] #wewantourcountryback,healthza [85] homeaffairssa,meb40122141 Top Word Pairs in Tweet in G3:
[370] #wewantourcountryback,#putsouthafricansfirst [329] words,#wewantourcountryback [328] happyerics,words [37] #wewantourcountryback,#putsouthaficansfirst [32] guys,asylum [32] clarity,guys [32] gun,#wewantourcountryback [32] asylum,seekers [32] qualifies,gun [32] seekers,qualifies Top Word Pairs in Tweet in G4:
[181] illegal,foreign [180] attack,illegal [180] steal,people's [180] serious,attack [180] polokwane'limpopo,serious [180] people's,i'ds [180] nationals,steal [180] fraudulently,request [180] foreign,nationals [180] i'ds,fraudulently Top Word Pairs in Tweet in G5:
[110] south,african [57] african,story [56] south,africa [46] south,africans [45] mariusbroodryk,south [36] #wewantourcountryback,#putsouthafricansfirst [35] #putsouthafricansfirst,#wewantourcountryback [32] part,problem [31] problem,#putsouthafricansfirst [31] myself,south Top Word Pairs in Tweet in G6:
[65] #putsouthafricansfirst,#wewantourcountryback [46] south,africans [40] #putsouthaficansfirst,#operationdudula [39] mariusbroodryk,south [39] #operationdudula,#patrioticspace [38] keagqi,#wewantourcoun [38] africans,getting [38] #patrioticspace,credit [38] fed,#putsouthaficansfirst [38] getting,fed Top Word Pairs in Tweet in G7:
[9] kahwalla,ras_karya [9] ras_karya,lizzyshackelfor [8] resistbureau,hebobiwine [8] hebobiwine,kahwalla [6] speaks,truth [6] #weareremovingadictator,#bringbackourpeople [6] swedenvoyuganda,#weareremovingadictator [6] #freekavuma,#freeolivialutaaya [6] lizzyshackelfor,speaks [6] #bringbackourpeople,#freekavuma Top Word Pairs in Tweet in G8:
[66] south,african [33] first,black [33] market,r30 [33] african,condom [33] perbox,condoms [33] condom,brand [33] r30,perbox [33] black,south [33] african,south [33] condoms,plus Top Word Pairs in Tweet in G9:
[29] states,america' [29] adviser,keisha [29] wh,adviser [29] bottoms,'maga [29] 'destroy,united [29] lance,bottoms [29] united,states [29] 'maga,republicans' [29] republicans','destroy [29] keisha,lance Top Word Pairs in Tweet in G10:
[8] mastimpa,educationgp1 [4] emaster_mosuwe,remove [4] foreigners,teaching [4] abengtsonmali,steve_mabona [4] remove,foreigners [4] nana_leopeng,emaster_mosuwe [4] steve_mabona,nana_leopeng [4] gautengprovince,abengtsonmali [4] educationgp1,gautengprovince [3] matomekopano,newzroom405 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 G6:
Top Replied-To in G7:
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: