The graph represents a network of 5,355 Twitter users whose recent tweets contained "#StopXenophobia", 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 Sunday, 15 September 2019 at 17:11 UTC.
The tweets in the network were tweeted over the 9-day, 15-hour, 50-minute period from Thursday, 05 September 2019 at 23:49 UTC to Sunday, 15 September 2019 at 15:40 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 : 5355
Unique Edges : 6326
Edges With Duplicates : 1430
Total Edges : 7756
Self-Loops : 1258
Reciprocated Vertex Pair Ratio : 0.0103842159916926
Reciprocated Edge Ratio : 0.0205549845837616
Connected Components : 934
Single-Vertex Connected Components : 423
Maximum Vertices in a Connected Component : 2803
Maximum Edges in a Connected Component : 4351
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.477646
Graph Density : 0.000203622726640152
Modularity : 0.774815
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[825] #saynotoxenophobia,#stopxenophobia [768] south,africa [604] #stopxenophobia,#oneafricaispossible [491] africans,#stopxenophobia [444] africa,africans [368] south,african [359] #stoptheviolence,#enoughisenough [327] #enoughisenough,#saynotoxenophobia [327] #stopxenophobia,#saynotoxenophobia [298] south,africans Top Word Pairs in Tweet in G1:
[435] africa,africans [435] africans,#stopxenophobia [6] #therealityoflife,#seriesofvictoriesyear [6] #seriesofvictoriesyear,#counsellinga [6] #counsellinga,z [6] z,#keepghclean [6] #keepghclean,#goddeywedey [6] #goddeywedey,#stopxenophobia [4] #stopxenophobia,#thinktwiceforum [4] south,africans Top Word Pairs in Tweet in G2:
[546] #saynotoxenophobia,#stopxenophobia [546] #stopxenophobia,#oneafricaispossible [353] #stoptheviolence,#enoughisenough [312] #enoughisenough,#saynotoxenophobia [234] manifesto,call [234] call,#stoptheviolence [234] #enoughisenough,#aminext [234] #aminext,#saynotoxenophobia [185] #stopthe,violence [185] violence,#enoughisenough Top Word Pairs in Tweet in G3:
[51] south,africa [17] #stopxenophobia,#stopxenophobicattacks [16] #saynotoxenophobia,#stopxenophobia [15] south,africans [15] south,african [14] #xenophobiainsouthafrica,#stopxenophobia [13] africa,#stopxenophobia [12] #stoptheviolence,#stopxenophobia [11] #saynotoxenophobicattacks,#stopxenophobia [10] #stopxenophobia,#stoptheviolence Top Word Pairs in Tweet in G4:
[249] #stopxenophobia,mashabela [44] south,african [41] cic,julius_s_malema [41] african,nationals [40] watch,now [40] now,cic [40] julius_s_malema,calling [40] calling,unity [40] unity,amongst [40] amongst,africans Top Word Pairs in Tweet in G5:
[253] incase,haven't [253] haven't,seen [253] seen,video [253] video,julius [253] julius,malema [253] malema,spoken [253] spoken,mind [253] mind,need [253] need,add [253] add,anything Top Word Pairs in Tweet in G6:
[111] south,africa [73] south,african [65] africa,south [65] africa,#stopxenophobia [64] t,shirts [54] message,south [54] african,good [54] good,night [54] night,africa [52] #stopxenophobia,t Top Word Pairs in Tweet in G7:
[23] tiwasavage,wizkidayo [22] ghana,nigeria [22] nigeria,best [22] best,africa [22] africa,friendship [22] friendship,luv [22] luv,eachother [22] eachother,time [22] time,yu [22] yu,see Top Word Pairs in Tweet in G8:
[68] #southafrica,s [68] s,very [68] very,easy [68] easy,burn [68] burn,black [68] black,brothers [68] brothers,t [68] t,fight [68] fight,white [68] white,foreign Top Word Pairs in Tweet in G9:
[32] south,africa [23] xenophobic,attack [23] attack,johannesburg [23] johannesburg,south [23] 8th,september [23] september,2019 [22] breaking,news [22] news,fresh [22] fresh,xenophobic [22] today,8th Top Word Pairs in Tweet in G10:
[79] #joburgcbd,#stopxenophobia [79] #stopxenophobia,#stopxenophobicattacks [73] zulu,people [73] people,attacking [73] attacking,people [73] people,joburg [73] joburg,government [73] government,doing [73] doing,anything [73] anything,attacks Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: