The graph represents a network of 12 733 Twitter users whose recent tweets contained "sudan", 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, 31 December 2021 at 13:17 UTC.
The tweets in the network were tweeted over the 17-hour, 30-minute period from Thursday, 30 December 2021 at 18:50 UTC to Friday, 31 December 2021 at 12:21 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 Fruchterman-Reingold layout algorithm.
Author Description
Vertices : 12733
Unique Edges : 27910
Edges With Duplicates : 13713
Total Edges : 41623
Number of Edge Types : 5
Retweet : 13082
MentionsInRetweet : 14792
Replies to : 2846
Mentions : 7943
Tweet : 2960
Self-Loops : 3083
Reciprocated Vertex Pair Ratio : 0,00735539953192912
Reciprocated Edge Ratio : 0,0146033853302356
Connected Components : 1435
Single-Vertex Connected Components : 808
Maximum Vertices in a Connected Component : 9371
Maximum Edges in a Connected Component : 38003
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4,180818
Graph Density : 0,000185853935855879
Modularity : 0,57001
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 12 733 Twitter users whose recent tweets contained "sudan", 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, 31 December 2021 at 13:17 UTC.
The tweets in the network were tweeted over the 17-hour, 30-minute period from Thursday, 30 December 2021 at 18:50 UTC to Friday, 31 December 2021 at 12:21 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 Fruchterman-Reingold layout algorithm.
Graph Source : TwitterSearch
Graph Term : sudan
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:
[2254] in,the [1624] in,sudan [1542] security,forces [1453] hard,to [1330] it,is [1319] at,the [1259] the,sudan [1251] with,the [1177] of,the [1165] the,un Top Word Pairs in Tweet in G1:
[679] of,the [610] #مليونية30ديسمبر,#مجزرة30ديسمبر [565] with,the [562] in,sudan [554] security,forces [512] يا,الله [486] the,military [485] in,#sudan [433] #مجزرة30ديسمبر,sudan_trending [388] is,the Top Word Pairs in Tweet in G2:
[1277] in,the [1183] the,sudan [1175] hard,to [1140] it,is [1107] the,un [1106] killer,squad [1106] at,the [1106] un,unicef [1106] unicef,unhumanrights [1106] unhumanrights,blmla Top Word Pairs in Tweet in G3:
[158] in,sudan [119] security,forces [106] anti,coup [100] shot,dead [92] coup,protesters [88] at,least [83] four,anti [82] least,four [77] protesters,shot [76] dead,in Top Word Pairs in Tweet in G4:
[231] in,sudan [197] of,tigrayans [160] insansız,hava [160] hava,araçlarıyla [160] araçlarıyla,silahlandırmak [160] silahlandırmak,yalnızca [160] yalnızca,muazzam [160] muazzam,insan [160] insan,ıstırabına [160] ıstırabına,yol Top Word Pairs in Tweet in G5:
[556] people,of [553] security,forces [550] the,people [543] of,sudan [535] with,the [519] u,s [518] sudanese,security [518] the,u [513] media,outlets [512] deeply,troubled Top Word Pairs in Tweet in G6:
[521] سلام,على [521] على,وطن [521] وطن,لم [521] لم,يشهد [521] يشهد,يوما [521] يوما,سلام [521] سلام,#sudan [521] #sudan,#oxda [521] #oxda,#انقلاب٢٥اكتوبر [521] #انقلاب٢٥اكتوبر,#السودان Top Word Pairs in Tweet in G7:
[292] south,sudan [186] in,north [185] north,darfur [175] as,a [173] a,result [160] wfp,operations [143] by,the [142] we,are [137] in,el [134] looting,of Top Word Pairs in Tweet in G8:
[244] sudan,da [241] aktif,ve [240] ve,halkın [240] halkın,sorunlarıyla [235] da,aktif [172] seçeneklerde,ingiliz [172] ingiliz,ve [172] ve,amerikalı [172] amerikalı,elçilerin [172] elçilerin,de Top Word Pairs in Tweet in G9:
[279] in,the [250] eritrea,amp [247] the,name [247] name,of [247] of,humanity [247] humanity,amp [247] amp,democracy [247] democracy,usa [247] usa,destroyed [247] destroyed,1 Top Word Pairs in Tweet in G10:
[58] rbi,dasshaktikanta [58] nsitharaman,pmoindia [54] dasshaktikanta,nsitharaman [54] pmoindia,centrumindia [54] centrumindia,suhailsameer14 [54] suhailsameer14,bharatpeindia [54] bharatpeindia,ashneer_grover [54] ashneer_grover,un1tysfb [54] un1tysfb,pmcbankcrisis [48] vilaspa07687124,rbi Top Replied-To in Entire Graph:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: