The graph represents a network of 4,053 Twitter users whose recent tweets contained "china africa OR sinoafrica", 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 Tuesday, 03 January 2023 at 16:02 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 27-minute period from Monday, 02 January 2023 at 09:04 UTC to Tuesday, 03 January 2023 at 15:31 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.
Vertices : 4095
Unique Edges : 4528
Edges With Duplicates : 5427
Total Edges : 9955
Self-Loops : 1341
Reciprocated Vertex Pair Ratio : 0.0521867737164589
Reciprocated Edge Ratio : 0.0991967871485944
Connected Components : 602
Single-Vertex Connected Components : 165
Maximum Vertices in a Connected Component : 1648
Maximum Edges in a Connected Component : 4340
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.059022
Graph Density : 0.000297048660507381
Modularity : 0.404634
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,053 Twitter users whose recent tweets contained "china africa OR sinoafrica", 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 Tuesday, 03 January 2023 at 16:02 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 27-minute period from Monday, 02 January 2023 at 09:04 UTC to Tuesday, 03 January 2023 at 15:31 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 : china africa OR sinoafrica
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1143] south,africa [732] china,s [682] coming,china [675] figure,out [674] s,going [672] regardless,nationality [672] until,figure [671] ban,traveler [671] out,s [671] china,regardless Top Word Pairs in Tweet in G1:
[670] south,africa [663] regardless,nationality [663] figure,out [662] china,regardless [662] until,figure [662] traveler,coming [662] ban,traveler [662] africa,ban [662] coming,china [662] out,s Top Word Pairs in Tweet in G2:
[533] documentary,3 [533] surveillance,moconomy [533] 1,rise [533] new,superpower [533] ban,cryptocurrencies [533] china,vs [533] dw,documentary [533] cryptocurrencies,moconomy [533] 2,africa [533] 4,internet Top Word Pairs in Tweet in G3:
[286] population,1 [144] china,s [143] continent,446 [143] entire,world [143] 446,8 [143] conquered,amp [143] people,managed [143] more,80 [143] 4,billion [143] 1,425 Top Word Pairs in Tweet in G4:
[214] menos,que [107] áfrica,os [107] o,vice [107] presidenta,senado [107] vice,presidente [107] presidente,país [107] lula,rússia [107] os,seus [107] mandou,secretária [107] china,mandou Top Word Pairs in Tweet in G5:
[107] india,china [107] china,south [107] south,africa [107] brazil,russia [107] russia,india [105] saudi,arabia [104] #brics,acronym [104] associates,five [104] globe,brazil [104] economies,around Top Word Pairs in Tweet in G6:
[102] ethiopia,supported [102] crimes,against [102] tigray,war [102] resist,attempts [102] probe,tigray [102] un,probe [102] supported,china [102] attempts,ethiopia [102] russia,defund [102] world,resist Top Word Pairs in Tweet in G7:
[76] africa,china [76] food,dey [74] dey,president [74] case,nigerians [74] china,sang [74] dey,water [74] water,dey [74] sang,food [74] president,party [74] party,case Top Word Pairs in Tweet in G8:
[65] open,up [64] more,wars [64] rest,world [64] amp,staged [64] first,amp [64] africa,took [64] staged,more [64] amp,second [64] taiping,rebellion [64] wars,amp Top Word Pairs in Tweet in G9:
[15] elonmusk,stillgray [13] catturd2,elonmusk [11] misterbimms,elonmusk [9] marcusyafeelus,catturd2 [8] yeahitsmedenny,regime_rager [7] regime_rager,marcusyafeelus [7] china,africa [7] elsincero4,emmarincon [6] sunjeevbery,jordanbpeterson [6] elonmusk,gonzalolira1968 Top Word Pairs in Tweet in G10:
[23] china,africa [20] china's,economic [20] west,east [20] russia's,political [20] partnership,west [20] much,pretend [20] influence,we've [20] path,devoid [20] captorism,russia's [20] aclear,path Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G7:
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 G5:
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: