The graph represents a network of 9 853 Twitter users whose recent tweets contained "#evergrande since:2021-09-20", 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 Monday, 20 September 2021 at 21:11 UTC.
The tweets in the network were tweeted over the 7-hour, 54-minute period from Monday, 20 September 2021 at 12:39 UTC to Monday, 20 September 2021 at 20:34 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 : 9853
Unique Edges : 11330
Edges With Duplicates : 2290
Total Edges : 13620
Number of Edge Types : 5
Tweet : 3194
Retweet : 8039
MentionsInRetweet : 1191
Mentions : 730
Replies to : 466
Self-Loops : 3287
Reciprocated Vertex Pair Ratio : 0,00769390725722603
Reciprocated Edge Ratio : 0,0152703260420966
Connected Components : 2184
Single-Vertex Connected Components : 1568
Maximum Vertices in a Connected Component : 6176
Maximum Edges in a Connected Component : 9148
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 5,453785
Graph Density : 9,98436661638222E-05
Modularity : 0,717207
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9 853 Twitter users whose recent tweets contained "#evergrande since:2021-09-20", 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 Monday, 20 September 2021 at 21:11 UTC.
The tweets in the network were tweeted over the 7-hour, 54-minute period from Monday, 20 September 2021 at 12:39 UTC to Monday, 20 September 2021 at 20:34 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 : #evergrande since:2021-09-20
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:
[1937] property,developer [1741] hong,kong [1613] chinese,property [1565] another,chinese [1561] developer,sinic [1546] banking,crisis [1540] 87,before [1537] #hk,#china [1536] shanghai,based [1536] racing,#evergrande Top Word Pairs in Tweet in G1:
[1356] hong,kong [1302] property,developer [1299] chinese,property [1297] another,chinese [1297] developer,collapsed [1297] collapsed,afternoon [1297] afternoon,hong [1297] kong,dropping [1297] dropping,massive [1297] massive,87 Top Word Pairs in Tweet in G2:
[55] #china,#evergrande [51] #evergrande,#china [39] stock,market [33] lehman,brothers [29] china,#evergrande [24] blood,sugar [20] global,markets [19] sign,free [19] free,#stockstobuy [19] #stockstobuy,#emmyssowhite Top Word Pairs in Tweet in G3:
[265] #evergrande,china [261] note,date [261] date,informed [261] informed,cool [261] cool,read [261] read,thread [261] thread,#evergrande [261] china,contagion [261] contagion,last [261] last,few Top Word Pairs in Tweet in G4:
[148] #evergrande,#evergrandecrisis [87] panic,crash [87] crash,transitory [87] transitory,#evergrande [63] chinese,estate [60] iron,ore [57] evergrande,already [57] already,having [57] having,effect [57] effect,australia Top Word Pairs in Tweet in G5:
[94] marché,chinois [94] chinois,cds [94] cds,credit [94] credit,default [94] default,swap [94] swap,s'est [94] s'est,envolé [94] envolé,cds [94] cds,assurance [94] assurance,permet Top Word Pairs in Tweet in G6:
[168] quiebra,#evergrande [166] burbuja,inmobiliaria [152] modelo,endeudado [146] #evergrande,#china [142] #china,muestra [142] muestra,magnitud [142] magnitud,burbuja [142] inmobiliaria,fragilidad [142] fragilidad,modelo [142] endeudado,muchos Top Word Pairs in Tweet in G7:
[312] property,developer [284] 300,billion [284] billion,debt [280] folks,don [280] don,miss [280] miss,potential [280] potential,implosion [280] implosion,china [280] china,giant [280] giant,property Top Word Pairs in Tweet in G8:
[157] china,#evergrande [154] #evergrande,pressuring [154] pressuring,market [154] market,morning [154] morning,morgan [154] morgan,stanley [154] stanley,calls [154] calls,20 [154] 20,drawdown [154] drawdown,progressive Top Word Pairs in Tweet in G9:
[158] chinese,estate [157] #evergrande,exposing [157] exposing,fragile [157] fragile,bubble [157] bubble,chinese [157] estate,global [157] global,estate [157] estate,bubble [157] bubble,examine [157] examine,estate Top Word Pairs in Tweet in G10:
[14] #evergrande,#china [12] #evergrande,c'est [12] c'est,vrai [12] vrai,risque [12] hong,kong [10] banking,crisis [9] 300,billion [8] china,sneezes [7] another,chinese [7] chinese,property Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: