The graph represents a network of 20,750 Twitter users whose recent tweets contained "inflation", 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 Thursday, 16 June 2022 at 18:05 UTC.
The tweets in the network were tweeted over the 1-hour, 17-minute period from Thursday, 16 June 2022 at 16:11 UTC to Thursday, 16 June 2022 at 17:28 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 : 20750
Unique Edges : 23211
Edges With Duplicates : 3204
Total Edges : 26415
Number of Edge Types : 5
Retweet : 12217
Replies to : 4053
Tweet : 3565
MentionsInRetweet : 2216
Mentions : 4364
Self-Loops : 3666
Reciprocated Vertex Pair Ratio : 0.0089730339190078
Reciprocated Edge Ratio : 0.0177864692461703
Connected Components : 3609
Single-Vertex Connected Components : 1495
Maximum Vertices in a Connected Component : 11726
Maximum Edges in a Connected Component : 16916
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 9.308657
Graph Density : 4.98836640116783E-05
Modularity : 0.82483
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 20,750 Twitter users whose recent tweets contained "inflation", 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 Thursday, 16 June 2022 at 18:05 UTC.
The tweets in the network were tweeted over the 1-hour, 17-minute period from Thursday, 16 June 2022 at 16:11 UTC to Thursday, 16 June 2022 at 17:28 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 : inflation
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:
[1456] gas,prices [875] interest,rates [778] protest,against [767] imran,khan [730] high,inflation [664] against,inflation [636] record,high [632] khan,called [614] prices,inflation [575] chairman,imran Top Word Pairs in Tweet in G1:
[520] biden's,inflation [514] inflation,biden's [513] putin's,inflation [309] high,inflation [308] record,high [282] trillion,spending [276] top,economists [275] biden,putin [275] putin,pushed [275] pushed,trillion Top Word Pairs in Tweet in G2:
[86] interest,rates [68] gas,prices [49] federal,reserve [44] high,inflation [41] interest,rate [34] prices,inflation [29] rate,hike [25] fight,inflation [24] rate,hikes [24] rising,inflation Top Word Pairs in Tweet in G3:
[168] gas,prices [122] record,high [91] high,inflation [86] high,gas [66] yr,high [62] inflation,record [53] took,office [52] mortgage,rates [52] middle,class [50] baby,formula Top Word Pairs in Tweet in G4:
[689] imran,khan [599] khan,called [546] against,inflation [543] chairman,imran [536] called,country [536] country,wide [531] inflation,imported [531] sunday,9pm [531] 9pm,address [531] address,10pm Top Word Pairs in Tweet in G5:
[224] interest,rates [174] bank,england [114] stat,boe [96] price,money [94] increased,interest [93] england,idea [93] idea,inflation [93] inflation,beyond [93] beyond,control [93] control,increased Top Word Pairs in Tweet in G6:
[102] back,president [101] fires,back [101] biden,'support [101] 'support,resource [101] resource,development' [100] exxonmobil,fires [100] president,biden [88] gas,prices [38] high,gas [38] grassley,shut Top Word Pairs in Tweet in G7:
[220] 17,inflation [218] unemployment,rate [216] nigerians,atiku [216] atiku,pdp [216] pdp,settle [216] settle,okowa [216] okowa,vp [216] vp,battling [216] battling,17 [216] inflation,unemployment Top Word Pairs in Tweet in G8:
[421] during,inflation [420] beyoncé,people [420] people,buying [420] buying,boxes [420] boxes,idea [420] idea,inside [420] inside,during [420] inflation,power [34] economy,fixed [34] fixed,gas Top Word Pairs in Tweet in G9:
[101] zirp,qe [93] nobel,prize [93] prize,winning [89] winning,economist [89] economist,paulkrugman [89] paulkrugman,assured [89] assured,world [89] world,zirp [89] qe,cause [89] cause,#inflation Top Word Pairs in Tweet in G10:
[132] inflation,worse [132] worse,everywhere [69] doocy,time [69] time,biden [69] biden,saying [69] saying,inflation [69] everywhere,kjp [69] kjp,seen [69] seen,globe [69] globe,first Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
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 G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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: