The graph represents a network of 5,511 Twitter users whose tweets in the requested range contained "krugman", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 06 January 2019 at 16:14 UTC.
The requested start date was Sunday, 06 January 2019 at 16:12 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 7-day, 3-hour, 36-minute period from Saturday, 29 December 2018 at 18:29 UTC to Saturday, 05 January 2019 at 22:05 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 : 5511
Unique Edges : 5914
Edges With Duplicates : 965
Total Edges : 6879
Self-Loops : 888
Reciprocated Vertex Pair Ratio : 0.0130060450631984
Reciprocated Edge Ratio : 0.0256781193490054
Connected Components : 903
Single-Vertex Connected Components : 531
Maximum Vertices in a Connected Component : 3445
Maximum Edges in a Connected Component : 4538
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.966639
Graph Density : 0.000182113911098773
Modularity : 0.782859
NodeXL Version : 1.0.1.407
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2613] paul,krugman [855] tax,cut [849] nobel,prize [706] economist,paul [697] winning,economist [692] prize,winning [659] money,fact [659] fact,brought [659] brought,home [657] cut,probably Top Word Pairs in Tweet in G1:
[692] paul,krugman [645] economist,paul [644] nobel,prize [644] prize,winning [644] winning,economist [644] krugman,money [644] money,fact [644] fact,brought [644] brought,home [644] home,tax Top Word Pairs in Tweet in G2:
[191] hard,pressed [191] pressed,better [191] better,test [191] test,contrast [191] contrast,between [191] between,one [191] one,side [191] side,jerry [191] jerry,brown's [191] brown's,california Top Word Pairs in Tweet in G3:
[405] paul,krugman [85] tax,cut [73] trump,tax [70] even,worse [69] krugman,nyt [69] cut,even [68] worse,ve [68] ve,heard [66] paul,ryan [64] krugman,burns Top Word Pairs in Tweet in G4:
[431] things,paid [431] paid,propagandist [431] propagandist,masquerading [431] masquerading,economist [431] economist,former [431] former,pm [431] pm,large [431] large,institutional [430] themarketswork,things [13] themarketswork,dbongino Top Word Pairs in Tweet in G5:
[174] paul,krugman [165] alexandria,ocasio [165] ocasio,cortez's [165] cortez's,election [165] election,already [165] already,serving [165] serving,valuable [165] valuable,purpose [165] purpose,writes [165] writes,paul Top Word Pairs in Tweet in G6:
[46] paul,krugman [45] two,days [45] days,moc [45] moc,aoc [45] aoc,gotten [45] gotten,more [45] more,props [45] props,krugman [45] krugman,bernie [44] emptywheel,two Top Word Pairs in Tweet in G7:
[152] paul,krugman [119] rawstory,paul [115] paul,ryan [113] krugman,burns [113] ryan,ground [111] ground,along [111] along,reporters [111] reporters,sucked [111] sucked,up [111] up,years Top Word Pairs in Tweet in G8:
[73] more,wrong [72] public,figure [72] figure,out [72] out,more [72] wrong,more [72] more,krugman [71] davidharsanyi,public [24] paul,krugman [15] charles,blow [14] michelle,goldberg Top Word Pairs in Tweet in G9:
[122] paul,krugman [116] krugman,tells [116] tells,economy [116] economy,doomed [116] doomed,knows [116] knows,taking [116] taking,nobel [116] nobel,prize [116] prize,economics [115] rising_serpent,paul Top Word Pairs in Tweet in G10:
[101] krugman's,summary [101] summary,study [101] study,misleading [101] misleading,updated [101] updated,paper [101] paper,seattle [101] seattle,mw [101] mw,finds [101] finds,reductions [101] reductions,hours Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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 G8:
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: