The graph represents a network of 1,584 Twitter users whose tweets in the requested range contained "agnews", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 14 April 2019 at 08:47 UTC.
The requested start date was Sunday, 14 April 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 22-hour, 23-minute period from Sunday, 31 March 2019 at 00:23 UTC to Saturday, 13 April 2019 at 22:47 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 : 1584
Unique Edges : 2422
Edges With Duplicates : 2667
Total Edges : 5089
Number of Edge Types : 3
Replies to : 515
Mentions : 3451
Tweet : 1123
Self-Loops : 1123
Reciprocated Vertex Pair Ratio : 0.0714285714285714
Reciprocated Edge Ratio : 0.133333333333333
Connected Components : 87
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 1100
Maximum Edges in a Connected Component : 4134
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.981186
Graph Density : 0.00102294262907023
Modularity : 0.418584
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[180] brownfield,#agnews [161] #agnews,brownfield [139] read,more [137] more,brownfield [112] u,s [89] #thefencepostnews,#agnews [60] lunch,portions [60] #tslivestocknews,#agnews [57] save,money [56] cost,cutting Top Word Pairs in Tweet in G1:
[44] u,s [23] don,t [14] wikleaks,wikleaks [11] disaster,aid [10] years,ago [10] climate,change [10] ðÿ,ðÿ [10] itâ,s [9] veggie,burgers [8] last,year Top Word Pairs in Tweet in G2:
[180] brownfield,#agnews [160] #agnews,brownfield [137] read,more [137] more,brownfield [64] u,s [53] #agnews,#mnag [42] #mnag,brownfield [30] à,à [25] #corn,#soybeans [25] brnagnews_ken,#iowa Top Word Pairs in Tweet in G3:
[33] #burundi,hutu [21] chef,d [21] d,etat [20] précautions,sécuritaires [20] sécuritaires,avant [20] avant,les [20] les,élections [20] élections,2020 [19] hutu,tutsi [19] tutsi,twa Top Word Pairs in Tweet in G4:
[50] dfe,cost [49] lunch,portions [48] cost,cutting [45] save,money [41] schools,save [41] money,cutting [40] cutting,advisers [39] cost,cutters [39] cutting,pupils' [39] pupils',lunch Top Word Pairs in Tweet in G5:
[14] cepeda,francisco [14] francisco,agnews [13] agnews,em [9] 2019,cepeda [8] lollapalooza,2019 [7] em,autódromo [6] #agnews,#avantguardmon [5] ðÿ,ðÿ [5] thiago,duran [5] foto,agnews Top Word Pairs in Tweet in G6:
[39] european,parliaments [39] parliaments,stuart [39] s,report [39] report,farm [39] farm,murders [39] murders,sa [39] sa,satodaynews [36] satodaynews,european [23] stuart,agnewâ [23] agnewâ,s Top Word Pairs in Tweet in G7:
[32] let's,stop [32] stop,myth [32] myth,schools [32] schools,wasting [32] wasting,money [32] money,cut [32] cut,bone [32] find,out [32] out,more [32] more,story Top Word Pairs in Tweet in G8:
[19] chief321,realsaavedra [18] agnews_otto,chief321 [12] agnews_otto,realsaavedra [10] chief321,agnews_otto [4] realsaavedra,comes [4] comes,way [4] way,trying [4] trying,sound [4] sound,intelligent [4] intelligent,topic Top Word Pairs in Tweet in G9:
[2] interest,seedtoday [2] seedtoday,seedmagazine [2] seedmagazine,groupefdesprez [2] groupefdesprez,limagrain [2] limagrain,limagrainwheat [2] limagrainwheat,toniaracre Top Word Pairs in Tweet in G10:
[2] senators,improve [2] improve,mississippi [2] mississippi,river [2] river,basin [2] basin,lock [2] lock,dam [2] dam,infrastructure [2] infrastructure,ecosystem [2] ecosystem,thx [2] thx,senroyblunt Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G5:
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Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: