The graph represents a network of 2,319 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, 05 July 2020 at 02:36 UTC.
The requested start date was Sunday, 05 July 2020 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, 5-hour, 6-minute period from Sunday, 21 June 2020 at 00:09 UTC to Saturday, 04 July 2020 at 05:15 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 : 2319
Unique Edges : 2381
Edges With Duplicates : 7762
Total Edges : 10143
Number of Edge Types : 5
MentionsInRetweet : 3712
Mentions : 1825
Retweet : 2468
Tweet : 1484
Replies to : 654
Self-Loops : 1487
Reciprocated Vertex Pair Ratio : 0.051527224435591
Reciprocated Edge Ratio : 0.0980045466026774
Connected Components : 52
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 1623
Maximum Edges in a Connected Component : 8519
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.949613
Graph Density : 0.00073649757545519
Modularity : 0.349726
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 2,319 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, 05 July 2020 at 02:36 UTC.
The requested start date was Sunday, 05 July 2020 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, 5-hour, 6-minute period from Sunday, 21 June 2020 at 00:09 UTC to Saturday, 04 July 2020 at 05:15 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 : GraphServerTwitterSearch
Graph Term : agnews
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:
[171] brownfield,#agnews [170] read,more [144] #agnews,brownfield [142] food,agricultural [140] agricultural,producers [140] producers,#usmca [140] #usmca,modernizes [140] modernizes,strengthens [140] strengthens,food [140] agricultural,trade Top Word Pairs in Tweet in G1:
[44] covid,19 [30] trade,deal [24] severe,thunderstorm [22] white,house [20] wear,mask [19] year,old [16] thunderstorm,warning [15] years,ago [12] flash,flood [12] china,trade Top Word Pairs in Tweet in G2:
[137] os,novos [137] novos,líderes [137] líderes,semana [137] semana,sã [137] sã,não [137] não,pera [137] pera,kkkk [137] kkkk,#bbb20 [137] #bbb20,acabou [137] acabou,mas Top Word Pairs in Tweet in G3:
[171] brownfield,#agnews [167] read,more [144] #agnews,brownfield [132] gt,gt [123] more,brownfield [33] tells,brownfield [30] #corn,#soybeans [29] gt,#agnews [25] hear,more [23] good,excellent Top Word Pairs in Tweet in G4:
[139] agricultural,producers [139] producers,#usmca [139] #usmca,modernizes [139] modernizes,strengthens [139] strengthens,food [139] food,agricultural [139] agricultural,trade [139] trade,grateful [139] grateful,president [138] kyagcommish,agricultural Top Word Pairs in Tweet in G5:
[33] aau17,aajtak [33] aajtak,agnews [33] agnews,abpnews [33] abpnews,agribih [33] agribih,agrigoi [33] agrigoi,agringl [33] agringl,akv_env [33] akv_env,22sanada [33] 22sanada,acmo_org [26] hurry,grab Top Word Pairs in Tweet in G6:
[29] #burundi,vécu [29] vécu,génocide [29] génocide,régicide [29] régicide,plus [29] plus,millions [29] millions,victimes [29] victimes,barundi [29] barundi,millions [29] millions,barundi [26] barundi,aujourd'hui Top Word Pairs in Tweet in G7:
[6] probyn,mpaynspeaker [6] mpaynspeaker,agnews_otto [6] agnews_otto,ennofarm [6] ennofarm,_ajcousins [6] _ajcousins,con_riley [6] vllocey,rjscott_author [4] con_riley,jobsearchjill [4] jobsearchjill,vllocey [4] rjscott_author,silvia_violet [4] kellystanze,jeralibu Top Word Pairs in Tweet in G8:
[5] ilagriculture,released [5] released,2020 [5] 2020,pesticides [5] pesticides,container [5] container,recycling [5] recycling,program [5] program,dates [5] dates,program [5] program,accepts [5] accepts,clean Top Word Pairs in Tweet in G9:
[3] #agriculture,#agnews [2] jc,pereira [2] pereira,agnews [2] agnews,#aimprensaazul [2] spiro,agnews [2] ag,news [2] read,more [2] cfap,direct [2] direct,payments [2] more,accessible Top Word Pairs in Tweet in G10:
[6] agnews_otto,allsussextweets [6] allsussextweets,lovelolaheart [6] lovelolaheart,elaineduff4 [6] aeduko,ladysassington [6] ladysassington,wayaheaduk [5] elaineduff4,aeduko [4] agnews_otto,ladysassington [2] agnews_otto,wayaheaduk [2] ladysassington,aeduko [2] aeduko,lilafowler2017 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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 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: