The graph represents a network of 2,035 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, 12 July 2020 at 02:37 UTC.
The requested start date was Sunday, 12 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 12-day, 5-hour, 40-minute period from Sunday, 28 June 2020 at 00:40 UTC to Friday, 10 July 2020 at 06:21 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 : 2035
Unique Edges : 1871
Edges With Duplicates : 6498
Total Edges : 8369
Number of Edge Types : 5
Replies to : 574
Mentions : 1571
Retweet : 2018
MentionsInRetweet : 2967
Tweet : 1239
Self-Loops : 1240
Reciprocated Vertex Pair Ratio : 0.0568484042553191
Reciprocated Edge Ratio : 0.107581000314564
Connected Components : 55
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 1459
Maximum Edges in a Connected Component : 7124
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.145134
Graph Density : 0.000768024661829972
Modularity : 0.342046
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 2,035 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, 12 July 2020 at 02:37 UTC.
The requested start date was Sunday, 12 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 12-day, 5-hour, 40-minute period from Sunday, 28 June 2020 at 00:40 UTC to Friday, 10 July 2020 at 06:21 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:
[146] agricultural,producers [145] producers,#usmca [145] #usmca,modernizes [145] modernizes,strengthens [145] strengthens,food [145] food,agricultural [145] agricultural,trade [145] trade,grateful [144] brownfield,#agnews [144] grateful,president Top Word Pairs in Tweet in G1:
[46] covid,19 [26] žð,žð [21] wear,mask [17] years,ago [15] wearing,masks [14] year,old [13] white,house [13] 4th,july [12] wearing,mask [12] flash,flood Top Word Pairs in Tweet in G2:
[116] alfonso,herrera [116] herrera,eterno [116] eterno,miguel [116] miguel,#rebelde [116] #rebelde,acordou [116] acordou,uma [116] uma,dúvida [116] dúvida,preciso [116] preciso,uma [116] uma,explicação Top Word Pairs in Tweet in G3:
[143] brownfield,#agnews [132] read,more [115] #agnews,brownfield [84] more,brownfield [83] gt,gt [37] tells,brownfield [31] #corn,#soybeans [27] more,listen [27] good,excellent [22] gap,year Top Word Pairs in Tweet in G4:
[144] agricultural,producers [144] producers,#usmca [144] #usmca,modernizes [144] modernizes,strengthens [144] strengthens,food [144] food,agricultural [144] agricultural,trade [144] trade,grateful [143] grateful,president [143] kyagcommish,agricultural Top Word Pairs in Tweet in G5:
[78] courts,keep [78] keep,issuing [78] issuing,restraining [78] restraining,orders [78] orders,against [78] against,governor [78] governor,govandybeshearâ [78] govandybeshearâ,edicts [78] edicts,faster [78] faster,issue Top Word Pairs in Tweet in G6:
[30] plus,millions [30] millions,victimes [30] victimes,barundi [29] #burundi,vécu [29] vécu,génocide [29] génocide,régicide [29] régicide,plus [29] barundi,millions [29] millions,barundi [28] micombero,bagaza Top Word Pairs in Tweet in G7:
[25] register,npc [25] npc,#webinar [25] #webinar,vikasmnpc [25] vikasmnpc,fisme [25] fisme,g3ict [25] g3ict,icraf [25] icraf,ifpri [25] ifpri,iitgn [25] iitgn,mybcu [25] mybcu,ongc_ Top Word Pairs in Tweet in G8:
[2] year,plan [2] plan,spraying [2] spraying,#corn [2] #corn,#fungicide [2] #fungicide,commodityweek [2] commodityweek,corndisease [2] corndisease,on_agfax [2] on_agfax,agnews_otto [2] agnews_otto,prairie_farmer [2] ilsoyadvisor,il_cca Top Word Pairs in Tweet in G9:
[3] hurry,grab [3] grab,aau17 [3] aau17,aajtak [3] aajtak,agnews [3] agnews,abpnews [3] abpnews,agribih [3] agribih,agrigoi [3] agrigoi,agringl [3] agringl,akv_env [3] akv_env,22sanada Top Word Pairs in Tweet in G10:
[8] probyn,mpaynspeaker [8] mpaynspeaker,agnews_otto [8] agnews_otto,ennofarm [8] ennofarm,_ajcousins [8] _ajcousins,con_riley [6] con_riley,jobsearchjill [6] rjscott_author,silvia_violet [6] vllocey,rjscott_author [5] rosamyst,probyn [5] kellystanze,jeralibu Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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: