The graph represents a network of 1,838 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, 26 September 2021 at 01:20 UTC.
The requested start date was Sunday, 26 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 3-hour, 4-minute period from Sunday, 12 September 2021 at 00:35 UTC to Saturday, 25 September 2021 at 03:39 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 : 1838
Unique Edges : 2329
Edges With Duplicates : 7687
Total Edges : 10016
Number of Edge Types : 5
Retweet : 2162
MentionsInRetweet : 3479
Replies to : 646
Tweet : 1756
Mentions : 1973
Self-Loops : 1759
Reciprocated Vertex Pair Ratio : 0.0623806492679822
Reciprocated Edge Ratio : 0.117435590173757
Connected Components : 59
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 1650
Maximum Edges in a Connected Component : 9566
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.825713
Graph Density : 0.000988625183108903
Modularity : 0.287841
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,838 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, 26 September 2021 at 01:20 UTC.
The requested start date was Sunday, 26 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 3-hour, 4-minute period from Sunday, 12 September 2021 at 00:35 UTC to Saturday, 25 September 2021 at 03:39 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:
[254] gt,gt [215] brownfield,#agnews [152] read,more [133] more,brownfield [83] #agnews,brownfield [79] #thefencepostnews,#agnews [65] find,more [63] more,listen [54] covid,19 [50] tells,brownfield Top Word Pairs in Tweet in G1:
[39] covid,19 [21] last,year [21] year,old [20] good,morning [18] good,night [16] tropical,storm [15] last,week [15] night,moon [14] years,ago [13] natural,gas Top Word Pairs in Tweet in G2:
[240] gt,gt [215] brownfield,#agnews [143] read,more [133] more,brownfield [83] #agnews,brownfield [64] find,more [63] more,listen [50] tells,brownfield [49] hear,more [48] gt,#agnews Top Word Pairs in Tweet in G3:
[19] learn,more [10] farm,bureau [8] safety,health [7] national,farm [7] farm,safety [7] health,week [7] take,moment [6] more,register [6] harvest,season [5] dairy,farmers Top Word Pairs in Tweet in G4:
[34] vgrshree,agnishwarj [34] agnishwarj,wef [34] wef,juancanavarro [34] juancanavarro,debjani_ghosh_ [34] debjani_ghosh_,kiranshaw [34] kiranshaw,suriya_offl [34] suriya_offl,khushsundar [23] garuda_india,vgrshree [21] khushsundar,jm_scindia [14] jm_scindia,alexisohanian Top Word Pairs in Tweet in G5:
[8] mattc_fcs,agnews_otto [3] serving,thousands [3] weevilhog,mattc_fcs [3] grain,industry [2] rio,texas [2] texas,wck [2] local,restaurants [2] rio,tx [2] hot,meals [2] chefs,cooking Top Word Pairs in Tweet in G6:
[2] jencages,raginxcajun [2] raginxcajun,jgainsbourgh [2] jgainsbourgh,16po [2] 16po,badams820 [2] badams820,vixmcintyre [2] vixmcintyre,medwoman1 [2] medwoman1,adorablepodcast [2] adorablepodcast,lilies09 [2] lilies09,ahrehead [2] ahrehead,notabrokenthing Top Word Pairs in Tweet in G7:
[43] n2p39,agnews_otto [24] capital,gains [21] anthony_schutz,ggunthorp [20] ggunthorp,n2p39 [20] eatcookwrite,n2p39 [18] ggunthorp,agnews_otto [16] anthony_schutz,agnews_otto [15] eatcookwrite,anthony_schutz [14] agnews_otto,wkwangusranch [14] wkwangusranch,lisabaertlein Top Word Pairs in Tweet in G8:
[16] #agtwitter,#agnews [14] agnews,#ptgolezzo [7] fabricio,pioyani [7] pioyani,agnews [4] rio,janeiro [3] são,paulo [3] #novela,#novelas [2] agricultural,news [2] zona,sul [2] sul,rio Top Word Pairs in Tweet in G9:
[15] roubou,cena [15] cena,claudia [15] claudia,leitte [15] leitte,desembarcou [15] desembarcou,brasil [15] brasil,manhã [15] manhã,sua [15] sua,filha [15] filha,bela [15] bela,foto Top Word Pairs in Tweet in G10:
[13] coagriculture1,cda [9] cda,coenergyoffice [9] coenergyoffice,accepting [9] accepting,applications [9] applications,rolling [9] rolling,basis [9] basis,advancing [9] advancing,colorado [9] colorado,renewable [9] renewable,energy 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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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: