The graph represents a network of 6,549 Twitter users whose tweets in the requested range contained "Listeria", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 25 October 2020 at 17:29 UTC.
The requested start date was Sunday, 25 October 2020 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, 23-hour, 8-minute period from Sunday, 11 October 2020 at 00:51 UTC to Saturday, 24 October 2020 at 23:59 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 : 6549
Unique Edges : 2635
Edges With Duplicates : 9735
Total Edges : 12370
Number of Edge Types : 5
Retweet : 4222
MentionsInRetweet : 4542
Replies to : 586
Tweet : 2416
Mentions : 604
Self-Loops : 2441
Reciprocated Vertex Pair Ratio : 0.00965177895533687
Reciprocated Edge Ratio : 0.0191190253045923
Connected Components : 1678
Single-Vertex Connected Components : 1094
Maximum Vertices in a Connected Component : 1529
Maximum Edges in a Connected Component : 3373
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.585156
Graph Density : 0.000124408703040553
Modularity : 0.482912
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,549 Twitter users whose tweets in the requested range contained "Listeria", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 25 October 2020 at 17:29 UTC.
The requested start date was Sunday, 25 October 2020 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, 23-hour, 8-minute period from Sunday, 11 October 2020 at 00:51 UTC to Saturday, 24 October 2020 at 23:59 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 : Listeria
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:
[1484] listeria,outbreak [1136] listeria,queso [1050] queso,cabra [877] deli,meats [871] presencia,listeria [851] blue,bell [819] linked,deli [745] outbreak,linked [702] vendido,lidl [666] 10,people Top Word Pairs in Tweet in G1:
[285] listeria,outbreak [215] deli,meats [198] blue,bell [173] linked,deli [138] cdc,warns [130] outbreak,linked [127] multi,state [123] state,listeria [121] warns,multi [98] former,blue Top Word Pairs in Tweet in G2:
[458] listeria,outbreak [310] 10,people [309] cnn,listeria [309] outbreak,sickened [309] sickened,10 [309] people,three [309] three,states [309] states,centers [309] centers,disease [309] disease,control Top Word Pairs in Tweet in G3:
[266] linked,deli [250] 10,people [249] deli,meat [243] listeria,outbreak [243] deli,meats [241] outbreak,linked [224] outbreak,alert [224] alert,10 [224] people,hospitalized [224] hospitalized,listeria Top Word Pairs in Tweet in G4:
[280] listeria,queso [269] alerta,sanitaria [268] sanitaria,españa [268] españa,tras [268] tras,detectar [268] detectar,listeria [144] queso,vendido [144] vendido,supermercado [138] a3noticias,alerta [127] queso,rulo Top Word Pairs in Tweet in G5:
[259] listeria,queso [254] cabra,vendido [254] vendido,lidl [252] queso,cabra [244] alertan,presencia [244] presencia,listeria [241] lidl,fabricado [241] fabricado,empresa [241] empresa,países [241] países,bajos Top Word Pairs in Tweet in G6:
[235] blue,bell [231] bell,creameries [230] ice,cream [223] former,blue [221] listeria,contamination [220] creameries,president [220] president,charged [220] charged,connection [220] connection,2015 [220] 2015,ice Top Word Pairs in Tweet in G7:
[187] flash,#carrefour [187] #carrefour,rappelle [187] rappelle,plus [187] plus,dizaine [187] dizaine,produits [187] produits,mis [187] mis,vente [187] vente,ses [187] ses,rayons [187] rayons,#produits Top Word Pairs in Tweet in G8:
[149] queso,cabra [148] presencia,listeria [130] listeria,queso [130] tienes,lote [130] lote,consumas [129] alerta,presencia [129] cabra,vendido [129] vendido,lidl [129] lidl,tienes [128] elmundoes,alerta Top Word Pairs in Tweet in G9:
[92] listeria,monocytogenes [71] queso,rulo [71] rulo,cabra [70] monocytogenes,queso [69] presencia,listeria [69] alerta,alimentaria [67] alimentaria,presencia [66] información,#aesan [66] #aesan,alerta [66] cabra,casos Top Word Pairs in Tweet in G10:
[14] listeria_ly,10 [9] 岐阜県,fuckin_acid [8] #原神,#genshin [6] フィッシュル,#原神 [5] listeria_ly,わかる [5] listeria_ly,せやな [4] 大田区,東京都 [4] #原神,#genshinimpact [4] gt,코가네 [4] 코가네,코가네ㅡ Top Replied-To in Entire Graph:
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 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: