The graph represents a network of 17,685 Twitter users whose recent tweets contained "Bayer", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 15 June 2019 at 03:45 UTC.
The tweets in the network were tweeted over the 6-day, 6-hour, 18-minute period from Saturday, 08 June 2019 at 19:40 UTC to Saturday, 15 June 2019 at 01:58 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 : 17685
Unique Edges : 23469
Edges With Duplicates : 8093
Total Edges : 31562
Self-Loops : 5240
Reciprocated Vertex Pair Ratio : 0.0210795273075695
Reciprocated Edge Ratio : 0.0412887081639037
Connected Components : 3809
Single-Vertex Connected Components : 2330
Maximum Vertices in a Connected Component : 9285
Maximum Edges in a Connected Component : 22066
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 7.229413
Graph Density : 7.15574912114329E-05
Modularity : 0.686146
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3558] bayer,leverkusen [1792] moussa,diaby [799] au,bayer [661] bayer,monsanto [593] psg,et [525] laura,ingraham [512] moussa,#diaby [509] leverkusen,contre [491] 15,m [472] 20,à Top Word Pairs in Tweet in G1:
[395] bayer,leverkusen [229] bayer,monsanto [156] moussa,diaby [125] invest,5 [118] bayer,invest [117] cancer,causing [115] monsanto,over [114] more,2b [114] against,bayer [113] latest,findings Top Word Pairs in Tweet in G2:
[135] monsanto,bayer [97] bayer,monsanto [86] genetically,modified [81] former,monsanto [81] bayer,exec [81] exec,serving [81] serving,dept [81] dept,interior [81] interior,uses [81] uses,position Top Word Pairs in Tweet in G3:
[1546] bayer,leverkusen [1307] moussa,diaby [735] au,bayer [577] psg,et [503] leverkusen,contre [486] moussa,#diaby [483] 15,m [462] 20,à [462] à,revente [437] contre,15 Top Word Pairs in Tweet in G4:
[588] bayer,leverkusen [290] leon,bailey [218] transfer,ban [138] ban,appeal [136] kai,havertz [132] moussa,diaby [131] chelsea,revive [131] revive,interest [131] interest,bayer [127] interest,signing Top Word Pairs in Tweet in G5:
[396] each,retweet [396] retweet,comment [394] sponsors,tagged [394] tagged,notified [394] notified,each [391] designationsix,here [237] here,foxnews [235] foxnews,sponsors [231] comment,tampax [230] tampax,unive Top Word Pairs in Tweet in G6:
[375] inter,milan [375] milan,serie [375] serie,4th [375] 4th,bayer [375] bayer,leverkusen [375] leverkusen,bundesliga [375] bundesliga,4th [375] 4th,valencia [375] valencia,liga [375] liga,4th Top Word Pairs in Tweet in G7:
[53] tucker,carlson [36] laura,ingraham [34] juddlegum,bayer [27] tuckercarlson,ingrahamangle [25] following,series [25] series,xenophobic [25] xenophobic,bigoted [25] bigoted,misogynist [25] misogynist,comments [25] comments,tucker Top Word Pairs in Tweet in G8:
[152] laura,ingraham [149] advertiser,bayer [148] last,week [147] ingraham,lost [147] lost,#2 [147] #2,frequent [147] frequent,advertiser [147] bayer,last [147] week,defending [147] defending,open Top Word Pairs in Tweet in G9:
[36] bayer_fr,#bayer [31] nous,avons [26] 60millions,bayer_fr [22] basf,bayer [22] lemoineconseil,60millions [21] après,journée [21] journée,travail [21] travail,complète [21] complète,prétendument [21] prétendument,offerte Top Word Pairs in Tweet in G10:
[24] looking,#compchem [24] #compchem,#job [24] #job,#berlin [24] #berlin,computational [24] computational,molecular [24] molecular,design [24] design,group [24] group,within [24] within,new [24] new,bayer Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: