The graph represents a network of 7,314 Twitter users whose recent tweets contained "Davos", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 02:12 UTC.
The tweets in the network were tweeted over the 1843-day, 17-hour, 25-minute period from Thursday, 25 January 2018 at 07:34 UTC to Sunday, 12 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 7314
Unique Edges : 4896
Edges With Duplicates : 12091
Total Edges : 16987
Number of Edge Types : 9
Retweet : 3031
MentionsInRetweet : 4529
Tweet : 1250
Mentions : 794
Replies to : 1805
MentionsInReplyTo : 4165
MentionsInQuote : 354
Quote : 215
MentionsInQuoteReply : 844
Self-Loops : 1709
Reciprocated Vertex Pair Ratio : 0.0219972067039106
Reciprocated Edge Ratio : 0.043047488896481
Connected Components : 1197
Single-Vertex Connected Components : 328
Maximum Vertices in a Connected Component : 2871
Maximum Edges in a Connected Component : 8559
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.87823
Graph Density : 0.000164169867521031
Modularity : 0.523115
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,314 Twitter users whose recent tweets contained "Davos", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 02:12 UTC.
The tweets in the network were tweeted over the 1843-day, 17-hour, 25-minute period from Thursday, 25 January 2018 at 07:34 UTC to Sunday, 12 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : Davos
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:
[278] jasonbskates,#davos [180] wef,davos [173] world,economic [166] economic,forum [165] klaus,schwab [158] foro,davos [143] communication,minister [142] innovation,indian [142] country,vision [142] share,country Top Word Pairs in Tweet in G1:
[53] rebel,news [51] journalist,masako [51] commander,ezralevant [51] ezralevant,spoke [51] masako,ganaha [51] independent,journalist [51] ganaha_masako,japan [51] ganaha,ganaha_masako [51] spoke,independent [51] news,commander Top Word Pairs in Tweet in G2:
[43] world,economic [39] economic,forum [27] davos,2023 [22] wef,davos [17] forum,davos [17] namo,app [13] 2023,india [13] economic,case [13] g20,minister [13] india,made Top Word Pairs in Tweet in G3:
[278] jasonbskates,#davos [47] stop,#artonice [47] third,final [47] final,stop [47] switzerland,third [47] tour,alexa_knierim [47] jasonbskates,davos [47] #artonice,tour [47] davos,switzerland Top Word Pairs in Tweet in G4:
[35] work,incomparable [35] marksteynonline,focuses [35] incomparable,marksteynonline [35] invaluable,forensic [35] forensic,journalistic [35] journalistic,work [34] spectatoroz,invaluable [34] focuses,simultaneo [23] ofcom,staff [23] returning,davos Top Word Pairs in Tweet in G5:
[13] 'this,become [13] become,exclusive [13] lobbyists,oligarchs [13] corporate,lobbyists [13] tammany,hall [13] translation,'this [13] oligarchs,war [13] fixers,corporate [13] exclusive,preserve [13] preserve,tammany Top Word Pairs in Tweet in G6:
[143] communication,minister [142] country,vision [142] innovation,indian [142] technology,innovation [142] minister,share [142] vision,technology [142] share,country [142] hope,communication [141] zulfiqarahmed69,hope [141] indian,communica Top Word Pairs in Tweet in G7:
[88] insectes,attrapiez [88] mangiez,insectes [88] article,davos [88] attrapiez,cancer [88] davos,ils [88] ils,veulent [88] veulent,mangiez [87] fleur50559050,article [87] cancer,expliquion [9] cinglés,davos Top Word Pairs in Tweet in G8:
[14] davos,bubble [14] bubble,chart [11] figures,congress [11] backtolife_2023,disgraceful [11] blatantly,clearly [11] disgraceful,senior [11] clearly,corrupt [11] senior,figures [11] corrupt,gore [11] congress,blatantly Top Word Pairs in Tweet in G9:
[41] monedas,digitales [41] universal,pagos [41] pagos,digitales [41] red,universal [41] monedas,estables [41] centrales,cbdc [41] estables,monedas [41] digitales,bancos [41] digitales,udpn [41] bancos,centrales Top Word Pairs in Tweet in G10:
[7] bidens,#nordstreamsabotage [7] disaster,history [7] earth,john [7] history,planet [7] joe,bidens [7] man,made [7] planet,earth [7] largest,man [7] #nordstreamsabotage,largest [7] environmental,disaster Top Replied-To in Entire Graph:
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Top Replied-To in G3:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: