The graph represents a network of 8,728 Twitter users whose tweets in the requested range contained "Davos", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 25 December 2022 at 02:11 UTC.
The requested start date was Sunday, 25 December 2022 at 01:01 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 4-day, 2-hour, 5-minute period from Tuesday, 20 December 2022 at 22:54 UTC to Sunday, 25 December 2022 at 01:00 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 : 8728
Unique Edges : 5266
Edges With Duplicates : 11874
Total Edges : 17140
Number of Edge Types : 5
Retweet : 5414
MentionsInRetweet : 7400
Tweet : 952
Replies to : 1378
Mentions : 1996
Self-Loops : 1001
Reciprocated Vertex Pair Ratio : 0.00636299363700636
Reciprocated Edge Ratio : 0.0126455238859896
Connected Components : 1090
Single-Vertex Connected Components : 366
Maximum Vertices in a Connected Component : 5347
Maximum Edges in a Connected Component : 12609
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.04188
Graph Density : 0.000130813933642729
Modularity : 0.568282
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,728 Twitter users whose tweets in the requested range contained "Davos", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 25 December 2022 at 02:11 UTC.
The requested start date was Sunday, 25 December 2022 at 01:01 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 4-day, 2-hour, 5-minute period from Tuesday, 20 December 2022 at 22:54 UTC to Sunday, 25 December 2022 at 01:00 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 : 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:
[1289] wef,davos [1146] annual,meeting [1121] january,2023 [1113] 16,20 [1110] 20,january [1097] klosters,16 [1097] davos,annual [1096] taking,place [1095] next,wef [1095] meeting,taking Top Word Pairs in Tweet in G1:
[1058] 16,20 [1058] wef,davos [1058] 20,january [1058] annual,meeting [1058] davos,annual [1058] klosters,16 [1057] next,wef [1057] january,2023 [1057] 2023,meeting [1057] meeting,taking Top Word Pairs in Tweet in G2:
[893] elonmusk,tornou [893] verdadeira,ameaça [893] twitter,elonmusk [893] filtro,uma [893] informação,sem [893] ferramenta,informação [893] sem,filtro [893] uma,ferramenta [893] ameaça,projeto [893] tornou,uma Top Word Pairs in Tweet in G3:
[58] daily,pic [22] annual,meeting [16] meeting,2023 [15] wef's,annual [15] 2023,davos [15] wef,davos [14] davos,wef [13] 16,20 [12] january,2023 [12] 20,january Top Word Pairs in Tweet in G4:
[27] world,economic [27] economic,forum [22] need,know [22] davos,2023 [20] app,accenture [20] free,app [20] help,stay [20] ve,covered [20] foresight,bring [20] know,straight Top Word Pairs in Tweet in G5:
[239] #cdc,#bigpharma [239] bus,spotted [239] #schwab,#cdc [239] #gates,#schwab [239] #fauci,#gates [239] wanted,bus [239] dc,#fauci [239] #bigpharma,#worldeconomicfourm [239] yes,wanted [239] spotted,dc Top Word Pairs in Tweet in G6:
[265] nothing,fucks [265] harder,time [265] fucks,harder [265] time,davos [264] asoiafquotesgot,nothing Top Word Pairs in Tweet in G7:
[98] davos,2023 [95] economic,forum [95] digital,concentration [95] world,economic [95] digital,identity [95] digital,health [95] camp,digital [95] announce,global [95] concentration,camp [95] global,digital Top Word Pairs in Tweet in G8:
[85] soignantes,prostituent [85] personnels,suicident [85] prostituent,combien [85] d'autres,personnels [85] yvespdb,combien [85] combien,d'autres [85] combien,soignantes [85] suicident,cherchez [84] fabricewilliam0,yvespdb [27] fuellmich,l'un Top Word Pairs in Tweet in G9:
[88] modeste,schwartz [88] suivez,recettes [88] davos,réussir [88] recettes,davos [88] mieux,votre [88] catastrophe,par [88] votre,catastrophe [88] réussir,mieux [88] par,modeste [60] cstrateges,suivez Top Word Pairs in Tweet in G10:
[3] pfizer,ceo [3] digital,id [3] interesting,elites [3] elites,digital [3] wef,davos [3] outside,secure [3] zone,davos [3] ingestible,pills [3] tech,davos [3] secure,zone Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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