The graph represents a network of 12,512 Twitter users whose recent tweets contained "wef or davos", 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 Tuesday, 24 January 2023 at 09:59 UTC.
The tweets in the network were tweeted over the 10-day, 9-hour, 19-minute period from Friday, 13 January 2023 at 23:46 UTC to Tuesday, 24 January 2023 at 09:05 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 : 12512
Unique Edges : 25667
Edges With Duplicates : 1418
Total Edges : 27085
Number of Edge Types : 5
Retweet : 10234
Replies to : 4527
Mentions : 2811
Tweet : 615
MentionsInRetweet : 8898
Self-Loops : 643
Reciprocated Vertex Pair Ratio : 0.00168297455968689
Reciprocated Edge Ratio : 0.00336029383034423
Connected Components : 718
Single-Vertex Connected Components : 367
Maximum Vertices in a Connected Component : 10867
Maximum Edges in a Connected Component : 25483
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.297663
Graph Density : 0.000163494232492287
Modularity : 0.564883
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 12,512 Twitter users whose recent tweets contained "wef or davos", 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 Tuesday, 24 January 2023 at 09:59 UTC.
The tweets in the network were tweeted over the 10-day, 9-hour, 19-minute period from Friday, 13 January 2023 at 23:46 UTC to Tuesday, 24 January 2023 at 09:05 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 : TwitterSearch
Graph Term : wef or 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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5151] wef,davos [3555] davos,wef [3378] shellenbergermd,wef [3158] 4chan,davos [3157] game,show [3155] davos,game [3153] show,4chan [2049] climate,change [1987] private,jets [1935] people,davos Top Word Pairs in Tweet in G1:
[3469] wef,davos [3285] shellenbergermd,wef [3081] 4chan,davos [3080] game,show [3079] davos,game [3076] show,4chan [242] davos,wef [160] starmer,davos [159] davos,westminster [140] emily,maitlis Top Word Pairs in Tweet in G2:
[1811] private,jets [1811] people,davos [1811] jets,flying [1811] climate,change [1811] thousands,private [1811] allowed,gas [1811] wef,event [1811] stove,eat [1811] davos,wef [1811] flying,people Top Word Pairs in Tweet in G3:
[1055] davos,wef [1034] down,15 [1034] council,breaks [1034] member,swiss [1034] national,council [1034] districts,people [1034] swiss,national [1034] forum,harmony [1034] smart,neighbourhoods [1034] nature,bastien Top Word Pairs in Tweet in G4:
[739] wef,membership [739] unnamed,attendees [739] room,pay [739] 18,delegates [739] trip,p65m [739] read,analysis [739] cost,estimate [739] buying,p950 [739] pay,meals [739] membership,fees Top Word Pairs in Tweet in G5:
[928] wef,davos [457] trusted,report [457] special,guests [457] reporting,davos [457] pfizer,major [457] major,wef [457] reuters',boss [457] wef,reuters [457] pfizer,wef [457] davos,reuters Top Word Pairs in Tweet in G6:
[334] denied,based [334] decisions,future [334] 5000,military [334] patrolled,5000 [334] vote,focus [334] asked,vote [334] davos,closed [334] roads,davos [334] wef,roads [334] military,police Top Word Pairs in Tweet in G7:
[79] wef,davos [44] davos,wef [29] world,economic [29] economic,forum [23] #wef,#davos [20] meeting,davos [18] #davos,#wef [17] private,jets [16] wef,meeting [15] forum,wef Top Word Pairs in Tweet in G8:
[61] wef,davos [28] #wef,#davos [22] wef,profklausschwab [22] profklausschwab,georgesoros [22] georgesoros,billgates [21] life,lord [21] elect,wef [21] fbidirectorwray,govkemp [21] govkemp,johnkerry [21] billgates,fbidirectorwray Top Word Pairs in Tweet in G9:
[82] climate,change [79] rebelnewsonline,ezralevant [77] thunberg,thinks [77] ezralevant,calvinrobinson [77] change,cost [77] #climatescam,#netzero [77] insider,greta [77] greta,thunberg [77] thinks,climate [77] living,crisis Top Word Pairs in Tweet in G10:
[114] participation,world [114] wef,private [114] sovereignty,personal [114] detroit,news [114] whitmer,participation [114] michigan,tax [114] personal,liberty [114] tax,dollars [114] news,deceptively [114] national,sovereignty 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 G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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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: