The graph represents a network of 7,375 Twitter users whose recent tweets contained "#WEF", 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, 21 January 2020 at 16:31 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 43-minute period from Monday, 13 January 2020 at 12:01 UTC to Tuesday, 21 January 2020 at 15:45 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 : 7375
Unique Edges : 10798
Edges With Duplicates : 3134
Total Edges : 13932
Number of Edge Types : 5
MentionsInRetweet : 6853
Mentions : 2196
Replies to : 764
Retweet : 2444
Tweet : 1675
Self-Loops : 1730
Reciprocated Vertex Pair Ratio : 0.00472723834735747
Reciprocated Edge Ratio : 0.00940999341300461
Connected Components : 1072
Single-Vertex Connected Components : 686
Maximum Vertices in a Connected Component : 5085
Maximum Edges in a Connected Component : 11256
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.413173
Graph Density : 0.000195409432132136
Modularity : 0.697265
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 7,375 Twitter users whose recent tweets contained "#WEF", 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, 21 January 2020 at 16:31 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 43-minute period from Monday, 13 January 2020 at 12:01 UTC to Tuesday, 21 January 2020 at 15:45 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
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:
[982] #davos2020,#wef [763] #wef,#davos [665] #wef,#wef20 [574] #davos,#wef [560] economic,forum [542] world,economic [508] #wef20,#wef [487] #wef,#davos2020 [413] 50,edición [412] mundo,entero Top Word Pairs in Tweet in G1:
[271] #wef20,#wef [252] wef,borgebrende [176] wef,#wef20 [174] manifesto,2020 [173] borgebrende,world [173] davos,manifesto [162] #wef,#worldeconomicforum [137] 2020,annual [127] #davos,#davos2020 [121] #worldeconomicforum,#davos Top Word Pairs in Tweet in G2:
[88] world,economic [87] economic,forum [86] #wef,#davos [49] #davos,#wef [32] ahead,#wef [28] #wef,#davos2020 [27] #wef2020,#wef [23] fossil,fuel [23] #wef,#wef20 [22] climate,crisis Top Word Pairs in Tweet in G3:
[212] #wef,#davos [121] #strikewef,#wef [116] #by2020weriseup,#strikewef [116] #wef,#worldeconomicfailure [114] part,winter [114] winter,hiketo [114] hiketo,davos [114] davos,strike_wef [114] strike_wef,still [114] still,questions Top Word Pairs in Tweet in G4:
[626] #davos2020,#wef [411] mundo,entero [411] entero,mira [411] mira,hoy [411] hoy,#davos2020 [411] #wef,creo [411] creo,sorpresiva [411] sorpresiva,presencia [411] presencia,jguaido [411] jguaido,marcará Top Word Pairs in Tweet in G5:
[88] economic,forum [87] davos,#wef [86] world,economic [80] #wef,#wef20 [80] #wef,#davos [54] wef,davos [51] #wef20,#wef [47] realdonaldtrump,foxnews [45] #wef2020,#wef [42] #maga,#dts Top Word Pairs in Tweet in G6:
[189] #davos,#wef [167] #fridaysforfuture,#climateemergency [166] thank,gretathunberg [166] gretathunberg,ignore [166] ignore,negative [166] negative,personal [166] personal,attacks [166] attacks,twitter [166] twitter,make [166] make,personal Top Word Pairs in Tweet in G7:
[58] #wef,#davos2020 [44] #wef,#wef20 [44] gegen,#wef [43] bern,#wef [41] demo,gegen [41] gegen,weltwirtschaftsforum [38] keine,guten [38] guten,aussichten [38] aussichten,die [38] die,wahrheit Top Word Pairs in Tweet in G8:
[203] #davos,#davos20 [202] #davos20,#davos2020 [202] #wef20,#wef2020 [197] #wef,#wef20 [196] #davos2020,#wef [127] #wef2020,#worldeconomicforum [55] #worldeconomicforum,#climatestrike [54] #climatestrike,#cheetosvisibilityday [41] below,photo [41] photo,2020 Top Word Pairs in Tweet in G9:
[108] full,house [108] house,davos [108] davos,#wef [108] #wef,listen [108] listen,greta [108] greta,thunberg [44] amazing,#denmark [44] #denmark,gets [44] gets,half [44] half,#electrical Top Word Pairs in Tweet in G10:
[35] next,climate [35] climate,crisis [35] crisis,cyberattacks [35] cyberattacks,data [35] data,theft [35] theft,breakdown [35] breakdown,information [35] information,infrastructure [35] infrastructure,seen [35] seen,#wef Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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 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: