The graph represents a network of 5,513 Twitter users whose tweets in the requested range contained "#WEF", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 16 January 2022 at 02:19 UTC.
The requested start date was Sunday, 16 January 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, 13-hour, 22-minute period from Tuesday, 11 January 2022 at 11:31 UTC to Sunday, 16 January 2022 at 00:53 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 : 5513
Unique Edges : 4087
Edges With Duplicates : 11340
Total Edges : 15427
Number of Edge Types : 5
Tweet : 1397
Retweet : 4958
MentionsInRetweet : 6341
Replies to : 1087
Mentions : 1644
Self-Loops : 1551
Reciprocated Vertex Pair Ratio : 0.0073074064899678
Reciprocated Edge Ratio : 0.0145087913439075
Connected Components : 609
Single-Vertex Connected Components : 335
Maximum Vertices in a Connected Component : 4206
Maximum Edges in a Connected Component : 13637
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.360821
Graph Density : 0.000267641571301189
Modularity : 0.427458
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,513 Twitter users whose tweets in the requested range contained "#WEF", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 16 January 2022 at 02:19 UTC.
The requested start date was Sunday, 16 January 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, 13-hour, 22-minute period from Tuesday, 11 January 2022 at 11:31 UTC to Sunday, 16 January 2022 at 00:53 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 : #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:
[692] world,economic [690] economic,forum [449] door,#wef [436] #wef,world [420] ondertussen,dit [420] dit,gaande [420] gaande,apeldoorn [420] apeldoorn,uitverkoren [420] uitverkoren,door [420] forum,deel Top Word Pairs in Tweet in G1:
[119] met,#wef [89] world,economic [89] economic,forum [72] samenwerking,met [55] welk,verkiezingsprogramma [55] verkiezingsprogramma,staat [52] deze,mensen [52] mensen,werken [52] werken,niet [52] niet,ons Top Word Pairs in Tweet in G2:
[119] oproep,aan [119] aan,alle [119] alle,nederlanders [119] nederlanders,hebt [119] hebt,goed [119] goed,gedocumenteerde [119] gedocumenteerde,kennis [119] kennis,liefst [119] liefst,uit [119] uit,eerste Top Word Pairs in Tweet in G3:
[213] vertrouwen,minister [213] minister,kuipers [213] kuipers,#d66 [213] #d66,totaal [213] totaal,niet [213] niet,aan [213] aan,hem [213] hem,ligt [213] ligt,blijft [213] blijft,nederland Top Word Pairs in Tweet in G4:
[294] world,economic [294] economic,forum [293] #wef,world [290] door,#wef [289] ondertussen,dit [289] dit,gaande [289] gaande,apeldoorn [289] apeldoorn,uitverkoren [289] uitverkoren,door [289] forum,deel Top Word Pairs in Tweet in G5:
[23] world,economic [21] economic,forum [14] great,reset [9] #wef,#klausschwab [9] klaus,schwab [9] #wef,#greatreset [8] global,risks [8] forum,#wef [6] #wef,#thegreatreset [5] covid,19 Top Word Pairs in Tweet in G6:
[100] #csr,#corpgov [82] learn,try [80] #corpgov,#aml [80] #aml,#crypto [80] #crypto,#finserv [80] #finserv,#wef [80] #wef,#datagovernance [76] #datagovernance,#futureofwork [76] #futureofwork,#insurtech [76] #insurtech,#fintech Top Word Pairs in Tweet in G7:
[146] dagen,actief [146] actief,lid [145] lid,tweede [145] tweede,kamer [130] werkt,samen [130] samen,met [130] met,haar [129] segers,vandaag [129] vandaag,3403 [129] 3403,dagen Top Word Pairs in Tweet in G8:
[111] 1971,#greenpeace [111] #greenpeace,founded [111] founded,bc [111] bc,oppose [111] oppose,#nuclear [111] #nuclear,testing [111] testing,alaska [111] alaska,photograph [111] photograph,greenpeace [111] greenpeace,co Top Word Pairs in Tweet in G9:
[19] klaus,schwab [17] freue,zusammen [17] zusammen,wef [17] wef,gründer [17] gründer,klaus [17] schwab,vereinbarung [17] vereinbarung,unterzeichnen [16] ignaziocassis,freue [16] unterzeichnen,integriere [11] global,risks Top Word Pairs in Tweet in G10:
[53] ondertussen,heerlen [53] heerlen,hebben [53] hebben,boa's [53] boa's,opdracht [53] opdracht,gekregen [53] gekregen,deze [53] deze,geweldige [53] geweldige,#wef [53] #wef,filmposters [53] filmposters,verwijderen Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: