The graph represents a network of 4,890 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, 04 July 2021 at 01:11 UTC.
The requested start date was Sunday, 04 July 2021 at 00:01 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 13-day, 9-hour, 34-minute period from Sunday, 20 June 2021 at 00:09 UTC to Saturday, 03 July 2021 at 09:44 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 : 4890
Unique Edges : 3542
Edges With Duplicates : 9449
Total Edges : 12991
Number of Edge Types : 5
Tweet : 1540
Retweet : 3904
MentionsInRetweet : 5229
Replies to : 952
Mentions : 1366
Self-Loops : 1692
Reciprocated Vertex Pair Ratio : 0.0099728014505893
Reciprocated Edge Ratio : 0.0197486535008977
Connected Components : 555
Single-Vertex Connected Components : 262
Maximum Vertices in a Connected Component : 3366
Maximum Edges in a Connected Component : 10494
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.219666
Graph Density : 0.000279580929769722
Modularity : 0.456853
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,890 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, 04 July 2021 at 01:11 UTC.
The requested start date was Sunday, 04 July 2021 at 00:01 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 13-day, 9-hour, 34-minute period from Sunday, 20 June 2021 at 00:09 UTC to Saturday, 03 July 2021 at 09:44 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:
[346] #kaag,die [319] 't,#wef [281] #eu,#wef [273] #wef,stooge [268] klaus,#schwab [266] #orbán,heeft [266] heeft,zich [266] zich,opgeworpen [266] opgeworpen,'t [266] 't,noodlot Top Word Pairs in Tweet in G1:
[74] niet,alleen [71] over,#wef [68] adnl,fuik [68] fuik,getrapt [68] getrapt,#complotdenkers [68] #complotdenkers,door [68] door,stuk [68] stuk,over [68] #wef,schrijven [68] schrijven,niet Top Word Pairs in Tweet in G2:
[57] sajid,javid [45] #wef,puppet [33] build,back [32] back,better [29] javid,spent [29] spent,last [29] last,year [29] year,preparing [29] preparing,next [29] next,pandemic Top Word Pairs in Tweet in G3:
[207] 't,#wef [170] klaus,#schwab [169] #orbán,heeft [169] heeft,zich [169] zich,opgeworpen [169] opgeworpen,'t [169] 't,noodlot [169] noodlot,klaus [169] #schwab,'t [169] #wef,af Top Word Pairs in Tweet in G4:
[17] world,economic [17] economic,forum [11] #wef,#greatreset [10] #wef,#worldeconomicforum [9] klaus,schwab [9] great,reset [8] #klausschwab,#wef [7] #greatreset,#wef [7] bitcoin,paves [7] paves,way Top Word Pairs in Tweet in G5:
[194] #eu,#wef [194] #kaag,die [193] gewenste,kabinet [193] kabinet,nl [193] nl,bestaat [193] bestaat,uit [193] uit,#rutte [193] #rutte,die [193] die,liegt [193] liegt,#hoekstra Top Word Pairs in Tweet in G6:
[84] #wef,puppet [78] #billgates,#wef [77] horror,absolute [77] absolute,horror [77] horror,#billgates [73] wordwhisperer,horror [46] more,refuse [46] refuse,hear [46] hear,voice [46] voice,louder Top Word Pairs in Tweet in G7:
[66] #wef,#nwo [45] wef,dictatuur [33] #partijkartel,wef [19] wef,#wef [18] dictatuur,#wef [12] #partijkartel,#wef [11] #wef,#greatreset [10] #wef,#davos [9] #nwo,#wef [9] #who,#nwo Top Word Pairs in Tweet in G8:
[79] #kaag,die [71] #rutte,#kaag [66] moeten,af [66] af,#rutte [66] die,twee [66] twee,zijn [66] zijn,hoofdrot [66] hoofdrot,uitsluitpolitiek [66] uitsluitpolitiek,zijn [64] markdehollander,moeten Top Word Pairs in Tweet in G9:
[208] #wef,stooge [104] stooge,dead [104] dead,long [104] long,live [104] live,#wef [103] timfprice,#wef [2] another,#wef [2] bald,unapologetic [2] unapologetic,exposition [2] exposition,agenda Top Word Pairs in Tweet in G10:
[74] już,jest [74] jest,pełzający [74] pełzający,stan [74] stan,wojenny [74] wojenny,#wef [74] #wef,co [74] co,mnie [74] mnie,teraz [74] teraz,najbardziej [74] najbardziej,przeraża Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: