The graph represents a network of 15,472 Twitter users whose recent tweets contained "#WEF20", 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 21:21 UTC.
The tweets in the network were tweeted over the 2-hour, 14-minute period from Tuesday, 21 January 2020 at 17:28 UTC to Tuesday, 21 January 2020 at 19:43 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 : 15472
Unique Edges : 24273
Edges With Duplicates : 7115
Total Edges : 31388
Number of Edge Types : 5
MentionsInRetweet : 19645
Retweet : 4952
Tweet : 1129
Replies to : 947
Mentions : 4715
Self-Loops : 1155
Reciprocated Vertex Pair Ratio : 0.00370170432636693
Reciprocated Edge Ratio : 0.00737610449481368
Connected Components : 455
Single-Vertex Connected Components : 224
Maximum Vertices in a Connected Component : 14431
Maximum Edges in a Connected Component : 30226
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.045248
Graph Density : 0.000108745006920577
Modularity : 0.683642
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 15,472 Twitter users whose recent tweets contained "#WEF20", 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 21:21 UTC.
The tweets in the network were tweeted over the 2-hour, 14-minute period from Tuesday, 21 January 2020 at 17:28 UTC to Tuesday, 21 January 2020 at 19:43 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 : #WEF20
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:
[2682] united,states [2277] economic,boom [2272] midst,economic [1986] realdonaldtrump,#wef20 [1944] world,economic [1936] president,realdonaldtrump [1922] economic,forum [1614] find,more [1548] forum,davos [1543] more,potus Top Word Pairs in Tweet in G1:
[2607] united,states [2205] midst,economic [2205] economic,boom [1924] realdonaldtrump,#wef20 [1852] president,realdonaldtrump [1491] find,more [1490] more,potus [1465] states,midst [1463] realdonaldtrump,spoke [1463] spoke,#wef20 Top Word Pairs in Tweet in G2:
[706] read,more [703] #howtosavetheplanet,#wef20 [679] message,davos [676] gretathunberg,given [676] given,message [675] more,time [675] time,#howtosavetheplanet [674] davos,read [490] greta,thunberg [214] #davos,#wef20 Top Word Pairs in Tweet in G3:
[244] #wef20,#davos2020 [233] wef,#wef20 [223] #mercerchats,#megachat [149] read,more [130] #wef20,wef [122] world,economic [118] economic,forum [117] #suiza,periodista [117] periodista,colaborador [117] colaborador,#adn40 Top Word Pairs in Tweet in G4:
[892] thanks,bofa_news [866] positive,impact [866] bofa_news,keeping [866] informed,#wef20 [865] re,harnessing [865] harnessing,#powerto [865] keeping,informed [864] #powerto,make [864] make,positive [864] impact,world Top Word Pairs in Tweet in G5:
[936] president,donald [935] donald,trump [921] prime,minister [911] media,talk [899] #usa,#kashmir [899] #kashmir,#wef20 [898] #pakistan,#usa [895] world,economic [895] economic,forum [893] talk,president Top Word Pairs in Tweet in G6:
[233] wef,davos [151] sadhgurujv,met [133] #wef20,wef [107] davos,#wef20 [89] icraf,wef [86] met,interacted [86] interacted,tony [86] tony,simmons [86] simmons,head [86] head,world Top Word Pairs in Tweet in G7:
[419] #davos,#wef20 [416] ivankatrump,#davos [409] cnn,acosta [409] acosta,catches [409] catches,ivankatrump [409] #wef20,#cnn [36] united,states [33] midst,economic [33] economic,boom [31] realdonaldtrump,#wef20 Top Word Pairs in Tweet in G8:
[158] mental,health [122] health,issues [69] drtedros,#wef20 [67] deepikapadukone,tlllfoundation [67] tlllfoundation,shares [67] shares,experiences [67] experiences,mental [67] issues,drtedros [67] #wef20,#healthyfutures [60] #wef20,#davos2020 Top Word Pairs in Tweet in G9:
[75] alibaba,grubu [75] grubu,ve [75] ve,mahindra [75] mahindra,grubu [75] grubu,başkanları [75] başkanları,yla [75] yla,ülkemizdeki [75] ülkemizdeki,yatırım [75] yatırım,planlarını [75] planlarını,görüştük Top Word Pairs in Tweet in G10:
[53] denmark,pays [53] pays,students [53] students,000 [53] 000,month [53] month,go [53] go,universities [53] universities,tuition [53] tuition,fees [53] fees,#wef20 [52] earth,billion Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: