The graph represents a network of 1,266 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, 31 May 2020 at 02:15 UTC.
The requested start date was Sunday, 31 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 6-hour, 55-minute period from Sunday, 17 May 2020 at 00:36 UTC to Saturday, 30 May 2020 at 07:32 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 : 1266
Unique Edges : 799
Edges With Duplicates : 2011
Total Edges : 2810
Number of Edge Types : 5
Retweet : 907
MentionsInRetweet : 1274
Mentions : 278
Tweet : 315
Replies to : 36
Self-Loops : 341
Reciprocated Vertex Pair Ratio : 0.00701754385964912
Reciprocated Edge Ratio : 0.0139372822299652
Connected Components : 256
Single-Vertex Connected Components : 136
Maximum Vertices in a Connected Component : 505
Maximum Edges in a Connected Component : 1392
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.324295
Graph Density : 0.000896040562226427
Modularity : 0.484862
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,266 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, 31 May 2020 at 02:15 UTC.
The requested start date was Sunday, 31 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 6-hour, 55-minute period from Sunday, 17 May 2020 at 00:36 UTC to Saturday, 30 May 2020 at 07:32 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 G2:
[86] world,economic [86] economic,forum [86] #forex,#forexcrunch [86] #forexcrunch,#fxtpsignals [86] #fxtpsignals,#worldfirstfx [86] #worldfirstfx,#trade [86] #trade,#cboe [85] #cboe,#learnvest [85] #learnvest,#stocktwits [22] #stocktwits,#forexmarket Top Word Pairs in Tweet in G3:
[15] عمران,خان [15] world,economic [11] economic,forum [11] imran,khan [11] emergency,session [11] first,time [11] pm,imran [11] سے,خطاب [11] lead,emergency [11] session,#worldeconomicforum Top Word Pairs in Tweet in G4:
[38] #imperial,college [32] #covid19,important [32] important,thread [31] thread,#imperial [30] college,world [27] world,economic [26] economic,forum [26] forum,#wef [24] #wef,#salesforce [24] elleprovocateur,#covid19 Top Word Pairs in Tweet in G5:
[40] وزیراعظم,عمران [34] عمران,خان [34] خان,wef [34] wef,کے [34] کے,آن [34] آن,لائن [34] لائن,سیشن [34] سیشن,سے [34] سے,خطاب [27] خطاب,کریں Top Word Pairs in Tweet in G6:
[22] postponement,ocean [22] ocean,conference [22] conference,#wef [22] #wef,friends [22] friends,ocean [22] ocean,action [22] action,organised [22] organised,virtual [22] virtual,ocean [22] thomsonfiji,postponement Top Word Pairs in Tweet in G7:
[49] wednesday,27th [49] 27th,join [49] join,2nd [49] 2nd,edition [49] edition,#meettheshapers [49] #meettheshapers,ebenezar [49] ebenezar,wikina [49] wikina,global [49] global,shapers [48] shapers,port Top Word Pairs in Tweet in G8:
[9] prime,minister [9] #india,getting [9] getting,news [9] news,prime [9] minister,#imrankhan [9] #imrankhan,going [9] going,first [9] first,#pakistani [9] #pakistani,prime [9] isadiasheikh,#india Top Word Pairs in Tweet in G9:
[65] make,advanced [33] #4ir,#iot [33] transparency,accessibility [33] accessibility,agency [33] unlocking,#enterprise [33] #enterprise,blockchain [33] blockchain,potential [33] potential,low [33] low,code [32] code,capabilities Top Word Pairs in Tweet in G10:
[8] revolution,billion [5] billion,people [4] people,2020 [4] 2020,2030 [4] 2030,#wef [4] #wef,#davos [4] #davos,#xrpthestandard [4] xrpyoyo,revolution Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G7:
Top Replied-To in G9:
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: