The graph represents a network of 1,043 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, 12 April 2020 at 02:15 UTC.
The requested start date was Sunday, 12 April 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, 15-hour, 41-minute period from Sunday, 29 March 2020 at 08:19 UTC to Sunday, 12 April 2020 at 00:00 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 : 1043
Unique Edges : 1135
Edges With Duplicates : 852
Total Edges : 1987
Number of Edge Types : 4
MentionsInRetweet : 1403
Mentions : 266
Replies to : 46
Tweet : 272
Self-Loops : 272
Reciprocated Vertex Pair Ratio : 0.0238095238095238
Reciprocated Edge Ratio : 0.0465116279069767
Connected Components : 227
Single-Vertex Connected Components : 120
Maximum Vertices in a Connected Component : 296
Maximum Edges in a Connected Component : 649
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.267091
Graph Density : 0.001107833412771
Modularity : 0.589427
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 1,043 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, 12 April 2020 at 02:15 UTC.
The requested start date was Sunday, 12 April 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, 15-hour, 41-minute period from Sunday, 29 March 2020 at 08:19 UTC to Sunday, 12 April 2020 at 00:00 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:
[296] world,economic [288] economic,forum [259] #imperial,college [250] elleprovocateur,#covid19 [228] #covid19,important [228] important,thread [227] thread,#imperial [225] forum,#wef [216] college,world [214] #wef,#salesforce Top Word Pairs in Tweet in G1:
[259] #imperial,college [251] world,economic [251] economic,forum [250] elleprovocateur,#covid19 [228] #covid19,important [228] important,thread [227] thread,#imperial [216] college,world [214] forum,#wef [212] #wef,#salesforce Top Word Pairs in Tweet in G2:
[17] world,economic [17] economic,forum [14] supply,chain [9] #blockchain,#wef [8] covid,19 [7] critical,#imf [7] solution,global [6] blockchain,help [6] help,calm [6] calm,global Top Word Pairs in Tweet in G3:
[35] 70,world's [35] world's,healthcare [35] healthcare,staff [35] staff,women [35] women,according [35] according,wef [35] wef,25 [35] 25,global [35] global,leaders [35] leaders,female Top Word Pairs in Tweet in G4:
[33] herd,markhor [33] markhor,toshi [33] toshi,shahsha [33] shahsha,conservancy [33] conservancy,#chitral [33] #chitral,#kp [33] #kp,#biodiversity [33] #biodiversity,#wildlifefrommywindow [33] #wildlifefrommywindow,#wef [32] btap2015,herd Top Word Pairs in Tweet in G5:
[15] yes,billgates [15] billgates,œourðÿœžis [15] œourðÿœžis,richer [15] richer,before [15] before,income [15] income,global [15] global,growth [15] growth,trickles [15] trickles,down [14] dearsarah,yes Top Word Pairs in Tweet in G6:
[22] gop,ivankatrump [22] ivankatrump,trump [22] trump,advisors [22] advisors,jared [22] jared,ivanka [22] ivanka,#davos [22] #davos,million [22] million,taxpayer [22] taxpayer,funded [22] funded,luxury Top Word Pairs in Tweet in G7:
[14] #stayhomestaysafe,#afterparkland [14] #afterparkland,#filmmakers [14] #filmmakers,discuss [14] discuss,#gunviolence [14] #gunviolence,cmrubinworld [14] cmrubinworld,#wellbeing [14] #wellbeing,#bbc [14] #bbc,#wef [12] oaklandplanning,#schooltocareer [12] #schooltocareer,program Top Word Pairs in Tweet in G8:
[25] janetholder_iam,northpolenews8 [25] northpolenews8,jjhorgan [25] jjhorgan,bcndp [25] bcndp,kennedystewart [25] kennedystewart,adriandix [25] adriandix,udibc [25] udibc,justintrudeau [25] justintrudeau,gt [24] kennedystewart,gt [24] homelessdave0,janetholder_iam Top Word Pairs in Tweet in G9:
[9] ways,humans [9] humans,partner [9] partner,animals [9] animals,more [9] more,sustainable [9] sustainable,planet [9] planet,#covid2019 [9] #covid2019,#sustainability [9] #sustainability,#wef [8] achyutaghosh,ways Top Word Pairs in Tweet in G10:
[14] #davos,#air [14] #air,#alps [14] #alps,#elite [14] #elite,#lake [14] #lake,#wef [14] #wef,#resort [14] #resort,#ski [14] #ski,#elixir [14] #elixir,#scenic [14] #scenic,#photo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: