The graph represents a network of 1,272 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, 24 November 2019 at 07:41 UTC.
The requested start date was Sunday, 24 November 2019 at 01:01 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, 8-hour, 31-minute period from Sunday, 10 November 2019 at 01:34 UTC to Saturday, 23 November 2019 at 10:05 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 : 1272
Unique Edges : 1895
Edges With Duplicates : 504
Total Edges : 2399
Number of Edge Types : 3
Mentions : 2090
Tweet : 261
Replies to : 48
Self-Loops : 261
Reciprocated Vertex Pair Ratio : 0.0177705977382876
Reciprocated Edge Ratio : 0.0349206349206349
Connected Components : 181
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 549
Maximum Edges in a Connected Component : 1352
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.639593
Graph Density : 0.0011690393836379
Modularity : 0.708483
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,272 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, 24 November 2019 at 07:41 UTC.
The requested start date was Sunday, 24 November 2019 at 01:01 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, 8-hour, 31-minute period from Sunday, 10 November 2019 at 01:34 UTC to Saturday, 23 November 2019 at 10:05 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:
[157] #sustainability,#sdgs [152] countries,reward [152] reward,drivers [152] drivers,buying [152] buying,electric [152] electric,cars [152] cars,wef [152] wef,cisgroupuk [152] cisgroupuk,#sustainability [152] #sdgs,#futureofwork Top Word Pairs in Tweet in G1:
[151] countries,reward [151] reward,drivers [151] drivers,buying [151] buying,electric [151] electric,cars [151] cars,wef [151] wef,cisgroupuk [151] cisgroupuk,#sustainability [151] #sustainability,#sdgs [151] #sdgs,#futureofwork Top Word Pairs in Tweet in G2:
[128] србија,наставља [128] наставља,са [128] са,реформама [128] реформама,због [128] због,својих [128] својих,грађана [128] грађана,и [128] и,своје [128] своје,будућности [128] будућности,хоћемо Top Word Pairs in Tweet in G3:
[51] woz,#wef [35] wochenzeitung,#wef [32] die,woz [31] #wef,unerwünscht [30] wochenzeitung,die [20] ausschluss,woz [20] #wef,sorgte [20] sorgte,empörung [20] empörung,trotzdem [20] trotzdem,blieben Top Word Pairs in Tweet in G4:
[14] world,economic [14] economic,forum [8] advancing,science [8] science,#microbiome [8] #microbiome,making [8] making,useful [8] useful,largest [8] largest,human [8] human,#microbiome [8] #microbiome,dataset Top Word Pairs in Tweet in G5:
[82] bald,wieder [82] wieder,#wef [82] #wef,zeit [82] zeit,000 [82] 000,steinreiche [82] steinreiche,typen [82] typen,eigenem [82] eigenem,privatjet [82] privatjet,reisen [82] reisen,#dübendorf Top Word Pairs in Tweet in G6:
[23] nydnsports,#trumpism [23] #trumpism,racist [23] racist,xenophobic [23] xenophobic,rant [23] rant,hd [22] janetholder_iam,nydnsports [16] #lawenforcement,#businesses [16] #businesses,need [16] need,join [16] join,forces Top Word Pairs in Tweet in G7:
[40] theme,2019 [21] country,hosting [21] hosting,#brics [21] #brics,11th [21] 11th,summit [21] summit,2019 [21] 2019,#brazil [21] #brazil,theme [21] 2019,#bricssummit [21] #bricssummit,brics Top Word Pairs in Tweet in G8:
[26] interview,#marietatibouet [26] #marietatibouet,#cmo [26] #cmo,according [26] according,#wef [26] #wef,overall [26] overall,female [26] female,presence [25] official_ckm,interview [25] presence,cr Top Word Pairs in Tweet in G9:
[25] world's,largest [25] largest,economies [25] economies,2030 [25] 2030,أكبر [25] أكبر,اقتصادات [25] اقتصادات,العالم [25] العالم,المتوقعة [25] المتوقعة,مع [25] مع,حلول [25] حلول,عام Top Word Pairs in Tweet in G10:
[9] latest,#wef [9] #wef,davos [9] davos,dispatch [7] critical,#imf [7] solution,global [5] hike,davos [5] agree,pls [5] pls,#oecd [5] #oecd,#wef [4] strike_wef,#wef Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
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: