The graph represents a network of 772 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, 01 December 2019 at 07:42 UTC.
The requested start date was Sunday, 01 December 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, 10-hour, 36-minute period from Sunday, 17 November 2019 at 02:28 UTC to Saturday, 30 November 2019 at 13:04 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 : 772
Unique Edges : 977
Edges With Duplicates : 499
Total Edges : 1476
Number of Edge Types : 3
Mentions : 1202
Tweet : 248
Replies to : 26
Self-Loops : 248
Reciprocated Vertex Pair Ratio : 0.0335781741867786
Reciprocated Edge Ratio : 0.0649746192893401
Connected Components : 176
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 197
Maximum Edges in a Connected Component : 395
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.52712
Graph Density : 0.00165487254961258
Modularity : 0.656966
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 772 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, 01 December 2019 at 07:42 UTC.
The requested start date was Sunday, 01 December 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, 10-hour, 36-minute period from Sunday, 17 November 2019 at 02:28 UTC to Saturday, 30 November 2019 at 13:04 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:
[77] న,యక [77] ల,క [66] economic,forum [52] join,meet [51] wef,gurugram [51] world,economic [45] రప,చ [45] చ,ల [45] ల,top [45] top,20 Top Word Pairs in Tweet in G1:
[17] advancing,science [17] science,#microbiome [17] #microbiome,making [17] making,useful [16] world,economic [16] economic,forum [16] useful,largest [15] largest,human [14] human,#microbiome [13] #microbiome,dataset Top Word Pairs in Tweet in G2:
[36] wochenzeitung,#wef [22] woz,#wef [20] ausschluss,woz [20] #wef,sorgte [20] sorgte,empörung [20] empörung,trotzdem [20] trotzdem,blieben [20] blieben,fast [20] fast,alle [20] alle,grossen Top Word Pairs in Tweet in G3:
[9] world,economic [9] economic,forum [8] wef,#wef [7] #wef,wef [5] global,pact [5] pact,eizmann [5] stories,elmessaoudiaziz [5] elmessaoudiaziz,#azizelmessaoudi [4] eizmann,stories [4] week,geneva Top Word Pairs in Tweet in G4:
[70] న,యక [70] ల,క [40] ప,రప [40] రప,చ [40] చ,ల [40] ల,top [40] top,20 [40] 20,న [40] యక,లల [40] లల,ఒకర Top Word Pairs in Tweet in G5:
[32] pulsera,indica [32] indica,#alimentos [32] #alimentos,comprar [32] comprar,tiendas [32] tiendas,#adn [32] #adn,#salud [32] #salud,#wef [31] wef_es,pulsera [5] alta,#huellaambiental [5] #huellaambiental,ver Top Word Pairs in Tweet in G6:
[19] bernardo1130,kennedystewart [19] kennedystewart,sadhuajohnston [19] sadhuajohnston,christineeboyle [19] christineeboyle,adrianecarr [19] adrianecarr,melissadegenova [18] homelessdave0,bernardo1130 [9] theprovince,#vanpoli [9] #vanpoli,#wef [9] #wef,#yvr [9] #yvr,ultimate Top Word Pairs in Tweet in G7:
[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 G8:
[52] join,meet [51] wef,gurugram [44] womenecoforum,join [44] gurugram,2019 [42] 2019,delhi [37] delhi,india [29] india,taking [22] taking,place [22] place,20 [20] 20,22 Top Word Pairs in Tweet in G9:
[13] #nywea,#wef [12] #wef,#nyfloods [9] #nyfloods,#watersworthit [9] #watersworthit,#stormwater [7] jayme,thomann [7] thomann,gflrpc [7] gflrpc,mary [7] mary,austerman [7] austerman,nyseagrant [7] nyseagrant,outline Top Word Pairs in Tweet in G10:
[11] notes,juncture [11] juncture,#wef [11] #wef,partnered [11] partnered,june [11] june,13 [11] 13,2019 [11] 2019,gore [11] gore,serves [11] serves,member [11] member,world Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
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: