The graph represents a network of 299 Twitter users whose recent tweets contained "#businessevents", 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 Wednesday, 12 June 2019 at 22:54 UTC.
The tweets in the network were tweeted over the 9-day, 13-hour, 44-minute period from Monday, 03 June 2019 at 08:05 UTC to Wednesday, 12 June 2019 at 21:49 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 : 299
Unique Edges : 303
Edges With Duplicates : 141
Total Edges : 444
Self-Loops : 162
Reciprocated Vertex Pair Ratio : 0.0785123966942149
Reciprocated Edge Ratio : 0.145593869731801
Connected Components : 101
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 39
Maximum Edges in a Connected Component : 78
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 1.810025
Graph Density : 0.00292922717784113
Modularity : 0.607468
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[28] #events,#businessevents [24] #wbepro,#worldbusinessevents [23] business,events [22] #worldbusinessevents,#events [21] event,name [19] more,details [18] details,#wbepro [17] 2019,location [16] #exhibition,#conference [15] #businessevents,#international Top Word Pairs in Tweet in G1:
[12] face,face [11] visit,tipclub [11] tipclub,meeting [11] experience,networking [11] networking,face [11] face,#tipclubinc [11] #tipclubinc,#networking [11] #networking,#buildrelationships [11] #evolve,#businessevents [11] #businessevents,#network Top Word Pairs in Tweet in G2:
[9] year,honoring [9] honoring,20 [9] 20,incredible [9] incredible,young [9] young,#eventprofs [9] #eventprofs,stars [9] stars,working [9] working,make [9] make,big [9] big,impact Top Word Pairs in Tweet in G3:
[5] business,events [3] melbourne's,capacity [3] capacity,accommodate [3] accommodate,delegates [3] delegates,large [3] large,scale [3] scale,business [3] events,increase [3] increase,hilton [3] hilton,set Top Word Pairs in Tweet in G4:
[8] speaking,atp2018 [8] atp2018,dr [8] dr,rob [8] rob,davidson [8] davidson,need [8] need,tell [8] tell,positive [8] positive,stories [8] stories,africa [8] africa,africa Top Word Pairs in Tweet in G5:
[6] #eventprofs,#meetingprofs [6] #businessevents,#meetinwales [6] #cardiff,inspiring [6] inspiring,#mice [6] #mice,venues [6] venues,strengthen [6] strengthen,sustainability [6] sustainability,credentials [5] meetincardiff,#cardiff [5] credentials,#eventprof Top Word Pairs in Tweet in G6:
[9] network,next [9] next,evolution [6] spectacular,evening [6] evening,hosted [6] hosted,nmsvenuehire [6] nmsvenuehire,hplevents [6] hplevents,launch [6] launch,legends [6] legends,#legacy [6] #legacy,network Top Word Pairs in Tweet in G7:
[2] come,meet [2] meet,vee [2] vee,i2marketing [2] i2marketing,live [2] live,direct [2] direct,art [2] art,giving [2] giving,20th [2] 20th,june [2] june,natwestbusiness Top Word Pairs in Tweet in G8:
[6] business,events [3] enhancing,africa's [3] africa's,competitiveness [3] competitiveness,business [3] events,destination [3] destination,theme [3] theme,2nd [3] 2nd,annual [3] annual,global [3] global,mice Top Word Pairs in Tweet in G9:
[5] event,africa [5] africa,issue [5] issue,3 [5] 3,out [5] out,now [5] now,issue [5] issue,re [5] re,looking [5] looking,#corporate [5] #corporate,getaways Top Word Pairs in Tweet in G10:
[3] beautiful,day [3] day,today [3] today,aberdeen [3] aberdeen,space [3] space,explore [3] explore,space [3] space,think [3] think,space [3] space,network [3] network,ideal Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
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: