The graph represents a network of 398 Twitter users whose tweets in the requested range contained "eventtech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 07 June 2020 at 00:46 UTC.
The requested start date was Sunday, 07 June 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, 1-hour, 28-minute period from Sunday, 24 May 2020 at 07:30 UTC to Saturday, 06 June 2020 at 08:58 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 : 398
Unique Edges : 232
Edges With Duplicates : 837
Total Edges : 1069
Number of Edge Types : 5
Tweet : 304
Retweet : 252
MentionsInRetweet : 315
Mentions : 189
Replies to : 9
Self-Loops : 308
Reciprocated Vertex Pair Ratio : 0.057742782152231
Reciprocated Edge Ratio : 0.109181141439206
Connected Components : 115
Single-Vertex Connected Components : 60
Maximum Vertices in a Connected Component : 148
Maximum Edges in a Connected Component : 581
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.490826
Graph Density : 0.00255053605559283
Modularity : 0.387364
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 398 Twitter users whose tweets in the requested range contained "eventtech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 07 June 2020 at 00:46 UTC.
The requested start date was Sunday, 07 June 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, 1-hour, 28-minute period from Sunday, 24 May 2020 at 07:30 UTC to Saturday, 06 June 2020 at 08:58 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 : eventtech
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:
[16] #eventprofs,#eventtech [9] virtual,event [9] #eventtech,#eventprofs [9] #events,#eventprofs [9] #eventprofs,#meetingprofs [9] event,app [9] virtual,conference [9] app,made [9] made,travel [9] travel,store Top Word Pairs in Tweet in G3:
[25] #eventprofs,#eventtech [18] event,tech [13] set,five [12] five,day [11] day,bonanza [10] tech,live [9] virtual,event [8] live,set [8] year's,event [8] #eventtech,#etl20 Top Word Pairs in Tweet in G4:
[36] covid,19 [21] 19,join [18] join,community [18] community,share [18] share,stories [14] stories,blogs [13] blogs,#eventprofs [12] #eventprofs,#meetingprofs [11] #meetingprofs,#biztravel [9] #biztravel,#eventtech Top Word Pairs in Tweet in G5:
[10] #bartha,#eventtech [10] #eventtech,#meetings [10] #meetings,#travel [10] #avawards,entry [10] busy,putting [10] putting,finishing [10] finishing,touches [10] touches,#avawards [10] entry,need [10] need,help Top Word Pairs in Tweet in G6:
[8] #eventtech,#eventprofs [8] brellanetwork,join [7] hybrid,events [4] tomorrow,nbforumhq [3] nbforumhq,rethinking [3] rethinking,business [3] business,goes [3] goes,live [3] live,brellanetwork [3] join,platform Top Word Pairs in Tweet in G7:
[8] #ã,vã [5] intã,ressez [4] ressez,#futur [4] #futur,#prospective [4] #prospective,secteur [4] secteur,#ã [4] vã,nementiel [4] nementiel,#ã [4] vã,nements [4] nements,#eventtech Top Word Pairs in Tweet in G8:
[16] eventnewsblog,close [8] close,distancing [8] distancing,tool [8] tool,eases [8] eases,transition [8] transition,f2f [8] f2f,meetings [8] allseated,webinar [8] webinar,next [8] next,list Top Word Pairs in Tweet in G9:
[3] #edtech,rebus [3] #eventtech,ambas [3] #wexchangepodcastðÿž,quã [3] quã,tienen [3] tienen,comãºn [3] comãºn,arukayedu [3] arukayedu,compaã [3] compaã,#edtech [3] rebus,compaã [3] compaã,ia Top Word Pairs in Tweet in G10:
[9] exactly,same [9] same,scenario [7] scenario,thousands [7] thousands,micro [7] micro,businesses [7] businesses,events [7] events,industry [7] industry,one [7] one,worst [7] worst,hit Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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: