The graph represents a network of 3,058 Twitter users whose tweets in the requested range contained "eventprofs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 27 April 2020 at 01:04 UTC.
The requested start date was Sunday, 26 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 4-day, 21-hour, 14-minute period from Monday, 20 April 2020 at 11:50 UTC to Saturday, 25 April 2020 at 09:05 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 : 3058
Unique Edges : 2483
Edges With Duplicates : 6188
Total Edges : 8671
Number of Edge Types : 5
MentionsInRetweet : 2602
Replies to : 101
Retweet : 1881
Mentions : 1982
Tweet : 2105
Self-Loops : 2135
Reciprocated Vertex Pair Ratio : 0.0745288406624786
Reciprocated Edge Ratio : 0.138719107095403
Connected Components : 673
Single-Vertex Connected Components : 392
Maximum Vertices in a Connected Component : 1746
Maximum Edges in a Connected Component : 6019
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.491391
Graph Density : 0.000402532822524209
Modularity : 0.417025
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 3,058 Twitter users whose tweets in the requested range contained "eventprofs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 27 April 2020 at 01:04 UTC.
The requested start date was Sunday, 26 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 4-day, 21-hour, 14-minute period from Monday, 20 April 2020 at 11:50 UTC to Saturday, 25 April 2020 at 09:05 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 : eventprofs
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:
[325] #eventprofs,#meetingprofs [196] filière,événementielle [193] organisations,professionnelles [193] professionnelles,filière [186] #events,#eventprofs [135] events,industry [118] covid,19 [109] #meetingprofs,#eventprofs [100] 100,000 [95] 000,#eventprofs Top Word Pairs in Tweet in G1:
[92] #eventprofs,#meetingprofs [33] ideas,#eventprofs [32] theeventsbot,generating [32] generating,amazing [32] amazing,article [32] article,ideas [32] #meetingprofs,booting [32] booting,gt [28] #eventprofs,#eventplanners [24] virtual,event Top Word Pairs in Tweet in G2:
[85] #eventprofs,#assnchat [76] #eventprofs,#meetingprofs [35] online,meetings [32] goes,next [26] #assnchat,#eventprofs [20] covid,19 [19] events,look [18] go,back [17] #eventprofs,go [17] back,work Top Word Pairs in Tweet in G3:
[192] filière,événementielle [190] organisations,professionnelles [190] professionnelles,filière [90] relayer,massivement [90] massivement,organisations [90] événementielle,s'unissent [90] s'unissent,proposent [84] levenementasso,relayer [84] proposent,go [83] événementielle,unissent Top Word Pairs in Tweet in G4:
[40] working,home [29] #eventprofstalk,#eventprofs [28] social,media [27] shocklogic,working [27] home,series [27] series,tip [21] next,week [21] shocklogic,shocklogic [17] #eventprofs,#meetingprofs [16] #eventprofstalk,hackathon Top Word Pairs in Tweet in G5:
[17] events,industry [15] virtual,discussion [14] #mpi,#pcma [14] make,distinction [13] #eventprofs,make [13] distinction,between [13] between,mass [13] mass,gatherings [13] gatherings,#conferences [13] #conferences,#exhibitions Top Word Pairs in Tweet in G6:
[81] 100,000 [78] 000,#eventprofs [72] #eventscreatechange,#earthday [69] one,100 [69] future,human [68] human,connection [66] #eventprofs,action [66] connection,happens [65] building,future [61] action,building Top Word Pairs in Tweet in G7:
[24] events,industry [12] uk,events [12] industry,eyes [12] eyes,september [12] road,recovery [10] covid,19 [9] #eventprofs,#eventtech [8] september,2020 [8] find,more [8] #eventprofs,#eventprofsuk Top Word Pairs in Tweet in G8:
[18] #eventprofs,#meetingprofs [17] #meetingprofs,#mice [14] #mice,#eventplanung [14] #eventplanung,#eventmarketing [14] #eventmarketing,#eventpros [14] #eventpros,#incentivetravel [14] #incentivetravel,#eventplanning [14] #eventplanning,#eventmanager [14] #eventmanager,#eventsuccess [14] #eventsuccess,#eventplanners Top Word Pairs in Tweet in G9:
[27] #eventprofs,#meetingprofs [22] mpi,pcmahq [17] #meetingprofs,#eventprofs [13] virtual,events [13] #meetingprofs,#biztravel [11] president,ceo [11] asaecenter,globalbta [11] #biztravel,#eventtech [11] join,community [10] learn,more Top Word Pairs in Tweet in G10:
[11] #bogotabureau,#bogotabestcities [10] #eventprofs,#meetingplanners [8] #todosaldrábien,#bogotásequedaencasa [8] #italialive,l'azione [8] l'azione,nostra [8] nostra,reazione [8] reazione,voce [8] voce,fatta [8] fatta,tutte [8] tutte,voci Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: