The graph represents a network of 3,127 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 Sunday, 05 July 2020 at 01:09 UTC.
The requested start date was Sunday, 05 July 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 5-day, 22-hour, 32-minute period from Sunday, 28 June 2020 at 10:28 UTC to Saturday, 04 July 2020 at 09:01 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 : 3127
Unique Edges : 2916
Edges With Duplicates : 6422
Total Edges : 9338
Number of Edge Types : 5
Retweet : 2170
MentionsInRetweet : 3356
Tweet : 1991
Mentions : 1747
Replies to : 74
Self-Loops : 2017
Reciprocated Vertex Pair Ratio : 0.0528068506184586
Reciprocated Edge Ratio : 0.100316312697695
Connected Components : 667
Single-Vertex Connected Components : 377
Maximum Vertices in a Connected Component : 1779
Maximum Edges in a Connected Component : 6640
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.652293
Graph Density : 0.000452787631143196
Modularity : 0.440165
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 3,127 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 Sunday, 05 July 2020 at 01:09 UTC.
The requested start date was Sunday, 05 July 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 5-day, 22-hour, 32-minute period from Sunday, 28 June 2020 at 10:28 UTC to Saturday, 04 July 2020 at 09:01 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:
[280] #eventprofs,#meetingprofs [249] #events,#eventprofs [176] events,industry [122] #eventprofs,#assnchat [107] book,gordon [107] gordon,speak [107] speak,event [107] event,email [107] email,gordon [107] gordon,gordontredgold Top Word Pairs in Tweet in G1:
[70] #eventprofs,#meetingprofs [32] virtual,event [31] covid,19 [23] events,industry [19] #assnchat,#eventprofs [17] #events,#eventprofs [17] association,brain [17] brain,food [17] food,weekly [16] mpi,pcmahq Top Word Pairs in Tweet in G2:
[80] #eventprofs,#meetingprofs [50] ideas,#eventprofs [49] theeventsbot,generating [49] generating,amazing [49] amazing,article [49] article,ideas [49] #meetingprofs,booting [49] booting,gt [21] #eventplanung,#eventprofs [21] #eventprofs,#eventbranche Top Word Pairs in Tweet in G3:
[101] events,industry [75] 70,billion [74] 6th,largest [74] largest,sector [74] sector,uk [70] industry,creates [70] creates,value [70] value,economy [70] economy,6th [70] uk,worth Top Word Pairs in Tweet in G4:
[77] filière,événementielle [73] référentiel,sanitaire [73] sanitaire,filière [72] travail,collectif [68] gouvernementfr,validé [68] validé,référentiel [68] événementielle,fruit [68] fruit,d'un [68] d'un,travail [68] collectif,mené Top Word Pairs in Tweet in G5:
[14] thank,taiwo [14] taiwo,owatemi [14] owatemi,labour [14] labour,mp [14] mp,coventry [14] coventry,nw [14] nw,speaking [14] speaking,behalf [14] behalf,exhibit3sixty [14] exhibit3sixty,rest Top Word Pairs in Tweet in G6:
[33] #eventprofs,#meetingprofs [22] #meetingprofs,#mice [21] #mice,#eventplanung [21] #eventplanung,#eventmarketing [21] #eventmarketing,#eventpros [21] #eventpros,#incentivetravel [21] #incentivetravel,#eventplanning [21] #eventplanning,#eventmanager [21] #eventmanager,#eventsuccess [21] #eventsuccess,#eventplanners Top Word Pairs in Tweet in G7:
[22] impact,#covid19 [19] iapco,president [15] #eventprofs,#meetingprofs [15] meetings,industry [15] connect,collaborate [15] collaborate,create [15] strategic,global [15] global,task [15] task,force [12] president,lahavori Top Word Pairs in Tweet in G8:
[21] news,meetpie [21] meetpie,event [21] event,industry [21] industry,taken [21] taken,huge [21] huge,hit [21] hit,many [21] many,#forgottenltd [21] #forgottenltd,small [20] forgottenltd,news Top Word Pairs in Tweet in G9:
[9] #eventprofs,#meetingprofs [5] atnguyen,wrote [4] book,club [4] found,nice [4] nice,place [4] place,sit [4] sit,read [4] read,mpitoronto [4] mpitoronto,meeting [4] meeting,spring Top Word Pairs in Tweet in G10:
[7] aim,secure [6] one,two [6] two,venues [6] secure,accreditation [5] hybrid,events [5] contracts,workshop [5] july,2020 [5] #pas,#eas [5] venues,uk [5] uk,awarded Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: