The graph represents a network of 3,052 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, 03 May 2020 at 01:05 UTC.
The requested start date was Sunday, 03 May 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, 9-hour, 38-minute period from Sunday, 26 April 2020 at 23:30 UTC to Saturday, 02 May 2020 at 09:08 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 : 3052
Unique Edges : 2734
Edges With Duplicates : 5931
Total Edges : 8665
Number of Edge Types : 5
Tweet : 2144
Mentions : 2070
Retweet : 1823
MentionsInRetweet : 2536
Replies to : 92
Self-Loops : 2181
Reciprocated Vertex Pair Ratio : 0.069304152637486
Reciprocated Edge Ratio : 0.129624770401469
Connected Components : 651
Single-Vertex Connected Components : 365
Maximum Vertices in a Connected Component : 1726
Maximum Edges in a Connected Component : 6085
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.909533
Graph Density : 0.000409272167817268
Modularity : 0.419911
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 3,052 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, 03 May 2020 at 01:05 UTC.
The requested start date was Sunday, 03 May 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, 9-hour, 38-minute period from Sunday, 26 April 2020 at 23:30 UTC to Saturday, 02 May 2020 at 09:08 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:
[341] #eventprofs,#meetingprofs [230] #events,#eventprofs [126] covid,19 [113] #meetingprofs,#eventprofs [101] virtual,event [99] #eventprofs,#events [99] #eventprofs,#assnchat [95] speak,event [93] book,gordon [93] gordon,speak Top Word Pairs in Tweet in G1:
[91] #eventprofs,#meetingprofs [44] theeventsbot,generating [44] generating,amazing [44] amazing,article [44] article,ideas [44] ideas,#eventprofs [44] #meetingprofs,booting [44] booting,gt [17] #eventplanung,#eventprofs [16] #eventprofs,#eventbranche Top Word Pairs in Tweet in G2:
[62] #eventprofs,#meetingprofs [29] covid,19 [23] #meetingprofs,#eventprofs [20] mpi,pcmahq [16] #assnchat,#eventprofs [16] events,industry [16] association,brain [16] brain,food [16] food,weekly [14] world,education Top Word Pairs in Tweet in G3:
[34] #eventprofs,#mice [27] #eventprofs,#eventplanners [25] events,industry [24] found,#eventprofs [22] #eventplanners,#events [21] #events,#eventprofs [18] #mice,#events [17] business,events [17] mass,gatherings [17] #events,#meetings Top Word Pairs in Tweet in G4:
[52] #miceboard,news [34] mice,newsroom [28] int,#mice [25] #eventprofstalk,#eventprofs [22] unterstützen,#eventprofs [22] #eventprofs,business [22] miceboard,#miceboard [21] business,comeback [20] comeback,#coronavirus [20] #coronavirus,krise Top Word Pairs in Tweet in G5:
[94] #eventprofs,#assnchat [52] goes,first [26] first,protocols [26] protocols,online [26] online,meetings [26] #assnchat,#eventprofs [26] meeting,someone [26] someone,start [26] start,options [26] options,determining Top Word Pairs in Tweet in G6:
[28] #ged2020,#eventprofs [24] ged_2020,exhibitions [17] exhibitions,vital [17] vital,connect [17] connect,communities [17] communities,rebuild [17] rebuild,business [17] business,#ged2020 [11] contenido,calidad [11] calidad,principales Top Word Pairs in Tweet in G7:
[18] #eventprofs,#meetingprofs [14] meetings,events [13] #eventprofs,#eventplanning [12] #meetingprofs,#eventprofs [11] events,provide [11] usd,direct [11] #meetingswork,#eventswork [10] find,more [10] #eventswork,#mmb [10] #mmb,#meetingprofs Top Word Pairs in Tweet in G8:
[20] filière,événementielle [11] #eventprofs,#covid19 [9] organisations,professionnelles [9] professionnelles,filière [9] événementielle,unissent [9] unissent,proposent [9] proposent,aux [9] aux,pouvoirs [9] pouvoirs,publics [9] publics,série Top Word Pairs in Tweet in G9:
[16] event,industry [12] virtual,events [12] #eventprofs,#marketing [9] industry,news [9] virtual,event [8] touch,#eventprofs [8] #eventprofs,send [8] send,news [8] news,press [8] press,releases Top Word Pairs in Tweet in G10:
[18] #meetingprofs,#eventprofs [15] #eventprofs,#meetingplanners [14] #bogotabureau,#bogotabestcities [11] #eventprofs,#meetingprofs [11] #turismodenegocios,#meetingprofs [11] #todosaldrábien,#bogotásequedaencasa [11] #bogotásequedaencasa,#viajamañana [11] #viajamañana,#juntossomosmasfuertes [10] #quédateencasa,#bogotabureau [10] #bogotabestcities,#turismodenegocios 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:
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Top Tweeters in G10: