The graph represents a network of 3,436 Twitter users whose tweets in the requested range contained "vmworld OR vmware", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 24 July 2020 at 01:44 UTC.
The requested start date was Friday, 24 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 2-day, 10-hour, 5-minute period from Monday, 20 July 2020 at 23:19 UTC to Thursday, 23 July 2020 at 09:25 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 : 3436
Unique Edges : 3631
Edges With Duplicates : 5839
Total Edges : 9470
Number of Edge Types : 5
Tweet : 2232
Retweet : 1598
MentionsInRetweet : 2622
Mentions : 2281
Replies to : 737
Self-Loops : 2251
Reciprocated Vertex Pair Ratio : 0.0572797809219534
Reciprocated Edge Ratio : 0.108353118929419
Connected Components : 1014
Single-Vertex Connected Components : 795
Maximum Vertices in a Connected Component : 2033
Maximum Edges in a Connected Component : 7300
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.88266
Graph Density : 0.000392538631122137
Modularity : 0.417808
NodeXL Version : 1.0.1.438
Data Import : The graph represents a network of 3,436 Twitter users whose tweets in the requested range contained "vmworld OR vmware", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 24 July 2020 at 01:44 UTC.
The requested start date was Friday, 24 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 2-day, 10-hour, 5-minute period from Monday, 20 July 2020 at 23:19 UTC to Thursday, 23 July 2020 at 09:25 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 : vmworld OR vmware
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:
[586] vmware,cloud [284] cloud,aws [229] vmworld,2020 [172] runecast,analyzer [169] cloud,vmware [156] cloud,marketplace [154] analyzer,vmware [148] 100,free [138] free,online [134] online,access Top Word Pairs in Tweet in G1:
[392] vmware,cloud [203] cloud,aws [144] runecast,analyzer [143] cloud,marketplace [142] analyzer,vmware [111] vmware,runecast [109] cloud,vmware [99] vmworld,2020 [97] automated,insights [97] insights,vmware Top Word Pairs in Tweet in G2:
[65] fast,internet [47] vmware,fast [30] good,chair [28] #vmworld,2020 [21] internet,good [19] multiple,monitors [19] good,view [18] vmware,vsphere [17] 100,free [17] vmworld,2020 Top Word Pairs in Tweet in G3:
[45] vmware,cloud [42] vmworld,2020 [30] system,storage [30] storage,upgrading [28] #vmworld,2020 [27] learn,more [27] event,broker [26] vsphere,system [23] multi,cloud [23] 100,free Top Word Pairs in Tweet in G4:
[34] master,services [34] cloud,native [30] vmware,master [29] services,competency [25] achieved,vmware [24] itq,achieved [24] competency,cloud [23] very,proud [23] proud,announce [23] announce,itq Top Word Pairs in Tweet in G5:
[19] vmware,tanzu [16] spring,cloud [16] cloud,data [16] data,flow [16] developers,moving [16] moving,faster [16] faster,building [16] building,apps [16] apps,make [16] make,difference Top Word Pairs in Tweet in G6:
[25] vmware,cloud [19] cloud,aws [18] runecast,analyzer [15] #vmware,#aws [12] vmware,#cloud [12] #cloud,aws [12] aws,actualiza [12] actualiza,centrarse [12] centrarse,rentabilidad [12] rentabilidad,#cloudonaws Top Word Pairs in Tweet in G7:
[19] #hpediscover,2020 [9] cloud,foundation [9] oraclecloud,oraclecx [9] delltech,spinning [7] learn,simplify [7] simplify,management [7] management,delivery [7] delivery,virtual [7] virtual,desktops [7] desktops,apps Top Word Pairs in Tweet in G8:
[13] terminology,change [13] change,email [13] email,vmware [13] vmware,good [13] good,taking [13] taking,initiative [13] initiative,words [13] words,meanings [12] mistwire,terminology [8] mistwire,vmware Top Word Pairs in Tweet in G9:
[20] move,modernize [19] modernize,vmware [16] cloud,move [15] ibm,cloud [12] virtual,event [12] event,started [11] started,ibm [10] stu,thecube [10] vmware,workloads [9] thecube,#vmware Top Word Pairs in Tweet in G10:
[9] india,largest [9] largest,ict [9] ict,service [9] service,provider [9] provider,sifytech [8] vmware,threat [8] threat,report [8] zeigt,ausgefeiltere [8] ausgefeiltere,angriffe [8] sifytech,manages Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: