The graph represents a network of 6,625 Twitter users whose tweets in the requested range contained "gartner", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 16 October 2020 at 21:57 UTC.
The requested start date was Friday, 16 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 13-hour, 7-minute period from Sunday, 11 October 2020 at 10:52 UTC to Friday, 16 October 2020 at 00:00 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 : 6625
Unique Edges : 5569
Edges With Duplicates : 10309
Total Edges : 15878
Number of Edge Types : 5
Retweet : 4128
MentionsInRetweet : 6344
Mentions : 2975
Replies to : 482
Tweet : 1949
Self-Loops : 1998
Reciprocated Vertex Pair Ratio : 0.0162136385312351
Reciprocated Edge Ratio : 0.0319099014547161
Connected Components : 1365
Single-Vertex Connected Components : 1043
Maximum Vertices in a Connected Component : 4568
Maximum Edges in a Connected Component : 13171
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.783019
Graph Density : 0.000194239358308267
Modularity : 0.483301
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,625 Twitter users whose tweets in the requested range contained "gartner", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 16 October 2020 at 21:57 UTC.
The requested start date was Friday, 16 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 13-hour, 7-minute period from Sunday, 11 October 2020 at 10:52 UTC to Friday, 16 October 2020 at 00:00 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 : gartner
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:
[1271] donald,trump [1261] trump,'dangerous [1261] 'dangerous,mental [1259] mental,illness' [1243] 35,psychiatrists [1243] psychiatrists,met [1243] met,yale [1243] warn,donald [1241] yale,warn [1192] debramessing,35 Top Word Pairs in Tweet in G1:
[1193] donald,trump [1193] trump,'dangerous [1193] 'dangerous,mental [1193] mental,illness' [1185] 35,psychiatrists [1185] psychiatrists,met [1185] met,yale [1185] yale,warn [1185] warn,donald [1181] debramessing,35 Top Word Pairs in Tweet in G2:
[323] cloud,gartner_inc [279] security,moving [279] moving,cloud [279] gartner_inc,#sase [279] #sase,report [279] report,reduce [279] reduce,complexity [275] ciscoumbrella,security [179] ciscoumbrella,gartner_inc [131] magic,quadrant Top Word Pairs in Tweet in G3:
[239] magic,quadrant [189] 2020,gartner [152] wan,edge [152] edge,infrastructure [126] gartner,magic [106] hype,cycle [97] leader,2020 [89] gartner,hype [81] quadrant,wan [79] gartner,names Top Word Pairs in Tweet in G4:
[151] hype,cycle [111] supply,chain [105] gartner,hype [103] spirosmargaris,xbond49 [103] xbond49,psb_dc [103] jblefevre60,nigewillson [102] psb_dc,jblefevre60 [102] gartner_inc,highlights [102] highlights,need [102] need,businesses Top Word Pairs in Tweet in G5:
[48] read,full [47] full,review [46] #gartnerpeerinsights,read [39] fortify,demand [37] demand,#gartnerpeerinsights [34] #microfocus,fortify [32] director,#cybersecurity [32] #cybersecurity,gives [32] gives,#microfocus [23] technologies,enable Top Word Pairs in Tweet in G6:
[66] magic,quadrant [59] 2020,gartner [59] gartner,magic [53] quadrant,meeting [53] meeting,solutions [29] leader,2020 [16] zoom,leader [16] solutions,5th [16] 5th,consecutive [16] consecutive,year Top Word Pairs in Tweet in G7:
[16] 35,psychiatrists [16] psychiatrists,met [16] met,yale [16] yale,warn [16] warn,donald [16] donald,trump [16] trump,'dangerous [16] 'dangerous,mental [14] mental,illness' [8] john,gartner Top Word Pairs in Tweet in G8:
[117] magic,quadrant [76] itsm,tools [73] quadrant,itsm [52] gartner,magic [49] released,2020 [40] 2020,gartner [34] tools,recognizes [33] service,management [31] ivanti,leader [30] recognizes,ivanti Top Word Pairs in Tweet in G9:
[54] mark,mine [51] vr,pioneer [51] pioneer,disney [51] disney,technology [51] technology,exec [51] exec,mark [51] mine,went [51] went,little [51] little,stir [51] stir,crazy Top Word Pairs in Tweet in G10:
[79] 60,country [79] country,knew [78] pattiusblue,60 [3] debramessing,35 [3] 35,psychiatrists [3] psychiatrists,met [3] met,yale [3] yale,warn [3] warn,donald [3] donald,trump Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G7:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: