The graph represents a network of 5,777 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, 25 March 2022 at 21:56 UTC.
The requested start date was Friday, 25 March 2022 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 9-day, 5-hour, 2-minute period from Tuesday, 15 March 2022 at 18:58 UTC to Friday, 25 March 2022 at 00:01 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 : 5777
Unique Edges : 4666
Edges With Duplicates : 9529
Total Edges : 14195
Number of Edge Types : 5
Mentions : 3600
Tweet : 2243
Retweet : 3137
MentionsInRetweet : 4106
Replies to : 1109
Self-Loops : 2319
Reciprocated Vertex Pair Ratio : 0.0291870415647922
Reciprocated Edge Ratio : 0.0567186340014848
Connected Components : 1324
Single-Vertex Connected Components : 943
Maximum Vertices in a Connected Component : 2638
Maximum Edges in a Connected Component : 9112
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.841127
Graph Density : 0.000201840376658418
Modularity : 0.450528
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,777 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, 25 March 2022 at 21:56 UTC.
The requested start date was Friday, 25 March 2022 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 9-day, 5-hour, 2-minute period from Tuesday, 15 March 2022 at 18:58 UTC to Friday, 25 March 2022 at 00:01 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 : 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:
[459] magic,quadrant [288] gartner,magic [274] supply,chain [246] epochal,paradigm [246] paradigm,shifts [246] shifts,occurred [245] counter,epochal [237] learn,more [236] ppl,ask [234] zhusu,ppl Top Word Pairs in Tweet in G1:
[154] magic,quadrant [118] gartner,magic [111] 2022,gartner [67] learn,more [51] wolfgang,gartner [50] leader,2022 [44] recognized,leader [39] gartner,report [34] year,row [33] gartner,peer Top Word Pairs in Tweet in G2:
[93] magic,quadrant [72] 2022,gartner_inc [58] learn,more [52] market,guide [44] year,row [35] gartner_inc,magic [34] according,gartner_inc [34] fourth,year [34] row,hpe [33] vendor,rating Top Word Pairs in Tweet in G3:
[117] supply,chain [81] learn,more [64] #ai,#machinelearning [45] emerging,technology [42] invasion,ukraine [42] 2020,2022 [42] 2022,emerging [42] technology,roadmap [42] #machinelearning,#robotics [40] gartner_inc,#ai Top Word Pairs in Tweet in G4:
[114] supply,chain [106] digital,business [87] incorporating,composure [87] composure,digital [87] business,allows [87] allows,enterprise [87] enterprise,change [87] change,grow [87] grow,instead [87] instead,avoiding Top Word Pairs in Tweet in G5:
[235] ppl,ask [235] counter,epochal [235] epochal,paradigm [235] paradigm,shifts [235] shifts,occurred [234] zhusu,ppl [224] ask,crypto [224] crypto,important [224] important,speculative [224] speculative,counter Top Word Pairs in Tweet in G6:
[28] marilyn,monroe [27] monroe,painting [27] 200,million [26] buy,low [26] low,price [26] price,nft [26] nft,andy [26] andy,warhol's [26] warhol's,marilyn [26] painting,christie's Top Word Pairs in Tweet in G7:
[155] natural,language [154] metaverse,digital [154] digital,currency [154] currency,marketplace [154] marketplace,commerce [154] commerce,nfts [154] nfts,gaming [154] gaming,digital [154] digital,assets [154] assets,natural Top Word Pairs in Tweet in G8:
[4] sergio_gartner,emiliachch [4] fabschnaoda,sfp_cfo [4] sfp_cfo,andreaspreafic9 [4] ivoxy_eth,motionmarkos [3] shredclubnft,milehighbull [3] marrti_n,thehumanorigins [3] thehumanorigins,btc14580853 [3] btc14580853,abderraoufdebz [3] abderraoufdebz,donnybullish [3] dontattme_,sergio_gartner Top Word Pairs in Tweet in G9:
[12] 03,2022 [9] 2022,tag [9] tag,untätigkeit [9] untätigkeit,#bundesregierung [9] #bundesregierung,tag [9] tag,tag [9] tag,seit [9] seit,#scholz [9] #scholz,#baerbock [9] #baerbock,#habeck Top Word Pairs in Tweet in G10:
[23] kaythird,the12fthofnever [20] deb_gartner,kaythird [12] oneleglover,deb_gartner [8] revivalcare,deb_gartner [6] cailinaseirinn,cdnsloth1993 [6] cdnsloth1993,evanlsolomon [5] bbat96,joncoopertweets [5] joncoopertweets,calltoactivism [5] deb_gartner,cailinaseirinn [4] merry123459,thetorontosun 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 Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: