The graph represents a network of 5,280 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, 19 November 2021 at 23:02 UTC.
The requested start date was Friday, 19 November 2021 at 01:01 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 6-day, 9-hour, 9-minute period from Friday, 12 November 2021 at 15:50 UTC to Friday, 19 November 2021 at 01:00 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 : 5280
Unique Edges : 4319
Edges With Duplicates : 9877
Total Edges : 14196
Number of Edge Types : 5
Mentions : 3376
Tweet : 2191
Retweet : 3400
MentionsInRetweet : 4692
Replies to : 537
Self-Loops : 2257
Reciprocated Vertex Pair Ratio : 0.0252282928339266
Reciprocated Edge Ratio : 0.0492149758454106
Connected Components : 1302
Single-Vertex Connected Components : 967
Maximum Vertices in a Connected Component : 2873
Maximum Edges in a Connected Component : 10441
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.566487
Graph Density : 0.00023764831493568
Modularity : 0.41674
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,280 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, 19 November 2021 at 23:02 UTC.
The requested start date was Friday, 19 November 2021 at 01:01 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 6-day, 9-hour, 9-minute period from Friday, 12 November 2021 at 15:50 UTC to Friday, 19 November 2021 at 01:00 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:
[697] magic,quadrant [415] 2021,gartner [378] gartner,magic [337] hype,cycle [318] trends,2022 [286] learn,more [274] top,strategic [242] leader,2021 [239] #python,#datascience [227] #ai,#machinelearning Top Word Pairs in Tweet in G1:
[224] magic,quadrant [183] gartner,magic [177] 2021,gartner [85] leader,2021 [58] network,firewalls [56] trends,2022 [55] quadrant,network [50] quadrant,enterprise [49] market,guide [49] #fortinet,again Top Word Pairs in Tweet in G2:
[142] magic,quadrant [118] 2021,gartner_inc [87] gartner_inc,magic [77] learn,more [67] 2021,magic [59] leader,2021 [46] top,strategic [41] security,risk [39] peer,insights [38] gartner_inc,2021 Top Word Pairs in Tweet in G3:
[204] #python,#datascience [197] hype,cycle [185] #ai,#machinelearning [179] trends,2022 [167] #machinelearning,#deeplearning [165] cycle,#artificialintelligence [165] #artificialintelligence,2021 [165] 2021,#ai [165] #deeplearning,#datascience [165] #datascience,#python Top Word Pairs in Tweet in G4:
[108] composable,business [93] cios,expect [92] spending,fund [90] gartner,top [88] top,predictions [88] predictions,reflect [88] reflect,three [88] three,themes [88] themes,human [88] human,centricity Top Word Pairs in Tweet in G5:
[20] magic,quadrant [19] read,more [18] market,guide [15] 2021,gartner [15] gartner,magic [14] 2025,gartner [13] see,work [13] work,druva [13] druva,read [13] read,reviews Top Word Pairs in Tweet in G6:
[7] freak,freak [6] tobasyt,corneliabeeking [6] gartner_jw,corneliabeeking [5] wdraktuell,c_lindner [4] fuck,fuck [4] fuck,studio [4] studio,54 [4] alles,gute [4] sonsofgandalf,07mtb [3] gute,nacht Top Word Pairs in Tweet in G7:
[20] estimates,60 [20] 60,large [20] employ,monitoring [20] monitoring,software [19] gartner,technology [19] technology,research [19] research,consulting [19] consulting,firm [19] firm,estimates [19] large,corporations Top Word Pairs in Tweet in G8:
[80] adoption,#cloud [80] #cloud,tech [80] tech,bring [80] bring,efficiency [80] efficiency,agility [80] agility,continuity [80] continuity,business [80] business,operations [80] operations,rapid [80] rapid,growth Top Word Pairs in Tweet in G9:
[56] industry,gives [56] read,full [55] full,review [48] review,#customersuccess [45] finance,industry [39] gives,microfocussec [31] principal,security [31] security,specialist [31] specialist,finance [31] fortify,demand Top Word Pairs in Tweet in G10:
[48] bruges,belgium [48] belgium,first [48] first,fortifications [48] fortifications,built [48] built,julius [48] julius,caesar's [48] caesar's,conquest [48] conquest,menapii [48] menapii,1st [48] 1st,century Top Replied-To in Entire Graph:
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Top Replied-To in G9:
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: