The graph represents a network of 5,560 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 June 2021 at 21:58 UTC.
The requested start date was Friday, 25 June 2021 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 8-day, 8-hour, 22-minute period from Wednesday, 16 June 2021 at 15:37 UTC to Friday, 25 June 2021 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 : 5560
Unique Edges : 4729
Edges With Duplicates : 9963
Total Edges : 14692
Number of Edge Types : 5
Mentions : 4363
Retweet : 2978
MentionsInRetweet : 4229
Tweet : 2467
Replies to : 655
Self-Loops : 2523
Reciprocated Vertex Pair Ratio : 0.0347772085079956
Reciprocated Edge Ratio : 0.0672168042010503
Connected Components : 1469
Single-Vertex Connected Components : 1076
Maximum Vertices in a Connected Component : 3002
Maximum Edges in a Connected Component : 9809
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.029135
Graph Density : 0.000215639684690456
Modularity : 0.416929
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,560 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 June 2021 at 21:58 UTC.
The requested start date was Friday, 25 June 2021 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 8-day, 8-hour, 22-minute period from Wednesday, 16 June 2021 at 15:37 UTC to Friday, 25 June 2021 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:
[555] magic,quadrant [429] 2021,gartner [256] read,more [242] peer,insights [241] gartner,magic [240] read,full [214] trump's,cognitive [213] wrote,usa [213] usa,today [213] today,ronny Top Word Pairs in Tweet in G1:
[188] magic,quadrant [137] 2021,gartner [95] gartner,magic [79] quadrant,crm [78] peer,insights [70] gartner,peer [58] crm,customer [58] customer,engagement [57] engagement,center [53] named,leader Top Word Pairs in Tweet in G2:
[112] products,services [95] 80,technology [95] technology,products [92] gartner_inc,predicting [92] predicting,development [92] development,80 [92] services,non [92] non,leaders [92] leaders,2024 [92] 2024,demonstrates Top Word Pairs in Tweet in G3:
[216] read,full [204] industry,gives [189] gives,microfocussec [175] full,review [162] review,#customersuccess [156] #customersuccess,#cyberresilience [134] 2021,gartner [98] finance,industry [83] gartner_pi,#siem [81] #siem,read Top Word Pairs in Tweet in G4:
[144] read,more [73] supply,chain [67] learn,more [60] complimentary,#webinar [51] global,knowledge [50] end,2021 [48] knowledge,workers [47] decision,making [46] 51,global [33] future,work Top Word Pairs in Tweet in G5:
[211] wrote,usa [211] usa,today [211] today,ronny [211] ronny,jackson's [211] jackson's,report [211] report,trump's [211] trump's,cognitive [211] cognitive,health [211] health,essentially [211] essentially,cover Top Word Pairs in Tweet in G6:
[21] low,code [18] security,shifts [18] shifts,cloud [18] cloud,tried [18] tried,true [18] true,perimeter [18] perimeter,based [18] based,model [18] model,keep [18] keep,need Top Word Pairs in Tweet in G7:
[144] klima_mahner,sixtus [112] akatztwit,klima_mahner [98] deutscheguardi1,akatztwit [50] sixtus,robinalexander_ [49] robinalexander_,die_gruenen [48] karl_lauterbach,gretathunberg [32] sixtus,die_gruenen [28] jochenh_14,deutscheguardi1 [26] gartner_jw,klima_mahner [21] zwitscher_nils,karl_lauterbach Top Word Pairs in Tweet in G8:
[29] yuhelenyu,#gartner [22] #gartner,provides [22] provides,pivot [22] pivot,forward [22] forward,phase [22] phase,planning [22] planning,framework [22] framework,#technology [22] #technology,#services [22] #services,providers Top Word Pairs in Tweet in G9:
[29] machine,learning [27] gartner,predict [27] predict,2022 [27] 2022,65 [27] 65,organisations [27] organisations,deployed [27] deployed,#rpa [27] #rpa,introduce [27] introduce,ai [27] ai,machine Top Word Pairs in Tweet in G10:
[52] trump,first [52] first,degree [52] degree,mass [52] mass,murderer [52] murderer,dr [52] dr,john [52] john,gartner [52] gartner,claims [52] claims,president [52] president,trump Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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 G10: