The graph represents a network of 6,638 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, 14 October 2022 at 21:28 UTC.
The requested start date was Friday, 14 October 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 6-day, 8-hour, 19-minute period from Friday, 07 October 2022 at 15:41 UTC to Friday, 14 October 2022 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 : 6638
Unique Edges : 4792
Edges With Duplicates : 11315
Total Edges : 16107
Number of Edge Types : 5
Tweet : 1952
Retweet : 4139
MentionsInRetweet : 5689
Mentions : 3736
Replies to : 591
Self-Loops : 2021
Reciprocated Vertex Pair Ratio : 0.0229679724384331
Reciprocated Edge Ratio : 0.044904577772234
Connected Components : 1287
Single-Vertex Connected Components : 977
Maximum Vertices in a Connected Component : 3998
Maximum Edges in a Connected Component : 11305
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.881687
Graph Density : 0.000181971266562234
Modularity : 0.475748
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 6,638 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, 14 October 2022 at 21:28 UTC.
The requested start date was Friday, 14 October 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 6-day, 8-hour, 19-minute period from Friday, 07 October 2022 at 15:41 UTC to Friday, 14 October 2022 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:
[1299] estera,wajsblum [1299] safir,estera [1299] regina,safir [1296] robota,regina [1289] róża,robota [1289] gartner,róża [1283] female,jewish [1283] jewish,prisoners [1283] october,1944 [1281] 1944,ss Top Word Pairs in Tweet in G1:
[1292] safir,estera [1292] estera,wajsblum [1292] regina,safir [1289] robota,regina [1285] róża,robota [1285] gartner,róża [1280] october,1944 [1280] jewish,prisoners [1280] female,jewish [1278] 10,october Top Word Pairs in Tweet in G2:
[153] use,cases [141] cases,gartner_inc [141] #5g,#datascience [141] #machinelearning,#5g [141] #quantumcomputing,use [141] #ai,#machinelearning [141] gartner_inc,#ai [119] #datascience,#coding [98] research,gartner [97] named,leader Top Word Pairs in Tweet in G3:
[233] magic,quadrant [217] 2022,gartner [205] gartner,magic [107] sd,wan [104] quadrant,sd [91] gartner,predicts [82] 25,people [82] hour,day [82] people,spend [81] day,metaverse Top Word Pairs in Tweet in G4:
[618] #9,#9 [313] leader,gartner [312] supply,chain [312] knock,knock [309] class,supply [309] knock,#9 [309] ranked,world [309] chain,leader [309] world,class [309] #9,ranked Top Word Pairs in Tweet in G5:
[51] #ai,#ml [48] #genpact,#ceo [48] #ceo,#mckinsey [48] #bpo,#kearney [48] #bain,#bpo [48] #goldmansachs,#pwc [48] #bcg,#bain [48] #kearney,#goldmansachs [48] #perjury,#genpact [48] #mckinsey,#bcg Top Word Pairs in Tweet in G6:
[135] featuring,order [135] news,featuring [135] another,clip [135] upcoming,film [135] here's,another [135] order,appearance [135] malcolm,nance [135] entitled,fake [135] #untruth,entitled [135] appearance,malcolm Top Word Pairs in Tweet in G7:
[74] decentralized,identity [71] 2022,talk [71] #smartcon,2022 [71] identity,access [71] poised,disrupt [71] management,iam [71] disrupt,traditional [71] access,management [71] iam,#smartcon [71] traditional,identity Top Word Pairs in Tweet in G8:
[114] 裁员幅度可能高达20,左右 [114] 包括英特尔销售和营销部门在内的一些部门将成为重灾区,裁员幅度可能高达20 [114] 为了削减成本和应对放缓的pc处理器市场,英特尔公司计划大规模裁员 [114] 人数可能达到数千人,包括英特尔销售和营销部门在内的一些部门将成为重灾区 [114] 英特尔将裁员数千人,一些部门裁员或高达20 [114] 一些部门裁员或高达20,为了削减成本和应对放缓的pc处理器市场 [114] 英特尔公司计划大规模裁员,人数可能达到数千人 [114] 左右,研究机构gartner的数据显示 [112] weizhenshe,英特尔将裁员数千人 [4] #9,#9 Top Word Pairs in Tweet in G9:
[39] versa,networks [37] versanetworks,versa [25] gartner_sym,orlando [24] stop,booth [20] networks,present [20] exhibit,multiple [20] multiple,#securityindustry [20] present,#sase [20] gartner_inc,govtechnews [20] #securityindustry,events Top Word Pairs in Tweet in G10:
[2] monaverse,love [2] alexdelarje,pleasesendeth [2] #ethereum,larger [2] thebcag,gartner_girl [2] 000,#crypto [2] many,projects [2] ceased,trading [2] year,nomics [2] market,cap [2] fact,#ethereum Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: