The graph represents a network of 4,652 Twitter users whose tweets in the requested range contained "#cloud", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 11 December 2022 at 07:28 UTC.
The requested start date was Sunday, 11 December 2022 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 2-day, 8-hour, 21-minute period from Wednesday, 07 December 2022 at 18:18 UTC to Saturday, 10 December 2022 at 02:39 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 : 4652
Unique Edges : 4005
Edges With Duplicates : 11365
Total Edges : 15370
Number of Edge Types : 5
Tweet : 2692
Retweet : 3964
MentionsInRetweet : 5246
Mentions : 3355
Replies to : 113
Self-Loops : 3314
Reciprocated Vertex Pair Ratio : 0.0331032041069216
Reciprocated Edge Ratio : 0.0640849897189856
Connected Components : 1337
Single-Vertex Connected Components : 915
Maximum Vertices in a Connected Component : 2110
Maximum Edges in a Connected Component : 11166
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.052605
Graph Density : 0.000269729990850626
Modularity : 0.35846
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,652 Twitter users whose tweets in the requested range contained "#cloud", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 11 December 2022 at 07:28 UTC.
The requested start date was Sunday, 11 December 2022 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 2-day, 8-hour, 21-minute period from Wednesday, 07 December 2022 at 18:18 UTC to Saturday, 10 December 2022 at 02:39 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 : #cloud
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:
[702] #finserv,#cloud [699] #datascientist,#csuite [699] #csuite,#digitalhealth [699] #healthtech,#smartcity [698] #cx,#ehealth [694] #smartcity,#datascientist [692] #digitalhealth,#web3 [691] #web3,#cx [689] #ehealth,#finserv [472] #bigdata,#analytics Top Word Pairs in Tweet in G1:
[74] #saas,#cloud [65] #cloud,#logiciel [55] #cloud,#cloudcomputing [45] #business,#cloud [44] #cloud,#migrate [41] #sky,#cloud [41] learn,more [26] #tech,#mobile [26] #mobile,#cloud [23] #technology,#cloud Top Word Pairs in Tweet in G2:
[666] #datascientist,#csuite [666] #healthtech,#smartcity [666] #csuite,#digitalhealth [665] #cx,#ehealth [662] #smartcity,#datascientist [660] #ehealth,#finserv [659] #finserv,#cloud [659] #digitalhealth,#web3 [658] #web3,#cx [381] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[24] #aws,#cloud [20] gm,#b2b [20] market,leadership [20] division,market [20] scott,led [20] led,division [20] #b2b,logitechbiz [20] scottwharton,vp [20] joining,logitech [20] 2015,scott Top Word Pairs in Tweet in G4:
[37] #ai,#python [37] #machinelearning,#ai [36] #datascience,#bigdata [35] #infosec,#infosecjobs [34] #bigdata,#analytics [34] #infosecjobs,#cybersecurity [31] #cybersecurity,#jobsearch [31] #python,#datascience [30] #cloud,#devops [30] #hiringnow,#cybercareer Top Word Pairs in Tweet in G5:
[55] details,please [50] please,contact [34] annum,location [34] location,#remote [34] 000,annum [33] job,opportunity [29] #oraclejobs,#oraclecloud [28] oracle,#oracle [28] #oracle,#oraclejobs [26] microsoft,cloud Top Word Pairs in Tweet in G6:
[8] #cloud,#cloudcomputing [8] google,cloud [7] costs,biztechmagazine [7] assessing,#cloud [7] article,helpful [7] biztechmagazine,#cdwsocial [7] tips,article [7] #cloud,costs [7] spend,#cloudcomputing [7] concerned,spend Top Word Pairs in Tweet in G7:
[148] #python,#javascript [148] #bigdata,#analytics [147] #analytics,#datascience [144] #datascience,#iiot [143] #iiot,#python [134] #javascript,#tensorflow [110] #tensorflow,#cloudcomputing [50] #cloudcomputing,#devcommunity [37] #digitaltransformation,#cloud [36] #cloud,#machinelearning Top Word Pairs in Tweet in G8:
[80] #ファイナルファンタジー,#cloud [80] #cloud,#tifa [75] together,everything [75] long,stay [75] right,#ファイナルファンタジー [75] stay,together [75] #tifa,#remake [75] everything,right [74] sazaki0627,long [5] #final,fantasy Top Word Pairs in Tweet in G9:
[57] #utilitynet,high [57] change,#ai [57] performance,distributed [57] distributed,#intelligent [57] network,makes [57] #ai,computing [57] makes,change [57] #computing,network [57] high,performance [57] #intelligent,#computing Top Word Pairs in Tweet in G10:
[22] #azure,#cloud [18] #cloud,#logiciel [18] #saas,#cloud [16] microsoft,azure [12] #technology,#cybersecurity [10] #cybersecurity,#aws [10] #cloud,#microsoft [10] #cloudcomputing,#cloud [10] #cloud,#technology [9] #bigdata,#devops Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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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: