The graph represents a network of 1,792 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 23 May 2022 at 15:14 UTC.
The requested start date was Monday, 23 May 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 2-day, 7-hour, 51-minute period from Friday, 20 May 2022 at 16:08 UTC to Monday, 23 May 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 : 1792
Unique Edges : 1324
Edges With Duplicates : 14149
Total Edges : 15473
Number of Edge Types : 5
Mentions : 570
Retweet : 6257
MentionsInRetweet : 7328
Tweet : 1294
Replies to : 24
Self-Loops : 1373
Reciprocated Vertex Pair Ratio : 0.0106463878326996
Reciprocated Edge Ratio : 0.0210684725357412
Connected Components : 225
Single-Vertex Connected Components : 131
Maximum Vertices in a Connected Component : 1321
Maximum Edges in a Connected Component : 14734
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.053059
Graph Density : 0.0012422604091888
Modularity : 0.186564
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,792 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 23 May 2022 at 15:14 UTC.
The requested start date was Monday, 23 May 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 2-day, 7-hour, 51-minute period from Friday, 20 May 2022 at 16:08 UTC to Monday, 23 May 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 : #cloudcomputing
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:
[3113] #bigdata,#analytics [2518] #analytics,#datascience [2206] #iot,#iiot [1846] #datascience,#ai [1788] #ai,#machinelearning [1740] #machinelearning,#iot [998] #iiot,#python [962] #python,#rstats [923] #iiot,#pytorch [681] #pytorch,#python Top Word Pairs in Tweet in G1:
[1811] #bigdata,#analytics [1482] #analytics,#datascience [1212] #iot,#iiot [1091] #ai,#machinelearning [1084] #datascience,#ai [1040] #machinelearning,#iot [529] #iiot,#python [511] #python,#rstats [472] #infosec,#infosecurity [472] #infosecurity,#cybersecurity Top Word Pairs in Tweet in G2:
[704] #bigdata,#analytics [593] #analytics,#datascience [539] #iot,#iiot [417] #datascience,#ai [389] #machinelearning,#iot [381] #ai,#machinelearning [268] #iiot,#python [257] #python,#rstats [238] #iiot,#pytorch [185] #pytorch,#python Top Word Pairs in Tweet in G3:
[454] #bigdata,#analytics [363] #iot,#iiot [339] #analytics,#datascience [268] #datascience,#ai [257] #machinelearning,#iot [245] #ai,#machinelearning [174] #iiot,#pytorch [156] #iiot,#python [137] #python,#rstats [119] #analytics,#ai Top Word Pairs in Tweet in G4:
[106] #bigdata,#analytics [82] #analytics,#datascience [73] #iot,#iiot [59] #datascience,#ai [59] #ai,#machinelearning [56] playing,african [56] african,affairs [56] affairs,radio [51] #cloud,#cloudcomputing [47] #cloudcomputing,#cloud Top Word Pairs in Tweet in G5:
[11] cloud,computing [8] #aws,#cloudcomputing [7] alianza,busca [7] busca,generar [7] generar,confianza [7] confianza,flujo [7] flujo,datos [7] datos,compartidos [7] compartidos,internamente [7] internamente,importar Top Word Pairs in Tweet in G6:
[14] gt,gt [5] #bigdata,impact [5] impact,#cloudcomputing [5] #cloudcomputing,#datamining [5] #datamining,#5g [5] #5g,#iot [5] #iot,#datascience [5] #datascience,#dataanalytics [4] #insurance,#insurtech [4] benefits,picking Top Word Pairs in Tweet in G7:
[53] amazon,azure [53] azure,control [53] control,more [53] more,half [53] half,internet [53] internet,power [53] power,wield [53] wield,terrifying [53] terrifying,#flux [53] #flux,pioneering Top Word Pairs in Tweet in G8:
[30] #ml,#cloudcomputing [30] #cloudcomputing,#100daysofcode [30] #100daysofcode,#deeplearning [30] #deeplearning,#linux [23] #cloudcomputing,#cloudadoption [22] best,examples [22] examples,python [22] python,programming [22] programming,jobs [20] cloud,computing Top Word Pairs in Tweet in G9:
[53] ssd,vps [53] vps,servers [53] servers,fastest [53] fastest,cloud [53] cloud,servers [53] servers,market [53] market,1cpu [53] 1cpu,2gb [53] 2gb,ram [53] ram,20gb Top Word Pairs in Tweet in G10:
[42] owlretweets,#cloudcomputing [42] #cloudcomputing,#supportsmallstreamers [42] #supportsmallstreamers,dnrrtz [37] dnrrtz,wgretweets [22] wgretweets,dr [8] killers,space [8] space,1954 [8] 1954,film [8] film,eng [8] eng,lee Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
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: