The graph represents a network of 1,855 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, 17 January 2022 at 15:37 UTC.
The requested start date was Monday, 17 January 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, 7-hour, 31-minute period from Friday, 14 January 2022 at 17:27 UTC to Monday, 17 January 2022 at 00:59 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 : 1855
Unique Edges : 1810
Edges With Duplicates : 14944
Total Edges : 16754
Number of Edge Types : 5
Retweet : 6534
MentionsInRetweet : 8306
Tweet : 1084
Mentions : 782
Replies to : 48
Self-Loops : 1172
Reciprocated Vertex Pair Ratio : 0.00690665550439514
Reciprocated Edge Ratio : 0.0137185616295988
Connected Components : 185
Single-Vertex Connected Components : 124
Maximum Vertices in a Connected Component : 1574
Maximum Edges in a Connected Component : 16328
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.943185
Graph Density : 0.00139888403306612
Modularity : 0.212319
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,855 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, 17 January 2022 at 15:37 UTC.
The requested start date was Monday, 17 January 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, 7-hour, 31-minute period from Friday, 14 January 2022 at 17:27 UTC to Monday, 17 January 2022 at 00:59 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:
[2392] #bigdata,#analytics [1881] #analytics,#datascience [1609] #datascience,#ai [1478] #iot,#iiot [1230] #python,#rstats [1127] #pytorch,#python [1018] #ai,#machinelearning [958] #machinelearning,#iot [949] #iiot,#pytorch [794] #machinelearning,#bigdata Top Word Pairs in Tweet in G1:
[1808] #bigdata,#analytics [1392] #analytics,#datascience [1214] #datascience,#ai [1046] #iot,#iiot [966] #python,#rstats [924] #pytorch,#python [754] #ai,#machinelearning [722] #iiot,#pytorch [710] #machinelearning,#iot [592] #machinelearning,#bigdata Top Word Pairs in Tweet in G2:
[144] #bigdata,#analytics [130] #analytics,#datascience [115] #datascientist,#bigdata [109] #datascience,#ai [102] #python,#datascientist [93] #bigdata,#datascience [86] #iot,#iiot [86] model,vs [86] vs,innovative [86] ingliguori,#python Top Word Pairs in Tweet in G3:
[149] #bigdata,#analytics [147] #machinelearning,#bigdata [108] #iot,#iiot [90] #analytics,#datascience [76] #datascience,#ai [71] #python,#rstats [60] gave,kred [60] kred,#influence [54] cloud,computing [50] #iiot,#python Top Word Pairs in Tweet in G4:
[78] lizaflux,flux [78] nvidia,inception [72] flux,acceptance [72] acceptance,nvidia [72] inception,program [72] program,offers [72] offers,lots [72] lots,knowledge [72] knowledge,access [72] access,resources Top Word Pairs in Tweet in G5:
[53] #infosec,#infosecurity [53] #infosecurity,#cybersecurity [40] #cybersecurity,#threatintel [31] techrepublic's,scott [31] scott,matteson [31] matteson,explains [31] explains,improve [31] improve,#datarecovery [31] #datarecovery,time [31] time,cloud Top Word Pairs in Tweet in G6:
[68] playing,african [68] african,affairs [68] affairs,radio [37] iex_ec,rlc [36] #cloudcomputing,#cloud [35] #aws,#azure [34] #cloud,#aws [34] #azure,#gcp [34] #gcp,#python [34] #python,#coding Top Word Pairs in Tweet in G7:
[235] #bigdata,#analytics [232] #analytics,#datascience [215] #iot,#iiot [176] #datascience,#ai [156] #ai,#machinelearning [150] #machinelearning,#iot [134] #python,#rstats [124] #iiot,#pytorch [116] #pytorch,#python [77] #iiot,#python Top Word Pairs in Tweet in G8:
[7] #republicdaycontest,#giveaway [7] #giveaway,#microsoft [7] #cloudthat,#cloudcomputing [6] cloudthat,answer [6] answer,route [6] route,ai [6] ai,102 [6] #microsoft,#artificialintelligence [6] #artificialintelligence,#newyear2022 [6] #cloudcomputing,#quiztime Top Word Pairs in Tweet in G9:
[6] #bigdata,#analytics [5] #pytorch,#python [5] #analytics,#datascience [5] #datascience,#ai [5] #ai,#machinelearning [5] #machinelearning,#iot [5] #iot,#iiot [3] #datascience,#pytorch [3] chidambara09,salhaj [3] salhaj,fmfrancoise Top Word Pairs in Tweet in G10:
[6] three,experts [6] experts,offer [6] offer,inside [6] inside,look [6] look,state [6] state,#ai [6] #ai,mckinsey [6] mckinsey,#mlops [6] #mlops,#cloudcomputing [5] bimedotcom,three 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 G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: