The graph represents a network of 1,962 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, 31 August 2020 at 11:18 UTC.
The requested start date was Monday, 31 August 2020 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 9-day, 5-hour, 22-minute period from Friday, 21 August 2020 at 06:23 UTC to Sunday, 30 August 2020 at 11:46 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 : 1962
Unique Edges : 1707
Edges With Duplicates : 16257
Total Edges : 17964
Number of Edge Types : 5
Tweet : 1177
Mentions : 2592
Retweet : 6168
MentionsInRetweet : 8015
Replies to : 12
Self-Loops : 1249
Reciprocated Vertex Pair Ratio : 0.00790067720090293
Reciprocated Edge Ratio : 0.0156774916013438
Connected Components : 301
Single-Vertex Connected Components : 196
Maximum Vertices in a Connected Component : 1491
Maximum Edges in a Connected Component : 17261
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.141162
Graph Density : 0.00116049925639678
Modularity : 0.193484
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,962 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, 31 August 2020 at 11:18 UTC.
The requested start date was Monday, 31 August 2020 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 9-day, 5-hour, 22-minute period from Friday, 21 August 2020 at 06:23 UTC to Sunday, 30 August 2020 at 11:46 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:
[3664] #bigdata,#analytics [3070] #analytics,#datascience [2791] #iot,#iiot [2301] #python,#rstats [2232] #datascience,#ai [1618] #iiot,#python [1281] #ai,#machinelearning [1034] #machinelearning,#iot [934] #rstats,#tensorflow [835] #ai,#iot Top Word Pairs in Tweet in G1:
[2640] #bigdata,#analytics [2244] #analytics,#datascience [1949] #iot,#iiot [1644] #python,#rstats [1599] #datascience,#ai [1183] #iiot,#python [921] #ai,#machinelearning [726] #machinelearning,#iot [600] #ai,#iot [591] #rstats,#tensorflow Top Word Pairs in Tweet in G2:
[649] #bigdata,#analytics [549] #iot,#iiot [492] #analytics,#datascience [442] #python,#rstats [368] #datascience,#ai [299] #iiot,#python [240] #rstats,#tensorflow [200] #ai,#machinelearning [187] #machinelearning,#iot [174] #pytorch,#python Top Word Pairs in Tweet in G3:
[161] gt,gt [135] #bigdata,#analytics [112] #analytics,#datascience [106] #iot,#iiot [90] #datascience,#ai [80] #python,#rstats [70] cloud,computing [54] #iiot,#python [46] #ai,#iot [42] #ai,#machinelearning Top Word Pairs in Tweet in G4:
[30] cloud,computing [26] #cloud,#cloudcomputing [14] #cybersecurity,#data [9] #data,#security [8] #cloudcomputing,#it [7] data,breach [7] late,feb [7] feb,seen [7] seen,over [7] over,30 Top Word Pairs in Tweet in G5:
[85] #cloudcomputing,#ai [84] increasing,penetration [84] penetration,emerging [84] emerging,technologies [84] technologies,such [84] such,#cloudcomputing [84] #ai,#bigdata [84] #bigdata,#cybersecurity [84] #cybersecurity,#iot [84] #iot,propel Top Word Pairs in Tweet in G6:
[102] cloud,computing [102] read,more [56] #analytics,#datascience [48] #datascience,#ai [46] more,#cloudcomputing [46] #cloudcomputing,#copyright [43] #copyright,#freemium [43] #freemium,#membership [41] #membership,#platform [41] #platform,#software Top Word Pairs in Tweet in G7:
[252] rvp,7gtech [218] 7gtech,5gaiot [205] cmu_mse,cmu_ece [194] 5gaiot,c4isrt [186] 2nd,#iot [178] c4isrt,endorse [170] onalytica,rated [166] rated,19th [163] endorse,tweet [163] tweet,below Top Word Pairs in Tweet in G8:
[20] cloud,computing [6] #bigdata,#analytics [5] next,booming [5] booming,sectors [5] #cloudcomputing,#cloud [5] #analytics,#datascience [5] tencent,entry [5] entry,lights [5] lights,cloud [5] computing,segment Top Word Pairs in Tweet in G9:
[51] ronald_vanloon,read [51] read,more [34] ronald_vanloon,emerging [19] emerging,challenges [19] challenges,create [19] create,opportunities [19] opportunities,#dataanalytics [19] #dataanalytics,professionals [19] professionals,ronald_vanloon [18] emerging,industry Top Word Pairs in Tweet in G10:
[6] #cloud,#cloudcomputing [4] multiple,clouds [4] clouds,top [4] top,#multicloud [4] #multicloud,challenges [4] challenges,handle [4] handle,those [4] those,challenges [4] challenges,30 [4] 30,leaders Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G7:
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:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: