The graph represents a network of 2,506 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 Tuesday, 29 September 2020 at 11:33 UTC.
The requested start date was Monday, 28 September 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 4-day, 9-hour, 5-minute period from Wednesday, 23 September 2020 at 14:55 UTC to Monday, 28 September 2020 at 00:01 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 : 2506
Unique Edges : 1988
Edges With Duplicates : 12814
Total Edges : 14802
Number of Edge Types : 5
Retweet : 5632
MentionsInRetweet : 6697
Mentions : 631
Tweet : 1817
Replies to : 25
Self-Loops : 1952
Reciprocated Vertex Pair Ratio : 0.00676982591876209
Reciprocated Edge Ratio : 0.0134486071085495
Connected Components : 571
Single-Vertex Connected Components : 409
Maximum Vertices in a Connected Component : 1608
Maximum Edges in a Connected Component : 13508
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.064974
Graph Density : 0.000663318215922505
Modularity : 0.253384
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,506 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 Tuesday, 29 September 2020 at 11:33 UTC.
The requested start date was Monday, 28 September 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 4-day, 9-hour, 5-minute period from Wednesday, 23 September 2020 at 14:55 UTC to Monday, 28 September 2020 at 00:01 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:
[2957] #bigdata,#analytics [2659] #analytics,#datascience [2618] #iot,#iiot [2039] #datascience,#ai [1547] #iiot,#python [1442] #python,#rstats [1239] #ai,#machinelearning [1177] #machinelearning,#iot [1034] #ai,#iot [502] #iiot,#pytorch Top Word Pairs in Tweet in G1:
[837] #bigdata,#analytics [781] #iot,#iiot [685] #analytics,#datascience [561] #iiot,#python [539] #datascience,#ai [407] #python,#rstats [360] #ai,#iot [295] #ai,#machinelearning [280] #machinelearning,#iot [179] #machinelearning,#bigdata Top Word Pairs in Tweet in G2:
[66] #analytics,#datascience [65] #iot,#iiot [63] #datascience,#ai [62] #bigdata,#analytics [61] #iiot,#python [60] #ai,#machinelearning [58] #python,#rstats [57] #machinelearning,#iot [45] #java,#javascript [44] #rstats,#tensorflow Top Word Pairs in Tweet in G3:
[1922] #bigdata,#analytics [1784] #analytics,#datascience [1618] #iot,#iiot [1349] #datascience,#ai [898] #python,#rstats [854] #iiot,#python [822] #ai,#machinelearning [786] #machinelearning,#iot [601] #ai,#iot [358] #iiot,#pytorch Top Word Pairs in Tweet in G4:
[98] gt,gt [61] #bigdata,#analytics [59] #iot,#iiot [53] #analytics,#datascience [52] #python,#rstats [52] cloud,computing [51] computing,catalyst [51] catalyst,enterprise [51] enterprise,business [51] business,transformation Top Word Pairs in Tweet in G5:
[65] #cloud,#cloudcomputing [59] cloud,computing [53] #bigdata,#analytics [48] #analytics,#datascience [46] cloud,migration [44] #iot,#iiot [33] oracle,cloud [33] cloud,infrastructure [31] mod,strikes [31] strikes,deal Top Word Pairs in Tweet in G6:
[58] tiktok_us,oracle [58] oracle,walmart [57] mypov,talking [57] talking,mikewaltercgtn [57] mikewaltercgtn,cgtnglobalbiz [57] cgtnglobalbiz,cgtnofficial [57] cgtnofficial,tiktok_us [57] walmart,here's [56] rwang0,mypov [56] here's,analysis Top Word Pairs in Tweet in G7:
[56] read,more [51] #cloudcomputing,#amazon [50] #it,#certified [50] #certified,one [50] one,lesson [50] lesson,four [50] four,#aws [50] #aws,certificates [50] certificates,enrol [50] enrol,#cloudcomputing Top Word Pairs in Tweet in G8:
[9] learn,much [9] much,save [9] save,moving [9] moving,workloads [9] workloads,linode [9] linode,cloud [9] cloud,providers [9] providers,try [9] try,total [9] total,cost Top Word Pairs in Tweet in G9:
[7] mobile,taps [7] taps,dell [7] dell,vmware [7] vmware,microsoft [7] microsoft,5g [7] 5g,lab [7] lab,#5g [7] #5g,#5gnetwork [7] #5gnetwork,#digitaltransformation [7] #digitaltransformation,#cloudcomputing Top Word Pairs in Tweet in G10:
[16] #cloudcomputing,#technology [13] 'moving,targets [13] targets,top [13] top,priorities [13] priorities,cdos' [13] #technology,#analytics [11] cdos',oct [9] thebloorgroup,eric_kavanagh [9] #analytics,'moving [8] 22,sep Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: