The graph represents a network of 1,982 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 Thursday, 05 December 2019 at 14:17 UTC.
The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 13-hour, 24-minute period from Friday, 29 November 2019 at 11:35 UTC to Monday, 02 December 2019 at 01:00 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 : 1982
Unique Edges : 3362
Edges With Duplicates : 4077
Total Edges : 7439
Number of Edge Types : 3
Mentions : 6449
Tweet : 968
Replies to : 22
Self-Loops : 968
Reciprocated Vertex Pair Ratio : 0.0121647774398673
Reciprocated Edge Ratio : 0.0240371483201311
Connected Components : 309
Single-Vertex Connected Components : 184
Maximum Vertices in a Connected Component : 1394
Maximum Edges in a Connected Component : 6730
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.932467
Graph Density : 0.000932420048992166
Modularity : 0.380763
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,982 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 Thursday, 05 December 2019 at 14:17 UTC.
The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 13-hour, 24-minute period from Friday, 29 November 2019 at 11:35 UTC to Monday, 02 December 2019 at 01:00 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:
[2388] #bigdata,#analytics [2108] #analytics,#datascience [1906] #datascience,#ai [1585] #ai,#machinelearning [1492] gt,gt [1373] #iot,#iiot [1021] #iiot,#pytorch [930] #machinelearning,#iot [753] #pytorch,#python [578] #python,#rstats Top Word Pairs in Tweet in G1:
[1315] gt,gt [257] mikequindazzi,gt [236] #bigdata,#analytics [203] #analytics,#datascience [197] #ai,#machinelearning [196] #datascience,#ai [123] #iot,#iiot [120] projected,economic [120] economic,value [120] value,#digitaltransformation Top Word Pairs in Tweet in G2:
[1999] #bigdata,#analytics [1766] #analytics,#datascience [1591] #datascience,#ai [1294] #ai,#machinelearning [1168] #iot,#iiot [872] #iiot,#pytorch [782] #machinelearning,#iot [648] #pytorch,#python [516] #python,#rstats [292] #datascience,#iot Top Word Pairs in Tweet in G3:
[75] #graphene,make [75] make,computer [75] computer,1000 [75] 1000,times [75] times,faster [75] faster,wef [75] wef,fabriziobustama [75] fabriziobustama,#emergingtech [75] #emergingtech,#iot [75] #iot,#5g Top Word Pairs in Tweet in G4:
[29] #cloud,#cloudcomputing [20] cloud,computing [10] #cloudcomputing,#it [9] #cloudcomputing,#cloud [8] gt,gt [7] #azure,#cloudcomputing [7] #cloudcomputing,#technology [5] premise,cloud [5] cloud,erp [5] erp,right Top Word Pairs in Tweet in G5:
[126] gt,gt [87] #bigdata,#analytics [79] #analytics,#datascience [66] #datascience,#ai [48] #ai,#machinelearning [44] #iot,#iiot [33] #iiot,#pytorch [29] #machinelearning,#iot [28] #serverless,#cloudcomputing [28] #cloudcomputing,#cloudtuned Top Word Pairs in Tweet in G6:
[42] #cloudcomputing,#cloud [38] cloud,computing [37] #cloud,#cloudcomputing [17] microsoft,amazon [17] amazon,going [17] going,win [17] win,cloud [17] cloud,wars [17] wars,#cloudcomputing [17] #cloudcomputing,#cloudwars Top Word Pairs in Tweet in G7:
[20] strategy,architecture [20] architecture,#blockchain [20] #blockchain,#ai [20] #ai,#cybersecurity [20] #cybersecurity,#circulareconomy [20] #circulareconomy,#opendata [19] #opendata,#bigdata [19] #bigdata,#cloudcomputing [18] #smartcities,strategy [17] dinisguarda,#smartcities Top Word Pairs in Tweet in G8:
[29] prochaine,décennie [29] décennie,être [29] être,fatale [29] fatale,#entreprises [29] #entreprises,travaillent [29] travaillent,encore [29] encore,comme [29] comme,siècle [29] siècle,dernier [29] dernier,seule Top Word Pairs in Tweet in G9:
[9] keep,date [9] date,things [9] things,#microsoft [9] #microsoft,follow [9] follow,blogs [9] blogs,discover [9] discover,more [8] sharon__sumner,keep [8] more,#offi [3] art,successful Top Word Pairs in Tweet in G10:
[6] link,gt [4] antgrasso,cloud [3] antgrasso,hyper [3] hyper,automation [3] automation,cloud [3] cloud,created [3] created,noops [3] noops,environment [3] environment,software [3] software,provisioned Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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: