The graph represents a network of 1,564 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, 08 June 2020 at 10:40 UTC.
The requested start date was Monday, 08 June 2020 at 00:01 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 1-day, 20-hour, 44-minute period from Saturday, 06 June 2020 at 03:09 UTC to Sunday, 07 June 2020 at 23:53 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 : 1564
Unique Edges : 776
Edges With Duplicates : 9981
Total Edges : 10757
Number of Edge Types : 5
Retweet : 4399
MentionsInRetweet : 5251
Tweet : 614
Mentions : 489
Replies to : 4
Self-Loops : 649
Reciprocated Vertex Pair Ratio : 0.00264350453172205
Reciprocated Edge Ratio : 0.00527306967984934
Connected Components : 177
Single-Vertex Connected Components : 115
Maximum Vertices in a Connected Component : 1267
Maximum Edges in a Connected Component : 10342
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.459388
Graph Density : 0.00108609746160001
Modularity : 0.199784
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,564 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, 08 June 2020 at 10:40 UTC.
The requested start date was Monday, 08 June 2020 at 00:01 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 1-day, 20-hour, 44-minute period from Saturday, 06 June 2020 at 03:09 UTC to Sunday, 07 June 2020 at 23:53 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 G2:
[989] #bigdata,#analytics [809] #analytics,#datascience [753] #iot,#iiot [533] #datascience,#ai [502] #python,#rstats [493] #ai,#machinelearning [392] #iiot,#python [323] #machinelearning,#iot [207] #datascience,#iot [176] data,science Top Word Pairs in Tweet in G3:
[1660] #python,#rstats [1439] #rstats,#java [1084] #java,#javascript [994] #javascript,#reactjs [852] #reactjs,#cloudcomputing [789] #cloudcomputing,#html [682] #html,#serverless [523] random,code [322] code,internet [312] internet,#python Top Word Pairs in Tweet in G4:
[227] gt,gt [184] #bigdata,#analytics [163] #analytics,#datascience [157] #python,#rstats [152] #iot,#iiot [150] #datascience,#ai [146] #ai,#machinelearning [110] #datascience,#iot [110] rvp,tweet [110] tweet,below Top Word Pairs in Tweet in G5:
[141] cloud,computing [98] #cloud,#cloudcomputing [92] #cloudcomputing,#cloud [76] edge,computing [52] cloud,platform [47] answer,question [45] #cloudcomputing,#health [35] saas,paas [32] paas,iaas [32] iaas,xaas Top Word Pairs in Tweet in G6:
[17] cloud,migration [8] #bigdata,#analytics [7] #iot,#iiot [7] day,#cloudcomputing [6] #python,#rstats [5] cloud,computing [5] #analytics,#datascience [5] #iiot,#python [5] edge,computing [5] technical,lead Top Word Pairs in Tweet in G7:
[18] #analytics,#datascience [18] #bigdata,#analytics [15] #python,#rstats [13] #datascience,#iot [13] #iot,#python [12] #iot,#iiot [12] #rstats,#cybersecurity [11] #ai,#bigdata [10] #datascience,#ai [10] tweet,below Top Word Pairs in Tweet in G8:
[170] #healthcare,#cloudcomputing [154] #cloudcomputing,answer [135] answer,question [105] question,#webinar [82] mentorhealth1,#healthcare [82] #webinar,#healthca [75] amazon,web [62] cloud,computing [59] view,verified [58] verified,achievement Top Word Pairs in Tweet in G9:
[10] 2020,buy [10] buy,virtual [10] virtual,shares [10] shares,hosting [9] hosting,credits [9] credits,#cloud [8] #cloudcomputing,surpass [8] surpass,266 [5] 266,billion [5] billion,2020 Top Word Pairs in Tweet in G10:
[8] #datascience,#machinelearning [8] short,term [8] term,energy [8] energy,outlook [8] outlook,#datascience [8] #machinelearning,#deeplearning [7] #deeplearning,#ai [7] #ai,#datamining [7] #datamining,#bigdata [7] cloud,computing Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G8:
Top Replied-To in G9:
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: