The graph represents a network of 1,991 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, 12 November 2019 at 11:12 UTC.
The requested start date was Monday, 11 November 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 3-day, 0-hour, 25-minute period from Friday, 08 November 2019 at 00:34 UTC to Monday, 11 November 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 : 1991
Unique Edges : 2808
Edges With Duplicates : 4031
Total Edges : 6839
Number of Edge Types : 3
Tweet : 1081
Mentions : 5744
Replies to : 14
Self-Loops : 1081
Reciprocated Vertex Pair Ratio : 0.010752688172043
Reciprocated Edge Ratio : 0.0212765957446809
Connected Components : 314
Single-Vertex Connected Components : 179
Maximum Vertices in a Connected Component : 1347
Maximum Edges in a Connected Component : 5999
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.194212
Graph Density : 0.00075919527320177
Modularity : 0.389454
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,991 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, 12 November 2019 at 11:12 UTC.
The requested start date was Monday, 11 November 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 3-day, 0-hour, 25-minute period from Friday, 08 November 2019 at 00:34 UTC to Monday, 11 November 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2614] #bigdata,#analytics [2230] #datascience,#ai [2162] #analytics,#datascience [1822] #ai,#machinelearning [1324] #iot,#iiot [1303] #machinelearning,#iot [781] gt,gt [543] #iiot,#pytorch [314] #pytorch,#python [256] #python,#rstats Top Word Pairs in Tweet in G1:
[1972] #bigdata,#analytics [1671] #datascience,#ai [1622] #analytics,#datascience [1359] #ai,#machinelearning [995] #iot,#iiot [967] #machinelearning,#iot [413] #iiot,#pytorch [243] #pytorch,#python [215] #python,#rstats [118] #iiot,# Top Word Pairs in Tweet in G2:
[675] gt,gt [362] #bigdata,#analytics [316] #datascience,#ai [307] #analytics,#datascience [258] #ai,#machinelearning [184] #machinelearning,#iot [178] #iot,#iiot [148] mikequindazzi,gt [75] gt,#ai [70] #iiot,#pytorch Top Word Pairs in Tweet in G3:
[181] #china,quietly [181] quietly,increased [181] increased,military [181] military,spending [181] spending,estimated [181] estimated,200 [181] 200,billion [181] billion,clear [181] clear,focus [181] focus,leveraging Top Word Pairs in Tweet in G4:
[32] cloud,computing [23] #cloud,#cloudcomputing [16] #cloudcomputing,#cloud [6] learn,more [6] #cloudcomputing,#aws [6] multi,cloud [6] free,cloud [6] #best,#opines [6] #opines,#cloudcomputing [5] forrester,5 Top Word Pairs in Tweet in G5:
[90] #cloudcomputing,#cloud [71] #cloudcomputing,#azure [40] #cloud,#azure [34] #azure,#msp [32] cloud,computing [32] azure,#cloudcomputing [23] cloud,adoption [22] microsoft,cloud [22] adoption,framework [22] framework,azure Top Word Pairs in Tweet in G6:
[46] mikequindazzi,gt [41] #futureofwork,includes [41] includes,increasingly [41] increasingly,frequent [41] frequent,#human [41] #human,#digital [41] #digital,interactions [41] interactions,sigchi [41] sigchi,mikequindazzi [41] gt,#robotics Top Word Pairs in Tweet in G7:
[61] #bigdata,#analytics [51] #datascience,#ai [47] #analytics,#datascience [41] #ai,#machinelearning [32] #iot,#iiot [30] #machinelearning,#iot [13] #iiot,#pytorch [12] #cloudcomputing,#cloudtuned [10] https,t [9] #devops,#cloudcomputing Top Word Pairs in Tweet in G8:
[84] #bigdata,#analytics [73] #analytics,#datascience [72] #datascience,#ai [64] #ai,#machinelearning [48] #machinelearning,#iot [46] #iot,#iiot [23] gt,gt [19] #iiot,#pytorch [9] #pytorch,#python [7] #iiot,# Top Word Pairs in Tweet in G9:
[47] #bigdata,#analytics [41] #datascience,#ai [40] #analytics,#datascience [37] #ai,#machinelearning [31] cloud,computing [31] #iot,#iiot [30] #machinelearning,#iot [22] #cloudcomputing,#cloudadoption [18] #neuralnetworks,#bitcoincash [18] #bitcoincash,#networking Top Word Pairs in Tweet in G10:
[23] kirkdborne,rtehrani [22] crudinschi,kirkdborne [21] rtehrani,iiot_world [18] iiot_world,deeplearn007 [18] deeplearn007,yvesmulkers [16] #cloud,#cloudcomputing [14] simonlporter,ronald_vanloon [13] ronald_vanloon,evankirstel [13] fogoros,nigewillson [12] valaafshar,fogoros Top Replied-To in Entire Graph:
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: