The graph represents a network of 2,011 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, 19 May 2020 at 11:25 UTC.
The requested start date was Monday, 18 May 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 2-day, 16-hour, 30-minute period from Friday, 15 May 2020 at 07:30 UTC to Monday, 18 May 2020 at 00:00 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 : 2011
Unique Edges : 758
Edges With Duplicates : 9415
Total Edges : 10173
Number of Edge Types : 5
Tweet : 750
Retweet : 4406
MentionsInRetweet : 4684
Mentions : 328
Replies to : 5
Self-Loops : 820
Reciprocated Vertex Pair Ratio : 0.00394088669950739
Reciprocated Edge Ratio : 0.00785083415112856
Connected Components : 191
Single-Vertex Connected Components : 115
Maximum Vertices in a Connected Component : 1705
Maximum Edges in a Connected Component : 9770
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.824693
Graph Density : 0.000756288176224793
Modularity : 0.244716
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 2,011 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, 19 May 2020 at 11:25 UTC.
The requested start date was Monday, 18 May 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 2-day, 16-hour, 30-minute period from Friday, 15 May 2020 at 07:30 UTC to Monday, 18 May 2020 at 00:00 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:
[2764] #bigdata,#analytics [2540] #analytics,#datascience [1915] #iot,#iiot [1702] #datascience,#ai [1473] #python,#rstats [1104] #ai,#machinelearning [988] #machinelearning,#bigdata [947] #datascience,#iot [897] #iot,#python [757] #machinelearning,#iot Top Word Pairs in Tweet in G1:
[358] #machinelearning,#bigdata [328] #iot,#python [327] #bigdata,#datascience [285] #datascience,#iot [173] #ai,chip [173] chip,modeled [173] modeled,human [173] human,brain [173] brain,#theinsaneapp [173] #theinsaneapp,#autonomous Top Word Pairs in Tweet in G2:
[346] #bigdata,#analytics [345] #analytics,#datascience [343] #cybersecurity,#iot [343] #iot,#iiot [342] #webdev,#bigdata [342] #datascience,#cybersecurity [340] explaining,client [340] client,use [340] use,program [340] program,#webdev Top Word Pairs in Tweet in G3:
[1640] #bigdata,#analytics [1492] #analytics,#datascience [1134] #datascience,#ai [967] #iot,#iiot [903] #python,#rstats [696] #ai,#machinelearning [515] #machinelearning,#bigdata [487] #ai,#iot [474] #machinelearning,#iot [470] #iot,#python Top Word Pairs in Tweet in G4:
[582] #bigdata,#analytics [518] #analytics,#datascience [478] #iot,#iiot [374] #datascience,#ai [309] #ai,#machinelearning [244] #python,#rstats [232] #iiot,#python [215] #machinelearning,#iot [156] #datascience,#iot [129] #rstats,#tensorflow Top Word Pairs in Tweet in G5:
[218] gt,gt [82] #bigdata,#analytics [75] #analytics,#datascience [55] #iot,#iiot [53] #datascience,#ai [48] #ai,#iot [39] mikequindazzi,gt [37] #python,#rstats [37] #ai,#machinelearning [31] #datascience,#iot Top Word Pairs in Tweet in G6:
[17] #bigdata,#analytics [17] #analytics,#datascience [17] #datascience,#ai [16] dm,expertise [16] expertise,following [16] following,#bigdata [16] #ai,#machinelearning [16] #machinelearning,#iot [16] #iot,#iiot [16] #iiot,#python Top Word Pairs in Tweet in G7:
[18] #technologies,change [18] #vr,#ar [15] 10,#innovative [15] #innovative,#technologies [15] change,#world [15] #world,#ai [15] #ai,#health [15] #health,#sdgs [15] #sdgs,#robotics [15] #robotics,#datascience Top Word Pairs in Tweet in G8:
[96] #python,#rstats [90] #rstats,#java [90] #java,#javascript [90] #javascript,#reactjs [50] #reactjs,#cloudcomputing [49] #cloudcomputing,#html [41] #html,#serverless [39] look,code [39] code,wonder [39] wonder,crash Top Word Pairs in Tweet in G9:
[14] data,network [14] network,soln [14] soln,provider [14] provider,stl_tech [14] stl_tech,aiming [14] aiming,acquire [14] acquire,partner [14] partner,companies [14] companies,set [14] set,end Top Word Pairs in Tweet in G10:
[18] #analytics,#datascience [18] #cloudcomputing,#javascript [17] #bigdata,#analytics [16] free,#wordpress [16] #wordpress,theme [16] #software,#cloudcomputing [15] amazon,web [14] #javascript,#machinelearning [13] #iot,#iiot [13] codingeekplus,free Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
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: