The graph represents a network of 2,219 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, 23 March 2020 at 11:56 UTC.
The requested start date was Monday, 23 March 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 3-day, 0-hour, 52-minute period from Thursday, 19 March 2020 at 23:07 UTC to Monday, 23 March 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 : 2219
Unique Edges : 3005
Edges With Duplicates : 3267
Total Edges : 6272
Number of Edge Types : 4
MentionsInRetweet : 4700
Tweet : 1173
Mentions : 389
Replies to : 10
Self-Loops : 1173
Reciprocated Vertex Pair Ratio : 0.00446888965280165
Reciprocated Edge Ratio : 0.00889801505817933
Connected Components : 525
Single-Vertex Connected Components : 408
Maximum Vertices in a Connected Component : 1500
Maximum Edges in a Connected Component : 5431
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.918294
Graph Density : 0.000593692233359652
Modularity : 0.414433
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 2,219 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, 23 March 2020 at 11:56 UTC.
The requested start date was Monday, 23 March 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 3-day, 0-hour, 52-minute period from Thursday, 19 March 2020 at 23:07 UTC to Monday, 23 March 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:
[2136] #bigdata,#analytics [2078] #analytics,#datascience [1709] #datascience,#ai [1651] #iot,#iiot [1279] #ai,#machinelearning [1253] #machinelearning,#iot [891] #python,#rstats [856] #iiot,#python [570] gt,gt [391] #iiot,#pytorch Top Word Pairs in Tweet in G1:
[35] cloud,computing [14] gt,gt [13] #cloud,#cloudcomputing [9] #cloudcomputing,#cloud [7] #cloudcomputing,#health [6] #cloudcomputing,#security [6] computing,trends [6] trends,2020 [6] covid,19 [6] 2020,#cloudcomputing Top Word Pairs in Tweet in G2:
[624] #bigdata,#analytics [593] #analytics,#datascience [524] #iot,#iiot [457] #datascience,#ai [385] #python,#rstats [280] #iiot,#python [279] #machinelearning,#iot [278] #ai,#machinelearning [157] #iiot,#pytorch [151] #pytorch,#python Top Word Pairs in Tweet in G3:
[268] increasing,volume [268] volume,complexity [268] complexity,data [267] data,due [266] due,growing [265] growing,mobile [262] rapidly,increasing [262] mobile,data [261] data,traffic [261] traffic,#cloudcomputing Top Word Pairs in Tweet in G4:
[67] cloud,computing [52] #bigdata,#analytics [50] #analytics,#datascience [48] multi,access [48] access,edge [48] edge,computing [48] computing,#mec [48] #mec,telcos [48] telcos,explore [48] explore,viable Top Word Pairs in Tweet in G5:
[1368] #bigdata,#analytics [1348] #analytics,#datascience [1120] #datascience,#ai [1019] #iot,#iiot [901] #ai,#machinelearning [869] #machinelearning,#iot [522] #iiot,#python [448] #python,#rstats [206] #iiot,#pytorch [173] #datascience,#iot Top Word Pairs in Tweet in G6:
[396] gt,gt [95] mikequindazzi,gt [82] gt,catchar_io [82] catchar_io,mikequindazzi [78] mikequindazzi,#ar [76] #ar,powered [76] powered,#metrocard [76] way,navigate [70] gt,#cloudcomputing [64] #metrocard,offers Top Word Pairs in Tweet in G7:
[28] #it,#certified [28] #certified,one [28] one,lesson [28] lesson,four [28] four,#aws [28] #aws,certificates [28] certificates,enrol [28] enrol,#cloudcomputing [28] #cloudcomputing,#amazon [18] l'omni,cloud Top Word Pairs in Tweet in G8:
[21] #bigdata,#analytics [19] #analytics,#datascience [17] gt,gt [12] #iot,#iiot [12] #datascience,#ai [9] #machinelearning,#iot [8] advantages,ai [8] ai,cloud [8] cloud,ronald_vanloon [8] ronald_vanloon,exagolo Top Word Pairs in Tweet in G9:
[23] #holochain,ideal [21] holo_of,#holochain [12] ideal,#supplychains [12] #supplychains,#micropayments [12] #micropayments,#energyefficiency [12] #energyefficiency,speed [12] speed,#holochain [12] #holochain,endlessly [11] ideal,#business [11] #business,run Top Word Pairs in Tweet in G10:
[6] edge,still [6] still,mostly [6] market,#artificialintelligence [5] #datacentre,#cloudcomputing [5] #cloud,#cloudcomputing [4] edge,computing [4] #cloudcomputing,computerweekly [4] gt,gt [4] #ai,edge [4] mostly,#consumer Top Replied-To in Entire Graph:
Top Replied-To in G4:
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:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: