The graph represents a network of 2,118 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, 17 December 2019 at 14:42 UTC.
The requested start date was Monday, 16 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, 19-hour, 32-minute period from Friday, 13 December 2019 at 05:27 UTC to Monday, 16 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 : 2118
Unique Edges : 3920
Edges With Duplicates : 3584
Total Edges : 7504
Number of Edge Types : 3
Mentions : 6323
Tweet : 1169
Replies to : 12
Self-Loops : 1169
Reciprocated Vertex Pair Ratio : 0.0123307543520309
Reciprocated Edge Ratio : 0.0243611177454024
Connected Components : 353
Single-Vertex Connected Components : 222
Maximum Vertices in a Connected Component : 1466
Maximum Edges in a Connected Component : 6685
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.909715
Graph Density : 0.00093380489700045
Modularity : 0.436329
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2,118 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, 17 December 2019 at 14:42 UTC.
The requested start date was Monday, 16 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, 19-hour, 32-minute period from Friday, 13 December 2019 at 05:27 UTC to Monday, 16 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:
[1734] #bigdata,#analytics [1400] #analytics,#datascience [1258] #datascience,#ai [1158] #iot,#iiot [1013] gt,gt [964] #ai,#machinelearning [655] #iiot,#pytorch [577] #machinelearning,#iot [457] #pytorch,#python [321] #ai,#iot Top Word Pairs in Tweet in G1:
[982] #bigdata,#analytics [769] #analytics,#datascience [728] #datascience,#ai [619] #iot,#iiot [539] #ai,#machinelearning [339] #iiot,#pytorch [322] #machinelearning,#iot [237] #pytorch,#python [190] gt,gt [146] #cloudcomputing,#cloud Top Word Pairs in Tweet in G2:
[726] gt,gt [185] mikequindazzi,gt [121] gt,#pwc [119] #pwc,mikequindazzi [112] antgrasso,fisher85m [92] #infographic,mikequindazzi [85] mikequindazzi,antgrasso [84] gt,#ai [82] cartesian,coordinates [82] coordinates,prioritize Top Word Pairs in Tweet in G3:
[592] #bigdata,#analytics [516] #analytics,#datascience [426] #datascience,#ai [423] #iot,#iiot [332] #ai,#machinelearning [263] #iiot,#pytorch [208] #machinelearning,#iot [185] #pytorch,#python [110] #python,#rstats [87] #datascience,#iot Top Word Pairs in Tweet in G4:
[45] cloud,computing [34] #cloud,#cloudcomputing [13] #cloudcomputing,#cloud [13] #cloudcomputing,#it [11] #cloudcomputing,#technology [8] cloud,security [8] free,cloud [7] cloud,#cloudcomputing [7] #cloud,#infoworld [6] industry,#cloudcomputing Top Word Pairs in Tweet in G5:
[75] #graphene,make [75] make,computer [75] computer,1000 [75] 1000,times [75] times,faster [75] faster,wef [75] wef,fabriziobustama [74] fabriziobustama,#emergingtech [74] #emergingtech,#iot [74] #iot,#5g Top Word Pairs in Tweet in G6:
[41] gt,gt [39] #bigdata,#analytics [35] #cloud,#cloudcomputing [27] #iot,#iiot [25] #analytics,#datascience [24] #cloudcomputing,#cloud [22] #iot,#ai [21] #cloudcomputing,2020 [21] #ai,#machinelearning [20] #datascience,#ai Top Word Pairs in Tweet in G7:
[19] #best,#opines [18] #opines,#cloudcomputing [11] awscloud,#reinvent [8] #reinvent,over [8] over,year [8] year,gave [8] gave,plenty [8] plenty,focus [8] focus,2020 [8] 2020,check Top Word Pairs in Tweet in G8:
[9] aim,please [9] please,#startupbusiness [9] #startupbusiness,#machinelearning [9] #machinelearning,#softwaredevelopment [9] #softwaredevelopment,#ai [9] #ai,#bigdata [9] #bigdata,#bulksms [9] #bulksms,#iot [8] npontu,aim [8] #iot,#artificialintelligence Top Word Pairs in Tweet in G9:
[17] #graphene,make [17] make,computer [17] computer,1000 [17] 1000,times [17] times,faster [17] faster,wef [17] #emergingtech,#iot [16] #iot,#5g [15] wef,fabriziobustama [15] fabriziobustama,#emergingtech Top Word Pairs in Tweet in G10:
[7] article,cloud [5] #kindleunlimited,#kindlebook [5] #kindlebook,#kindle [5] #kindle,amazon [5] amazon,amazonkindle [5] amazonkindle,amazonkindle [5] amazonkindle,kindleindia [5] kindleindia,amazonkdp [4] edge,computing [4] myil1,#kindleunlimited Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
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Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G10: