The graph represents a network of 2,082 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, 16 May 2022 at 15:10 UTC.
The requested start date was Monday, 16 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 9-hour, 19-minute period from Friday, 13 May 2022 at 14:40 UTC to Sunday, 15 May 2022 at 23:59 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 : 2082
Unique Edges : 1783
Edges With Duplicates : 14539
Total Edges : 16322
Number of Edge Types : 5
MentionsInRetweet : 7783
Mentions : 855
Retweet : 6455
Tweet : 1206
Replies to : 23
Self-Loops : 1285
Reciprocated Vertex Pair Ratio : 0.00773411371237458
Reciprocated Edge Ratio : 0.0153495125492636
Connected Components : 211
Single-Vertex Connected Components : 134
Maximum Vertices in a Connected Component : 1704
Maximum Edges in a Connected Component : 15785
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.952996
Graph Density : 0.00111271598253444
Modularity : 0.216231
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,082 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, 16 May 2022 at 15:10 UTC.
The requested start date was Monday, 16 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 9-hour, 19-minute period from Friday, 13 May 2022 at 14:40 UTC to Sunday, 15 May 2022 at 23:59 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:
[3281] #bigdata,#analytics [3105] #analytics,#datascience [2647] #datascience,#ai [2456] #iot,#iiot [2411] #ai,#machinelearning [2250] #machinelearning,#iot [1195] #python,#rstats [1118] #iiot,#pytorch [1083] #pytorch,#python [629] #iiot,#python Top Word Pairs in Tweet in G1:
[1031] #bigdata,#analytics [1009] #analytics,#datascience [878] #datascience,#ai [873] #iot,#iiot [811] #ai,#machinelearning [762] #machinelearning,#iot [517] #python,#rstats [441] #iiot,#pytorch [424] #pytorch,#python [252] #iiot,#python Top Word Pairs in Tweet in G2:
[1887] #bigdata,#analytics [1781] #analytics,#datascience [1484] #datascience,#ai [1377] #ai,#machinelearning [1309] #iot,#iiot [1284] #machinelearning,#iot [540] #iiot,#pytorch [527] #python,#rstats [521] #pytorch,#python [496] check,gig Top Word Pairs in Tweet in G3:
[197] #bigdata,#analytics [165] #analytics,#datascience [159] #datascience,#ai [147] #iot,#iiot [118] #ai,#machinelearning [106] #machinelearning,#iot [85] #cloudcomputing,#ai [76] #pytorch,#python [74] #iiot,#pytorch [66] #ai,#ml Top Word Pairs in Tweet in G4:
[530] #cybersecurity,#hacker [390] #hacker,#infosec [256] #infosec,reach2ratan [207] reach2ratan,#security [194] #security,#cyber [180] #cyber,#tech [174] #cloudcomputing,#malware [166] #tech,#opensource [165] #cloud,#cloudsecurity [165] #cloudsecurity,#dataprotection Top Word Pairs in Tweet in G5:
[17] mobility,analytics [17] analytics,application [17] application,cloud [17] cloud,driven [17] driven,networks [17] networks,stadiums [17] stadiums,extrapolated [17] extrapolated,industries [17] industries,here's [17] here's,#cloudcomputing Top Word Pairs in Tweet in G6:
[72] cloud,computing [72] computing,cheat [72] cheat,sheet [72] sheet,credit [72] #infosec,#cybersecurity [72] #cybersecurity,#cybersecuritytips [72] #cybersecuritytips,#pentesting [71] credit,#infosec [70] hackinarticles,cloud [70] #pentesting,#o Top Word Pairs in Tweet in G7:
[39] #bigdata,#analytics [37] #analytics,#datascience [35] #datascience,#ai [32] #iot,#iiot [27] #ai,#machinelearning [27] #machinelearning,#iot [23] #cloud,skills [23] skills,biggest [23] biggest,impact [23] impact,hiring Top Word Pairs in Tweet in G8:
[32] good,read [32] read,article [32] article,zero [32] zero,trust [32] trust,microsoft [32] microsoft,maturity [32] maturity,guide [32] guide,jadkaraki [32] jadkaraki,#cloudcomputing [31] david_das_neves,good Top Word Pairs in Tweet in G9:
[35] ssd,vps [35] vps,servers [35] servers,fastest [35] fastest,cloud [35] cloud,servers [35] servers,market [35] market,1cpu [35] 1cpu,2gb [35] 2gb,ram [35] ram,20gb Top Word Pairs in Tweet in G10:
[11] #bigdata,#analytics [10] #analytics,#datascience [10] #datascience,#ai [8] #iot,#iiot [7] #ai,#machinelearning [7] #machinelearning,#iot [6] #iiot,#python [6] #python,#rstats [6] #rstats,#tensorflow [6] #tensorflow,#java Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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:
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:
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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: