The graph represents a network of 1,604 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, 29 December 2020 at 13:00 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 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, 5-hour, 50-minute period from Friday, 25 December 2020 at 19:04 UTC to Monday, 28 December 2020 at 00:55 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 : 1604
Unique Edges : 1301
Edges With Duplicates : 14094
Total Edges : 15395
Number of Edge Types : 5
Retweet : 6433
MentionsInRetweet : 7370
Mentions : 372
Tweet : 1201
Replies to : 19
Self-Loops : 1377
Reciprocated Vertex Pair Ratio : 0.00581226387678001
Reciprocated Edge Ratio : 0.0115573533660792
Connected Components : 275
Single-Vertex Connected Components : 221
Maximum Vertices in a Connected Component : 1205
Maximum Edges in a Connected Component : 14705
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.711036
Graph Density : 0.00134605781242465
Modularity : 0.177669
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,604 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, 29 December 2020 at 13:00 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 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, 5-hour, 50-minute period from Friday, 25 December 2020 at 19:04 UTC to Monday, 28 December 2020 at 00:55 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:
[3854] #bigdata,#analytics [3716] #analytics,#datascience [3054] #iot,#iiot [2683] #datascience,#ai [2117] #ai,#machinelearning [1832] #machinelearning,#iot [1585] #python,#rstats [1348] #iiot,#pytorch [1266] #pytorch,#python [940] #iiot,#python Top Word Pairs in Tweet in G1:
[975] #bigdata,#analytics [934] #analytics,#datascience [782] #iot,#iiot [646] #datascience,#ai [539] #ai,#machinelearning [489] #machinelearning,#iot [442] #python,#rstats [376] #iiot,#pytorch [375] #pytorch,#python [272] #datascience,#iot Top Word Pairs in Tweet in G2:
[2524] #bigdata,#analytics [2447] #analytics,#datascience [1975] #iot,#iiot [1788] #datascience,#ai [1377] #ai,#machinelearning [1162] #machinelearning,#iot [1005] #python,#rstats [855] #iiot,#pytorch [778] #pytorch,#python [615] #iiot,#python Top Word Pairs in Tweet in G3:
[110] #cudos,#cloudcomputing [26] cloud,computing [13] computing,trends [12] head,2021 [12] 2021,biggest [12] biggest,cloud [12] trends,keep [12] keep,eye [12] eye,#cloudcomputing [12] #cloudcomputing,#2021 Top Word Pairs in Tweet in G4:
[278] #cybersecurity,#digital [184] #digital,#hackers [120] #hackers,#infosec [83] #iot,#iiot [80] #analytics,#datascience [78] #bigdata,#analytics [72] #infosec,reach2ratan [66] #datascience,#ai [56] reach2ratan,#malware [48] #malware,#cloud Top Word Pairs in Tweet in G5:
[16] cloud,computing [15] #cloud,#cloudcomputing [12] #bleepingcomputer,blog [11] #cloudcomputing,#cloud [11] public,cloud [9] world,tutorials [9] tutorials,happy [9] happy,coding [9] private,cloud [9] computing,vs Top Word Pairs in Tweet in G6:
[30] #bigdata,#analytics [29] #analytics,#datascience [26] #iot,#iiot [18] #datascience,#ai [17] #python,#rstats [16] #pytorch,#python [15] #ai,#machinelearning [15] #iiot,#pytorch [14] #machinelearning,#iot [12] #rstats,#tensorflow Top Word Pairs in Tweet in G7:
[55] #cudos,#defi [55] #defi,#blockchain [55] #blockchain,#cloudcomputing [55] #cloudcomputing,#crypto [55] #crypto,cudos_ [52] airdrops_id,cudos [43] cudos,infographic [43] infographic,#cudos [43] cudos_,cctip_io [43] cctip_io,airdrop Top Word Pairs in Tweet in G8:
[150] #entrepreneur,#sidehustle [149] #sidehustle,#uksmallbiz [147] #uksmallbiz,#cloudcomputing [147] #cloudcomputing,#javascript [146] #rumble,#entrepreneur [141] #javascript,#machinelearning [128] video,#rumble [128] #machinelearning,#onlinejobs [75] nathan_hvnter,video [65] #onlinejobs,#onlineclas Top Word Pairs in Tweet in G9:
[118] #bigdata,#analytics [113] #analytics,#datascience [96] #iot,#iiot [91] #datascience,#ai [76] #ai,#machinelearning [65] #machinelearning,#iot [57] gt,gt [45] #iiot,#pytorch [40] #pytorch,#python [38] #python,#rstats Top Word Pairs in Tweet in G10:
[59] #bigdata,#analytics [47] #analytics,#datascience [43] #iot,#iiot [27] #python,#rstats [25] #datascience,#ai [21] #rstats,#tensorflow [17] #machinelearning,#iot [16] #datascience,#iot [15] #iiot,#python [15] #ai,#machinelearning Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: