The graph represents a network of 1,624 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, 22 November 2021 at 15:41 UTC.
The requested start date was Monday, 22 November 2021 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 3-day, 4-hour, 23-minute period from Thursday, 18 November 2021 at 20:36 UTC to Monday, 22 November 2021 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 : 1624
Unique Edges : 1238
Edges With Duplicates : 14346
Total Edges : 15584
Number of Edge Types : 5
Retweet : 6443
MentionsInRetweet : 7137
Tweet : 1407
Mentions : 553
Replies to : 44
Self-Loops : 1622
Reciprocated Vertex Pair Ratio : 0.00744985673352436
Reciprocated Edge Ratio : 0.0147895335608646
Connected Components : 199
Single-Vertex Connected Components : 135
Maximum Vertices in a Connected Component : 1301
Maximum Edges in a Connected Component : 15087
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.967975
Graph Density : 0.00133396465221311
Modularity : 0.168816
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,624 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, 22 November 2021 at 15:41 UTC.
The requested start date was Monday, 22 November 2021 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 3-day, 4-hour, 23-minute period from Thursday, 18 November 2021 at 20:36 UTC to Monday, 22 November 2021 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:
[2167] #bigdata,#analytics [1735] #analytics,#datascience [1677] #iot,#iiot [1324] #datascience,#ai [1295] #python,#rstats [1286] #bigdata,#devcommunity [1242] #devcommunity,#technology [976] #pytorch,#python [957] #ai,#machinelearning [938] #infosec,#infosecurity Top Word Pairs in Tweet in G1:
[1353] #bigdata,#analytics [1176] #bigdata,#devcommunity [1165] #iot,#iiot [1133] #devcommunity,#technology [1090] #analytics,#datascience [866] #python,#rstats [852] #infosec,#infosecurity [836] #technology,#programming [835] #datascience,#ai [821] #programming,#ai Top Word Pairs in Tweet in G2:
[98] #bigdata,#analytics [82] #analytics,#datascience [73] #datascience,#ai [68] #iot,#iiot [46] #ai,#iot [44] #iiot,#pytorch [35] #ai,#machinelearning [34] #python,#rstats [28] #bigdata,#cloudcomputing [25] ingliguori,#bigdata Top Word Pairs in Tweet in G3:
[394] #bigdata,#analytics [351] #analytics,#datascience [255] #iot,#iiot [249] #datascience,#ai [217] #python,#rstats [215] #ai,#machinelearning [192] #iiot,#pytorch [173] #machinelearning,#iot [161] #pytorch,#python [155] #rstats,#tensorflow Top Word Pairs in Tweet in G4:
[67] decentralized,cloud [66] #bigdata,#devcommunity [63] #devcommunity,#technology [60] metaverse,looking [60] looking,home [60] home,run [60] run,#flux [60] #flux,web [60] web,decentralized [60] cloud,flux Top Word Pairs in Tweet in G5:
[30] copilot,acts [30] acts,extra [30] extra,pair [30] pair,eyes [30] eyes,ears [30] ears,increase [30] increase,situational [30] situational,awareness [30] awareness,exactly [30] exactly,extremecloud Top Word Pairs in Tweet in G6:
[163] #bigdata,#analytics [143] #machinelearning,#bigdata [130] #analytics,#datascience [114] #datascience,#ai [103] #iot,#iiot [85] #python,#rstats [72] #ai,#iot [70] #rstats,#tensorflow [61] #iiot,#python [50] #pytorch,#python Top Word Pairs in Tweet in G7:
[9] #aws,product [9] product,services [9] services,features [9] features,previews [9] previews,being [9] being,shared [9] shared,#reinvent [9] #reinvent,#developer [8] awscloud,#aws [8] #cloud,#cloudcomputing Top Word Pairs in Tweet in G8:
[49] #programming,#iot [49] #iot,#ai [49] #ai,#100daysofcode [49] #100daysofcode,#machinelearning [49] #machinelearning,#ml [49] #ml,#airdrop [49] #airdrop,#python [39] simulated,video [39] video,eye [39] eye,movements Top Word Pairs in Tweet in G9:
[79] #bigdata,#analytics [64] ruben_arce_s,#bigdata [57] #rstats,#tensorflow [56] #machinelearning,#cybersecurity [47] #analytics,#machinelearning [36] #cybersecurity,#rstats [36] #python,#rstats [32] #tensorflow,#javascript [27] #javascript,#cloudcomputing [26] #cloudcomputing,#serverless Top Word Pairs in Tweet in G10:
[17] #cloud,skills [17] today,break [17] break,fast [17] fast,growing [17] growing,field [15] skills,biggest [15] biggest,impact [15] impact,hiring [15] hiring,decisions [15] decisions,today Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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:
Top Tweeters in G2:
Top Tweeters in G3:
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: