The graph represents a network of 1,263 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, 11 October 2021 at 14:39 UTC.
The requested start date was Monday, 11 October 2021 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, 23-hour, 26-minute period from Friday, 08 October 2021 at 00:29 UTC to Sunday, 10 October 2021 at 23:56 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 : 1263
Unique Edges : 825
Edges With Duplicates : 13658
Total Edges : 14483
Number of Edge Types : 5
Retweet : 6161
MentionsInRetweet : 6344
Tweet : 1708
Mentions : 255
Replies to : 15
Self-Loops : 1907
Reciprocated Vertex Pair Ratio : 0.00274509803921569
Reciprocated Edge Ratio : 0.00547516621040282
Connected Components : 262
Single-Vertex Connected Components : 199
Maximum Vertices in a Connected Component : 895
Maximum Edges in a Connected Component : 14007
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.081115
Graph Density : 0.0016042351305535
Modularity : 0.127985
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,263 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, 11 October 2021 at 14:39 UTC.
The requested start date was Monday, 11 October 2021 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, 23-hour, 26-minute period from Friday, 08 October 2021 at 00:29 UTC to Sunday, 10 October 2021 at 23:56 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:
[2341] #machinelearning,#bigdata [2203] #bigdata,#analytics [1733] #analytics,#datascience [1428] #iot,#iiot [1155] #datascience,#ai [948] #devcommunity,#technology [906] #bigdata,#devcommunity [891] #dataanalytics,#machinelearning [889] #python,#rstats [826] #pytorch,#python Top Word Pairs in Tweet in G1:
[1492] #machinelearning,#bigdata [1111] #bigdata,#analytics [857] #analytics,#datascience [844] #devcommunity,#technology [806] #bigdata,#devcommunity [741] #iot,#iiot [721] #dataanalytics,#machinelearning [692] desire,#website [692] #website,always [692] always,wanted Top Word Pairs in Tweet in G2:
[23] save,time [23] time,really [23] really,matters [23] matters,recruiting [23] recruiting,ai [23] ai,driven [23] driven,copilot [23] copilot,help [23] help,detect [23] detect,resolve Top Word Pairs in Tweet in G3:
[366] #bigdata,#analytics [305] #analytics,#datascience [245] #iot,#iiot [233] #machinelearning,#bigdata [221] #datascience,#ai [167] #python,#rstats [136] #ai,#machinelearning [117] #iiot,#python [114] #machinelearning,#iot [85] #pytorch,#python Top Word Pairs in Tweet in G4:
[86] #bigdata,#analytics [68] #machinelearning,#bigdata [58] #analytics,#datascience [41] #iot,#iiot [38] #datascience,#ai [30] interested,getting [30] getting,subscribe [30] subscribe,channel [29] #devops,#azure [28] playing,african Top Word Pairs in Tweet in G5:
[55] #cloudcomputing,#blockchain [54] q4,going [54] going,epic [54] epic,stay [54] stay,tuned [54] tuned,#cryptocurrency [54] #cryptocurrency,#decentralized [54] #decentralized,#cloudcomputing [53] runonflux,q4 [53] #blockchain,#w Top Word Pairs in Tweet in G6:
[168] #bigdata,#analytics [141] #machinelearning,#bigdata [135] #analytics,#datascience [127] #iot,#iiot [76] #python,#rstats [64] #ai,#machinelearning [64] #datascience,#ai [53] #dataanalytics,#machinelearning [49] #datascience,#iot [46] #machinelearning,#ai Top Word Pairs in Tweet in G7:
[126] #machinelearning,#bigdata [125] #bigdata,#analytics [96] #analytics,#datascience [61] #datascience,#ai [57] #iot,#iiot [31] #ai,#iot [26] #python,#rstats [25] #pytorch,#python [23] #dataanalytics,#machinelearning [23] udemy_coupons1,learn Top Word Pairs in Tweet in G8:
[115] #bigdata,#analytics [115] #analytics,#datascience [108] #iot,#iiot [76] #datascience,#ai [69] #iiot,#pytorch [67] #python,#rstats [62] #ai,#machinelearning [60] #machinelearning,#iot [58] #pytorch,#python [38] #rstats,#tensorflow Top Word Pairs in Tweet in G9:
[210] #machinelearning,#bigdata [161] #bigdata,#analytics [106] #analytics,#datascience [86] #datascience,#ai [73] #ai,#iot [62] #iot,#iiot [54] #python,#rstats [53] #iiot,#python [51] #javascript,#reactjs [50] #rstats,#tensorflow Top Word Pairs in Tweet in G10:
[63] #bigdata,#analytics [51] #analytics,#datascience [50] #machinelearning,#bigdata [37] #iot,#iiot [35] #datascience,#ai [28] #ai,#machinelearning [24] #python,#rstats [22] udemy_coupons1,learn [17] #ai,#iot [16] save,time 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 G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
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 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: