The graph represents a network of 2,231 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, 24 January 2022 at 15:40 UTC.
The requested start date was Monday, 24 January 2022 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, 8-hour, 20-minute period from Wednesday, 19 January 2022 at 18:00 UTC to Saturday, 22 January 2022 at 02:21 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 : 2231
Unique Edges : 2086
Edges With Duplicates : 14266
Total Edges : 16352
Number of Edge Types : 5
Retweet : 6121
MentionsInRetweet : 7461
Mentions : 1151
Tweet : 1554
Replies to : 65
Self-Loops : 1811
Reciprocated Vertex Pair Ratio : 0.0139177399252181
Reciprocated Edge Ratio : 0.0274533906986273
Connected Components : 322
Single-Vertex Connected Components : 208
Maximum Vertices in a Connected Component : 1682
Maximum Edges in a Connected Component : 15418
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.910053
Graph Density : 0.000981079891379723
Modularity : 0.22772
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,231 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, 24 January 2022 at 15:40 UTC.
The requested start date was Monday, 24 January 2022 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, 8-hour, 20-minute period from Wednesday, 19 January 2022 at 18:00 UTC to Saturday, 22 January 2022 at 02:21 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:
[2332] #bigdata,#analytics [1677] #analytics,#datascience [1384] #datascience,#ai [1365] #iot,#iiot [1191] #bigdata,#devcommunity [1176] #devcommunity,#technology [1088] #ai,#iiot [1069] #python,#rstats [924] #technology,#programming [902] #iiot,#pytorch Top Word Pairs in Tweet in G1:
[1876] #bigdata,#analytics [1303] #analytics,#datascience [1123] #datascience,#ai [1077] #bigdata,#devcommunity [1060] #devcommunity,#technology [996] #iot,#iiot [996] #ai,#iiot [842] #technology,#programming [837] #python,#rstats [795] #programming,#ai Top Word Pairs in Tweet in G2:
[90] #bigdata,#analytics [90] #devcommunity,#technology [88] #bigdata,#devcommunity [79] #iot,#iiot [71] gave,kred [71] kred,#influence [71] #ai,#iiot [67] #technology,#programming [60] #analytics,#datascience [59] #programming,#ai Top Word Pairs in Tweet in G3:
[44] #bigdata,#analytics [33] web3,people [33] people,people [33] people,web3 [33] web3,community [33] community,cypherpunks [33] cypherpunks,visionaries [33] visionaries,flux [32] runonflux,web3 [32] flux,commu Top Word Pairs in Tweet in G4:
[53] #cloudcomputing,#hosting [53] #hosting,#datacenter [46] #machinelearning,#bigdata [42] #analytics,#datascience [36] #cloud,#cloudcomputing [36] #bigdata,#analytics [30] #deeplearning,#analytics [29] private,cloud [27] #cloud,training [25] #cloudcomputing,#digital Top Word Pairs in Tweet in G5:
[38] learn,more [35] networking,data [35] data,make [35] make,business [35] business,more [35] more,efficient [35] efficient,learn [35] more,extreme [35] extreme,networks' [35] networks',latest Top Word Pairs in Tweet in G6:
[254] #bigdata,#analytics [237] #iot,#iiot [223] #analytics,#datascience [163] #machinelearning,#iot [162] #datascience,#ai [159] #python,#rstats [155] #ai,#machinelearning [141] #iiot,#pytorch [128] #pytorch,#python [91] #rstats,#tensorflow Top Word Pairs in Tweet in G7:
[22] explain,differences [22] differences,between [22] between,iaas [22] iaas,paas [22] paas,saas [22] saas,using [22] using,pizza [20] pizza,thanks [20] thanks,opheliejanus [20] opheliejanus,antgrasso Top Word Pairs in Tweet in G8:
[19] different,types [19] types,#cloudcomputing [18] vxchnge,ingliguori [17] #cloudcomputing,differ [17] differ,vxchnge [17] ingliguori,#hybridcloud [17] #hybridcloud,#cloud [17] #cloud,#privatecloud [16] wissen_tech,different [16] #privatecloud,# Top Word Pairs in Tweet in G9:
[15] #decentralized,#cloudcomputing [14] iex_ec,rlc [11] #cloudcomputing,#web3 [9] rlc,iex_ec [8] #web3,#buidl [8] #buidl,#decentralized [8] iex_ec,pioneer [7] follow,jon_mcmlvii [7] jon_mcmlvii,awesome [7] awesome,collaboration Top Word Pairs in Tweet in G10:
[13] latest,hottest [13] hottest,skill [13] skill,#dataanalytics [13] #dataanalytics,data [13] data,drone [13] drone,pilot [11] #cloudcomputing,#businessintelligence [10] #analytics,#cloudcomputing [10] #machinelearning,#iot [9] #datascience,#machinelearning Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: