The graph represents a network of 2,823 Twitter users whose recent tweets contained "#cloud", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 07:19 UTC.
The tweets in the network were tweeted over the 3874-day, 2-hour, 9-minute period from Wednesday, 06 June 2012 at 22:50 UTC to Sunday, 15 January 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2823
Unique Edges : 2178
Edges With Duplicates : 8509
Total Edges : 10687
Number of Edge Types : 8
Tweet : 1651
Retweet : 2937
MentionsInRetweet : 4167
Mentions : 1373
Replies to : 227
MentionsInQuote : 208
Quote : 39
MentionsInReplyTo : 85
Self-Loops : 2622
Reciprocated Vertex Pair Ratio : 0.0120288692862871
Reciprocated Edge Ratio : 0.0237717908082409
Connected Components : 497
Single-Vertex Connected Components : 275
Maximum Vertices in a Connected Component : 1734
Maximum Edges in a Connected Component : 8418
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.117456
Graph Density : 0.000475239709855236
Modularity : 0.342083
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,823 Twitter users whose recent tweets contained "#cloud", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 07:19 UTC.
The tweets in the network were tweeted over the 3874-day, 2-hour, 9-minute period from Wednesday, 06 June 2012 at 22:50 UTC to Sunday, 15 January 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #cloud
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:
[314] #cybersecurity,#hacker [288] #hacker,#infosec [260] #bigdata,#devcommunity [255] #devcommunity,#technology [236] #technology,#programming [229] #ai,#iiot [221] #programming,#ai [217] dm,#cybersecurity [188] #linux,#python [171] #recover,#hacked Top Word Pairs in Tweet in G1:
[265] #cybersecurity,#hacker [248] #hacker,#infosec [181] dm,#cybersecurity [149] #cloud,#cloudsecurity [149] #cloudsecurity,#dataprotection [149] #dataprotection,#privacy [147] #gdpr,#cloud [147] #crime,#gdpr [139] #recover,#hacked [133] #privacy,#cloudcomputing Top Word Pairs in Tweet in G2:
[79] #saas,#cloud [78] #cloud,#logiciel [61] united,states [45] #cybersecurity,#hacker [39] states,python [36] #hacker,#infosec [36] dm,#cybersecurity [34] python,cloud [32] accounts,wallets [32] #hacked,retrieve Top Word Pairs in Tweet in G3:
[260] #bigdata,#devcommunity [255] #devcommunity,#technology [226] #technology,#programming [217] #programming,#ai [199] #ai,#iiot [167] #iiot,#100daysofcode [161] #datascience,#tech [161] #100daysofcode,#linux [158] #linux,#python [157] #cloudcomputing,#frenchtech Top Word Pairs in Tweet in G4:
[80] #security,#privacy [80] #privacy,#cloud [57] #opensource,#cloud [53] #linux,#opensource [30] #cloud,#devops [14] #devops,#devsecops [13] open,source [11] #itsm,#dev [10] #devsecops,#digitaltransformation [10] #lowcode,#cloud Top Word Pairs in Tweet in G5:
[43] blockchain,service [43] ethereum,blockchain [24] microsoft,azure [23] here's,microsoft's [23] presentation,ethereum [23] eth,baas [23] devcon1,presentation [23] service,eth [23] microsoft's,devcon1 [23] baas,azure Top Word Pairs in Tweet in G6:
[5] trends,watch [5] watch,2023 [3] industry,verticals [3] 2023,#tech [3] 2023,crisis [3] identifying,difficulty [3] management,#finops [3] difficulty,clearly [3] clearly,defining [3] verticals,gain Top Word Pairs in Tweet in G7:
[84] #healthtech,#smartcity [84] #csuite,#digitalhealth [84] #web3,#cx [84] #smartcity,#datascientist [84] #cx,#ehealth [84] #digitalhealth,#web3 [84] #ehealth,#finserv [84] #datascientist,#csuite [62] #finserv,#cloud [52] chidambara09,#healthtech Top Word Pairs in Tweet in G8:
[54] seedrcoil,free [54] free,give [54] found,#cloud [54] #cloud,#torrent [54] give,try [54] awesome,seedrcoil [54] #torrent,awesome [2] try,very Top Word Pairs in Tweet in G9:
[20] flux,01 [17] read,#pouw [17] created,#flux [17] #pouw,litepaper [17] industry,approach [17] changer,#crypto [17] litepaper,created [17] #flux,game [17] #crypto,industry [17] approach,proof Top Word Pairs in Tweet in G10:
[26] #avalanche,'s [26] market,amazon [26] infrastructure,#dapp [26] support,#avalanche [26] #dapp,ecosystem [26] 's,infrastructure [26] third,#cloud [26] #aws,support [26] amazon,#aws [26] #cloud,market Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G9:
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:
Top Tweeters in G2:
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: