The graph represents a network of 778 Twitter users whose recent tweets contained "NodeXL", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 07 February 2023 at 03:06 UTC.
The tweets in the network were tweeted over the 9-day, 21-hour, 51-minute period from Saturday, 28 January 2023 at 04:53 UTC to Tuesday, 07 February 2023 at 02:44 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 : 855
Unique Edges : 1930
Edges With Duplicates : 13324
Total Edges : 15254
Number of Edge Types : 5
Mentions : 4830
MentionsInRetweet : 8337
Retweet : 1824
Replies to : 200
Tweet : 63
Self-Loops : 969
Reciprocated Vertex Pair Ratio : 0.0654781199351702
Reciprocated Edge Ratio : 0.122908427137207
Connected Components : 11
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 819
Maximum Edges in a Connected Component : 15177
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.92286
Graph Density : 0.00450169138693729
Modularity : 0.145131
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 778 Twitter users whose recent tweets contained "NodeXL", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 07 February 2023 at 03:06 UTC.
The tweets in the network were tweeted over the 9-day, 21-hour, 51-minute period from Saturday, 28 January 2023 at 04:53 UTC to Tuesday, 07 February 2023 at 02:44 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 : TwitterSearch
Graph Term : NodeXL
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2256] #web3,#cx [2251] #insurtech,#nodexl [2247] #digitalhealth,#web3 [2245] #frenchtech,chidambara09 [2245] #nodexl,#traveltech [2244] #healthtech,#smartcity [2242] #csuite,#digitalhealth [2241] #ehealth,#finserv [2241] #cx,#ehealth [2241] #datascientist,#csuite Top Word Pairs in Tweet in G1:
[74] #influencers,nodexl [60] #iotpl,#iotcl [57] fabriziobustama,globaliqx [55] huaweiusa,womenwhocode [55] stemwomen,womenintech [55] technative,nodexl [55] nokia,huaweiusa [55] nodexl,nokia [55] womenwhocode,stemwomen [52] khulood_almani,thepeopleshubuk Top Word Pairs in Tweet in G2:
[1822] #insurtech,#nodexl [1819] #web3,#cx [1817] #healthtech,#smartcity [1817] #digitalhealth,#web3 [1817] #frenchtech,chidambara09 [1817] #nodexl,#traveltech [1815] #csuite,#digitalhealth [1814] #datascientist,#csuite [1814] #ehealth,#finserv [1814] #cx,#ehealth Top Word Pairs in Tweet in G3:
[410] #insurtech,#nodexl [409] #nodexl,#traveltech [409] #digitalhealth,#web3 [409] #frenchtech,chidambara09 [409] #selfdrivingcars,#socialmedia [409] #web3,#cx [408] #ehealth,#finserv [408] #cx,#ehealth [405] betamoroney,enilev [405] #healthtech,#smartcity Top Word Pairs in Tweet in G4:
[30] top,hashtags [18] nodexl,jeremyhl [16] #smprofs,#prprofs [15] #prprofs,#smle2022 [11] jeremyhl,michaelbathurst [9] hashtags,#smprofs [9] docassar,michaelbathurst [8] michaelbathurst,thartman2u [7] #smle2022,#smpc2023 [6] 3vil_qu33n,thartman2u Top Word Pairs in Tweet in G5:
[31] faby_nava77,marotoreyes [31] jesusalvarezg,ifema [31] sitioparapostre,jatirado [31] toneta24,jcsmadrid [31] locuspolitikus,sanchezcastejon [31] jcsmadrid,szilviade_ [31] idiazayuso,nunezfeijoo [31] szilviade_,dpiloncita [31] maralezama,lopezobrador_ [31] paoloigna1,jesusalvarezg Top Word Pairs in Tweet in G6:
[6] top,hashtags [2] fi,nodexl [2] #turpo,#nato [2] hashtags,#saamelaiskäräjälaki Top Word Pairs in Tweet in G8:
[18] #nodexl,#rstats [18] #gephi,#nodexl [10] #datascience,#openscience [10] #mediaresearchinstitute,#twitterresearchproject [8] chidambara09,analytics_699 [8] nodexl,acerjapan [8] edimosip,spin9 [8] analytics_699,jeffkagan [8] #rstats,#socialnetwork [8] #machinelearning,#ml Top Word Pairs in Tweet in G10:
[18] #web3,#cx [18] betamoroney,enilev [18] #csuite,#digitalhealth [18] #cx,#ehealth [18] #digitalhealth,#web3 [18] #selfdrivingcars,#socialmedia [18] #healthtech,#smartcity [18] #datascientist,#csuite [18] #ehealth,#finserv [18] #nodexl,#traveltech Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G9:
Top Tweeters in G10: