The graph represents a network of 921 Twitter users whose tweets in the requested range contained "NodeXL", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 27 December 2022 at 16:17 UTC.
The requested start date was Tuesday, 27 December 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 10-day, 8-hour, 53-minute period from Friday, 16 December 2022 at 15:43 UTC to Tuesday, 27 December 2022 at 00:37 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 : 921
Unique Edges : 1688
Edges With Duplicates : 16792
Total Edges : 18480
Number of Edge Types : 5
Mentions : 6625
MentionsInRetweet : 6400
Retweet : 4434
Replies to : 82
Tweet : 939
Self-Loops : 3567
Reciprocated Vertex Pair Ratio : 0.0782339271882262
Reciprocated Edge Ratio : 0.145114942528736
Connected Components : 16
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 875
Maximum Edges in a Connected Component : 18440
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.895501
Graph Density : 0.00328565359014304
Modularity : 0.095734
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 921 Twitter users whose tweets in the requested range contained "NodeXL", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 27 December 2022 at 16:17 UTC.
The requested start date was Tuesday, 27 December 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 10-day, 8-hour, 53-minute period from Friday, 16 December 2022 at 15:43 UTC to Tuesday, 27 December 2022 at 00:37 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 : 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[6372] #healthtech,#smartcity [6367] #datascientist,#csuite [6364] #smartcity,#datascientist [6342] #csuite,#digitalhealth [6331] #digitalhealth,#web3 [6323] #web3,#cx [6279] #cx,#ehealth [6267] #ehealth,#finserv [4869] #finserv,#cloud [3671] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[57] top,hashtags [22] nodexl,michaelbathurst [22] #exchangestrong,nodexl [18] thartman2u,michaelbathurst [16] nodexl,eli_krumova [15] nodexl,chidambara09 [15] michaelbathurst,chidambara09 [14] nebraskasower,jeremyhl [14] chidambara09,exchangeclub [14] jeremyhl,thartman2u Top Word Pairs in Tweet in G2:
[6171] #healthtech,#smartcity [6166] #datascientist,#csuite [6162] #smartcity,#datascientist [6140] #csuite,#digitalhealth [6133] #digitalhealth,#web3 [6122] #web3,#cx [6118] #cx,#ehealth [6107] #ehealth,#finserv [4721] #finserv,#cloud [3475] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[191] #datascientist,#csuite [191] #smartcity,#datascientist [191] #web3,#cx [191] #healthtech,#smartcity [191] #csuite,#digitalhealth [188] #digitalhealth,#web3 [187] chidambara09,#healthtech [151] #cx,#ehealth [150] #ehealth,#finserv [149] sheraj99,gp_pulipaka Top Word Pairs in Tweet in G4:
[65] winter,school [38] few,clicks [37] networks,nodexl [37] insights,eventbrite [37] nodexl,pro [37] 2023,winter [37] clicks,insights [37] pro,few [37] school,social [37] social,networks Top Word Pairs in Tweet in G5:
[4] socialsecurity,medicaregov [3] afrotech,startupweekend [3] nycmwbe,afrotech [3] nychra,medicaidgov [2] medicaregov,schizoaffective [2] 2013,nychra [2] slackapi,motorious_tv [2] threadreaderapp,nodexl [2] motorious_tv,threadreaderapp [2] motorious_moto,socialsecurity Top Word Pairs in Tweet in G6:
[8] ieeewie,ieeespectrum [8] ieeespectrum,ieeeorg [8] ieeeorg,ieee_emcs [6] please,see [6] conducted,toptal [6] ieeeiot,iet [6] toptal,ieeeiot [6] survey,conducted [6] #womenintech,survey [6] see,#womenintech Top Word Pairs in Tweet in G7:
[12] #eval,nodexl [6] eval_forward,coop_evaluacion [6] nodexl,eval_forward [4] unfpa_eval,alnap [4] nodexl,this0499154500 [4] this0499154500,evaluland [4] alnap,evalacademy [4] tiffany7001,unfpa_eval [4] evaluland,tiffany7001 [4] salhaj,#eval Top Word Pairs in Tweet in G8:
[10] #web3,#cx [10] #smartcity,#datascientist [10] #csuite,#digitalhealth [10] #cx,#ehealth [10] #digitalhealth,#web3 [10] #healthtech,#smartcity [10] #datascientist,#csuite [10] #finserv,#cloud [10] #ehealth,#finserv [9] chidambara09,#healthtech 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 G10: