The graph represents a network of 458 Twitter users whose recent tweets contained "#CSuite", 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 12/29/2022 2:58:08 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 19:45 UTC.
The tweets in the network were tweeted over the 1553-day, 8-hour, 48-minute period from Friday, 28 September 2018 at 01:45 UTC to Thursday, 29 December 2022 at 10:34 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 : 458
Unique Edges : 450
Edges With Duplicates : 12551
Total Edges : 13001
Number of Edge Types : 8
Mentions : 6937
Retweet : 2744
MentionsInRetweet : 3049
MentionsInReplyTo : 172
Tweet : 53
Quote : 5
Replies to : 16
MentionsInQuote : 25
Self-Loops : 6026
Reciprocated Vertex Pair Ratio : 0.0806962025316456
Reciprocated Edge Ratio : 0.149341142020498
Connected Components : 87
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 220
Maximum Edges in a Connected Component : 12724
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.814337
Graph Density : 0.00326316493554891
Modularity : 0.044536
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 458 Twitter users whose recent tweets contained "#CSuite", 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 12/29/2022 2:58:08 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 19:45 UTC.
The tweets in the network were tweeted over the 1553-day, 8-hour, 48-minute period from Friday, 28 September 2018 at 01:45 UTC to Thursday, 29 December 2022 at 10:34 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 : #CSuite
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:
[4847] #smartcity,#datascientist [4847] #healthtech,#smartcity [4845] #csuite,#digitalhealth [4844] #datascientist,#csuite [4841] #web3,#cx [4841] #digitalhealth,#web3 [4838] #cx,#ehealth [4837] #ehealth,#finserv [3214] #finserv,#cloud [2807] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[4429] #healthtech,#smartcity [4429] #csuite,#digitalhealth [4429] #web3,#cx [4429] #digitalhealth,#web3 [4428] #cx,#ehealth [4427] #smartcity,#datascientist [4427] #ehealth,#finserv [4427] #datascientist,#csuite [2896] #finserv,#cloud [2395] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[166] #smartcity,#datascientist [164] #healthtech,#smartcity [163] #csuite,#digitalhealth [163] #datascientist,#csuite [160] #digitalhealth,#web3 [160] #web3,#cx [158] #nodexl,#traveltech [158] #frenchtech,chidambara09 [158] #finserv,#cloud [158] #traveltech,#frenchtech Top Word Pairs in Tweet in G3:
[243] #healthtech,#smartcity [243] #datascientist,#csuite [243] chidambara09,#healthtech [243] #smartcity,#datascientist [242] #csuite,#digitalhealth [241] #digitalhealth,#web3 [241] #ehealth,#finserv [241] #cx,#ehealth [241] #web3,#cx [152] #finserv,#cloud Top Word Pairs in Tweet in G4:
[5] #healthtech,#csuite [4] career,industry [4] cso,yogesh [4] industry,read [4] connect,week [4] interview,#csuite [4] #csuite,#ciso [4] #executive,#csuite [4] druva,cso [4] #cybersecurity,career Top Word Pairs in Tweet in G5:
[6] #ceo,#cfo [6] #corpgov,#ceo [5] #cfo,#csuite [4] #csuite,#esg [4] #leadership,style [4] fare,today [4] welch,#leadership [4] style,fare [4] #esg,#grc [4] world,hbswk Top Word Pairs in Tweet in G6:
[3] diario,iprocuratio [3] consultores,thanks [3] iprocuratio,consultores [3] latest,diario [3] #healthtech,#csuite Top Word Pairs in Tweet in G7:
[10] #shrm,#hcm [10] #hrtech,#shrm [10] modern,global [10] #humanresources,#hrtech [10] #payroll,platform [10] help,#hr [10] global,#payroll [10] platform,demo [10] demo,#humanresources [10] #hr,modern Top Word Pairs in Tweet in G8:
[2] #womenleaders,#csuite [2] america,report [2] report,highlight [2] wbc,honored [2] featured,cnbcmakeit [2] ceos,america [2] honored,featured [2] findings,2022 [2] women,ceos [2] cnbcmakeit,findings Top Word Pairs in Tweet in G9:
[5] suite,career [4] genetics,recently [4] business,advice [4] worst,piece [4] jones,co [4] co,founder [4] raised,11million [4] funding,round [4] advice,aaron [4] cto,sano Top Word Pairs in Tweet in G10:
[9] 000,participants [9] academic,institutions [9] institutions,globe [9] #fortune500,companies [9] corporate,#fortune500 [9] participants,trained [9] elite,academic [9] top,corporate [9] companies,elite [9] 80,000 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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: