The graph represents a network of 980 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 19:46 UTC.
The tweets in the network were tweeted over the 1594-day, 22-hour, 56-minute period from Friday, 28 September 2018 at 01:45 UTC to Thursday, 09 February 2023 at 00:42 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 : 980
Unique Edges : 751
Edges With Duplicates : 11224
Total Edges : 11975
Number of Edge Types : 8
Tweet : 237
Retweet : 3112
MentionsInRetweet : 3494
Mentions : 4728
MentionsInReplyTo : 164
Replies to : 59
Quote : 110
MentionsInQuote : 71
Self-Loops : 4244
Reciprocated Vertex Pair Ratio : 0.0545294635004398
Reciprocated Edge Ratio : 0.103419516263553
Connected Components : 199
Single-Vertex Connected Components : 104
Maximum Vertices in a Connected Component : 461
Maximum Edges in a Connected Component : 11142
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.771111
Graph Density : 0.00124971336849346
Modularity : 0.094835
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 980 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 19:46 UTC.
The tweets in the network were tweeted over the 1594-day, 22-hour, 56-minute period from Friday, 28 September 2018 at 01:45 UTC to Thursday, 09 February 2023 at 00:42 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:
[3909] #healthtech,#smartcity [3896] #csuite,#digitalhealth [3894] #digitalhealth,#web3 [3891] #web3,#cx [3890] #datascientist,#csuite [3878] #cx,#ehealth [3859] #smartcity,#5g [3852] #5g,#datascientist [3821] #vive2023,#healthtech [2536] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[3416] #healthtech,#smartcity [3412] #digitalhealth,#web3 [3412] #csuite,#digitalhealth [3409] #web3,#cx [3406] #datascientist,#csuite [3398] #cx,#ehealth [3380] #smartcity,#5g [3373] #5g,#datascientist [3334] #vive2023,#healthtech [2059] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[135] #corpgov,#salesforce [128] #csr,#csuite [127] #finserv,#csr [126] #salesforce,#finserv [126] #hrtech,#corpgov [125] #csuite,#salesforce [96] #datascientist,#csuite [96] #csr,#hrtech [96] #healthtech,#smartcity [96] #csuite,#digitalhealth Top Word Pairs in Tweet in G3:
[12] measures,suite [12] security,measures [12] #csuite,#vteam [12] #cybersecurity,#csuite [12] discuss,security [12] learn,discuss [12] 00,pm [12] suite,#cybersecurity [10] #sales,#territorymanager [10] #territorymanager,#accountmanager Top Word Pairs in Tweet in G4:
[88] cfo's,guide [88] #ai,#machinelearning [88] #serverless,#javascript [88] #iot,#serverless [88] #bigdata,#iot [88] #javascript,#flutter [88] #machinelearning,#bigdata [88] cloud,#ai [58] guide,#erp [58] #erp,cloud Top Word Pairs in Tweet in G5:
[392] #healthtech,#smartcity [390] #vive2023,#healthtech [383] #datascientist,#csuite [383] #digitalhealth,#web3 [383] #web3,#cx [383] #csuite,#digitalhealth [382] #cx,#ehealth [382] #5g,#datascientist [382] #smartcity,#5g [380] chidambara09,#vive2023 Top Word Pairs in Tweet in G6:
[44] cfo,outlook [44] outlook,survey [24] healthcare,cfo [24] 2023,bdohealth [24] bdohealth,healthcare [15] 2023,#csuite [15] increases,2022 [15] experienced,revenue [15] revenue,profitability [15] nearly,80 Top Word Pairs in Tweet in G7:
[14] healthcare,leader [14] #healthcare,check [14] content,stream [14] articles,executive [14] great,articles [14] #cio,#lifelonglearner [14] stream,great [14] check,special [14] change,agent [14] #boardleadership,#csuite Top Word Pairs in Tweet in G8:
[6] ask,person [6] ask,people [6] show,already [6] questions,trying [6] person,tell [6] people,questions [6] mindset,ask [6] little,themselves [6] already,know [6] themselves,common Top Word Pairs in Tweet in G9:
[11] #hr,#news [6] #appointments,#csuite [5] #news,#appointments [4] #appointments,#leadership [4] #csuite,#movements [4] vice,president [3] singh,recently [3] names,ashishsingh29 [3] senior,vice [3] officer,singh Top Word Pairs in Tweet in G10:
[11] working,tech [10] career,advice [9] learn,more [9] suite,career [8] spoke,week [8] misconceptions,working [8] tech,tips [8] common,misconceptions [7] ceo,eyalbd1 [7] valuable,career 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 G7:
Top Replied-To in G8:
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: