The graph represents a network of 699 Twitter users whose tweets in the requested range contained "#CSuite", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 15 December 2022 at 19:57 UTC.
The requested start date was Thursday, 15 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 13-day, 19-hour, 27-minute period from Thursday, 01 December 2022 at 03:00 UTC to Wednesday, 14 December 2022 at 22:27 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 : 699
Unique Edges : 744
Edges With Duplicates : 8754
Total Edges : 9498
Number of Edge Types : 5
Replies to : 12
Mentions : 3493
Retweet : 3213
MentionsInRetweet : 2542
Tweet : 238
Self-Loops : 2016
Reciprocated Vertex Pair Ratio : 0.100174216027875
Reciprocated Edge Ratio : 0.182106096595408
Connected Components : 160
Single-Vertex Connected Components : 107
Maximum Vertices in a Connected Component : 443
Maximum Edges in a Connected Component : 9147
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.23371
Graph Density : 0.00258863460285057
Modularity : 0.098004
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 699 Twitter users whose tweets in the requested range contained "#CSuite", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 15 December 2022 at 19:57 UTC.
The requested start date was Thursday, 15 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 13-day, 19-hour, 27-minute period from Thursday, 01 December 2022 at 03:00 UTC to Wednesday, 14 December 2022 at 22:27 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 : #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:
[4624] #csuite,#digitalhealth [4624] #datascientist,#csuite [4617] #healthtech,#smartcity [4617] #smartcity,#datascientist [4608] #digitalhealth,#web3 [4602] #web3,#cx [4595] #cx,#ehealth [4581] #ehealth,#finserv [3045] #finserv,#cloud [2797] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[3938] #datascientist,#csuite [3937] #csuite,#digitalhealth [3932] #smartcity,#datascientist [3932] #healthtech,#smartcity [3930] #digitalhealth,#web3 [3927] #web3,#cx [3919] #cx,#ehealth [3907] #ehealth,#finserv [2803] #finserv,#cloud [2145] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[14] franticly,putting [14] putting,together [14] #resume,#jobloss [14] together,#resume [14] proactively,updating [14] updating,part [14] #jobloss,proactively [13] eliteresumes,franticly [10] cyber,security [9] understand,cyber Top Word Pairs in Tweet in G3:
[39] top,hashtags [33] nodexl,nodexl [31] #payroll,#humanresources [31] #hr,#payroll [25] chidambara09,hashtagmarketi7 [24] #hr,#news [18] nodexl,chidambara09 [17] #humanresources,#hrtech [17] nodexl,eli_krumova [16] nodexl,this0499154500 Top Word Pairs in Tweet in G4:
[322] #healthtech,#smartcity [322] #csuite,#digitalhealth [322] #datascientist,#csuite [319] #smartcity,#datascientist [319] #digitalhealth,#web3 [318] #web3,#cx [316] #cx,#ehealth [311] #ehealth,#finserv [301] chidambara09,#healthtech [157] #finserv,#cloud Top Word Pairs in Tweet in G5:
[326] #csuite,#digitalhealth [326] #datascientist,#csuite [325] #healthtech,#smartcity [325] #smartcity,#datascientist [325] #digitalhealth,#web3 [324] #cx,#ehealth [323] #web3,#cx [323] #ehealth,#finserv [318] chidambara09,#healthtech [256] #finserv,#cloudâ Top Word Pairs in Tweet in G6:
[22] #corpgov,#ceo [19] #ceo,#cfo [18] #board,#boardofdirectors [16] #boardofdirectors,#governance [15] #grc,#esg [15] #governance,#compensationcommittee [11] #auditcommittee,#nomgov [11] #cfo,#chro [11] #compensationcommittee,#auditcommittee [10] #csuite,#grc Top Word Pairs in Tweet in G7:
[2] #csuite,#insurtech [2] #insurtech,#insurance [2] suite,mystified [2] #cybersecurity,#jargon [2] #fintech,#csuite [2] mystified,#cybersecurity [2] #jargon,#fintech Top Word Pairs in Tweet in G8:
[7] spoke,week [5] industry,#csuite [5] learn,more [4] 11,systems [4] 11,11 [4] steve,sims [4] week,career [3] career,journey [3] level,security [3] iain,saunderson Top Word Pairs in Tweet in G9:
[43] gt,gt [9] #csuite,gt [6] amymorinlcsw,mikequindazzi [6] things,mentally [6] strong,people [6] #futureofwork,#csuite [6] gt,#leadership [6] gt,amymorinlcsw [6] mentally,strong [6] people,gt Top Word Pairs in Tweet in G10:
[28] #sql,#cybersecurity [28] #cybersecurity,#bigdata [28] link,#machinelearning [28] #ai,#iiot [28] #machinelearning,#datascience [28] #analytics,#ai [28] app,link [28] #bigdata,#analytics [28] #datascience,#sql [15] #iiot,#python Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G10:
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: