The graph represents a network of 592 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, 06 October 2022 at 18:57 UTC.
The requested start date was Thursday, 06 October 2022 at 00:01 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, 23-hour, 2-minute period from Thursday, 22 September 2022 at 00:14 UTC to Wednesday, 05 October 2022 at 23:17 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 : 592
Unique Edges : 436
Edges With Duplicates : 8295
Total Edges : 8731
Number of Edge Types : 5
Retweet : 3282
MentionsInRetweet : 2178
Tweet : 356
Mentions : 2898
Replies to : 17
Self-Loops : 1703
Reciprocated Vertex Pair Ratio : 0.0508021390374332
Reciprocated Edge Ratio : 0.0966921119592875
Connected Components : 141
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 287
Maximum Edges in a Connected Component : 8253
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.017571
Graph Density : 0.0022465358759775
Modularity : 0.086535
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 592 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, 06 October 2022 at 18:57 UTC.
The requested start date was Thursday, 06 October 2022 at 00:01 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, 23-hour, 2-minute period from Thursday, 22 September 2022 at 00:14 UTC to Wednesday, 05 October 2022 at 23:17 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:
[3707] #datascientist,#csuite [3706] #csuite,#digitalhealth [3704] #cx,#ehealth [3700] #healthtech,#datascientist [3698] #ehealth,#finserv [3688] #web3,#cx [3687] #digitalhealth,#web3 [3648] #finserv,#cloud [3634] #cloud,#insurtech [2409] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[3497] #datascientist,#csuite [3496] #csuite,#digitalhealth [3495] #cx,#ehealth [3490] #healthtech,#datascientist [3489] #ehealth,#finserv [3481] #web3,#cx [3480] #digitalhealth,#web3 [3446] #finserv,#cloud [3434] #cloud,#insurtech [2206] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[15] franticly,putting [15] putting,together [15] together,#resume [15] #resume,#jobloss [15] #jobloss,proactively [15] proactively,updating [15] updating,part [14] eliteresumes,franticly [14] part,#car [6] #csuite,#leadership Top Word Pairs in Tweet in G3:
[445] #machinelearning,#datascience [444] #cybersecurity,#bigdata [441] app,link [436] #datascience,#sql [436] #sql,#cybersecurity [430] #bigdata,#analytics [426] link,#machinelearning [414] #analytics,#ai [409] #ai,#iiot [201] #healthtech,#datascientist Top Word Pairs in Tweet in G4:
[33] pay,12 [33] 12,interest [33] interest,free [32] free,installments [23] domain,name [23] name,sale [23] sale,pay [20] installments,arrange [20] coincidentally,available [17] available,acquisition Top Word Pairs in Tweet in G5:
[16] #corpgov,#ceo [16] #ceo,#cfo [11] #board,#boardofdirectors [10] #cfo,#chro [10] #boardofdirectors,#governance [10] #esg,#grc [7] #chro,#hcm [6] #leadership,#leader [6] #csuite,#esg [5] #governance,#boardleadership Top Word Pairs in Tweet in G6:
[119] #hr,#finserv [98] #salesforce,#cx [89] #cx,#corpgov [83] martinhoyes,#hrtech [83] #hranalytics,#salesforce [81] #hrtech,#hr [81] #hr,#legaltech [81] #legaltech,#hranalytics [73] #legaltech,#hr [70] #finserv,#salesforce Top Word Pairs in Tweet in G7:
[5] #hrnews,#news [5] #leadership,#csuite [5] #csuite,#hrcommunity [5] #csuite,#leadership [4] #csuite,ananthv9 [4] long,run [4] run,rushing [4] rushing,hire [4] hire,integrate [4] integrate,90 Top Word Pairs in Tweet in G8:
[8] gartner_inc,talentneuron [8] talentneuron,data [8] data,shows [8] shows,suite [8] suite,executives [8] executives,increasingly [8] increasingly,expected [8] expected,both [8] both,technical [7] technonbusiness,gartner_inc Top Word Pairs in Tweet in G9:
[6] #csuite,#hr [5] #redi,#inclusion [5] #inclusion,#diversity [5] #diversity,#leadership [5] #leadership,#ceo [5] #ceo,#csuite [5] #hr,#corporategovernance [3] genacox,employees [3] listennotes,nearly [3] nearly,000 Top Word Pairs in Tweet in G10:
[7] spoke,week [5] career,advice [5] learn,more [5] cio,role [5] ledion,bitincka [4] 25,years [4] years,experience [4] jan,manning [4] cio,spotlight [4] conventional,cio Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
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: