The graph represents a network of 686 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, 13 October 2022 at 18:59 UTC.
The requested start date was Thursday, 13 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, 22-hour, 56-minute period from Thursday, 29 September 2022 at 00:35 UTC to Wednesday, 12 October 2022 at 23:32 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 : 686
Unique Edges : 462
Edges With Duplicates : 8380
Total Edges : 8842
Number of Edge Types : 5
Retweet : 3271
MentionsInRetweet : 1903
Tweet : 381
Mentions : 3274
Replies to : 13
Self-Loops : 1941
Reciprocated Vertex Pair Ratio : 0.0319284802043423
Reciprocated Edge Ratio : 0.0618811881188119
Connected Components : 182
Single-Vertex Connected Components : 111
Maximum Vertices in a Connected Component : 276
Maximum Edges in a Connected Component : 8135
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.774256
Graph Density : 0.0017194781979528
Modularity : 0.091982
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 686 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, 13 October 2022 at 18:59 UTC.
The requested start date was Thursday, 13 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, 22-hour, 56-minute period from Thursday, 29 September 2022 at 00:35 UTC to Wednesday, 12 October 2022 at 23:32 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:
[3929] #datascientist,#csuite [3925] #csuite,#digitalhealth [3925] #cx,#ehealth [3918] #healthtech,#datascientist [3911] #ehealth,#finserv [3869] #finserv,#cloud [3064] #web3,#cx [3063] #digitalhealth,#web3 [2705] #cloud,#insurtech [1878] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[13] #jobloss,proactively [13] proactively,updating [13] updating,part [13] putting,together [13] franticly,putting [13] #resume,#jobloss [13] together,#resume [12] eliteresumes,franticly [10] #csuite,#leadership [7] fractional,cmo Top Word Pairs in Tweet in G2:
[3865] #datascientist,#csuite [3862] #cx,#ehealth [3862] #csuite,#digitalhealth [3855] #healthtech,#datascientist [3848] #ehealth,#finserv [3812] #finserv,#cloud [3004] #digitalhealth,#web3 [3004] #web3,#cx [2680] #cloud,#insurtech [1822] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[442] #cybersecurity,#bigdata [442] #machinelearning,#datascience [438] app,link [434] #sql,#cybersecurity [434] #datascience,#sql [419] #bigdata,#analytics [410] link,#machinelearning [399] #ai,#iiot [397] #analytics,#ai [95] #iiot,#pythâ Top Word Pairs in Tweet in G4:
[136] #legaltech,#hranalytics [133] #hrtech,#hr [133] #hr,#legaltech [127] #salesforce,#cx [127] #hranalytics,#salesforce [77] martinhoyes,#hrtech [54] #csr,#csuite [52] #finserv,#csr [50] #corpgov,#finserv [50] #csuite,#wef Top Word Pairs in Tweet in G5:
[20] #datascience,#sql [20] app,link [20] #cybersecurity,#bigdata [20] #bigdata,#analytics [20] #sql,#cybersecurity [20] #ai,#iiot [20] #analytics,#ai [20] link,#machinelearning [20] #machinelearning,#datascience [13] sophisticated,frequent Top Word Pairs in Tweet in G6:
[14] payments,ecosystem [14] ecosystem,appointed [14] blockchain,based [14] amit,malik [14] wadzpay,interoperable [14] singapore,based [14] appointed,amit [14] based,wadzpay [14] agnostic,blockchain [14] based,payments Top Word Pairs in Tweet in G7:
[8] #business,school''s [8] #workplaces,harvard [8] significant,movement [8] explains,sudden [8] movement,unionize [8] unionize,#workplaces [8] sudden,significant [8] school''s,bill_george [8] harvard,#business [7] markccrowley,explains Top Word Pairs in Tweet in G8:
[15] #ceo,#cfo [15] #corpgov,#ceo [13] #cfo,#chro [11] #board,#boardofdirectors [11] #boardofdirectors,#governance [8] #chro,#hcm [7] #grc,#esg [7] #csuite,#grc [6] #csr,#board [6] #governance,#compensationcommittee Top Word Pairs in Tweet in G9:
[4] account,expansion [4] drastically,shift [4] shift,approach [4] results,account [4] augmented,intelligence [4] approach,results [4] intelligence,drastically [4] find,augmented [4] expansion,ceo [3] smartkarrot,find Top Word Pairs in Tweet in G10:
[7] spoke,week [5] learn,more [5] career,advice [5] week,career [4] emerging,technology [4] cto,sessions [4] interview,#csuite [4] excited,prospect [4] rimini,street [4] technology,excited Top Replied-To in Entire Graph:
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: