The graph represents a network of 899 Twitter users whose tweets in the requested range contained "corpgov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 28 August 2022 at 03:47 UTC.
The requested start date was Sunday, 28 August 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 12-day, 7-hour, 30-minute period from Sunday, 14 August 2022 at 00:16 UTC to Friday, 26 August 2022 at 07:46 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 : 899
Unique Edges : 966
Edges With Duplicates : 3887
Total Edges : 4853
Number of Edge Types : 5
Mentions : 1331
Replies to : 43
Tweet : 899
Retweet : 1138
MentionsInRetweet : 1442
Self-Loops : 1135
Reciprocated Vertex Pair Ratio : 0.0490974729241877
Reciprocated Edge Ratio : 0.0935994494150034
Connected Components : 87
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 671
Maximum Edges in a Connected Component : 4492
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.703417
Graph Density : 0.00179982212356714
Modularity : 0.249225
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 899 Twitter users whose tweets in the requested range contained "corpgov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 28 August 2022 at 03:47 UTC.
The requested start date was Sunday, 28 August 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 12-day, 7-hour, 30-minute period from Sunday, 14 August 2022 at 00:16 UTC to Friday, 26 August 2022 at 07:46 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 : corpgov
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:
[437] #corpgov,#esg [289] #csuite,#legaltech [266] #csr,#wef [236] #corpgov,#finserv [225] #legaltech,#hranalytics [223] #wef,#hr [219] #legaltech,#csuite [208] #hranalytics,#corpgov [199] #hranalytics,#finserv [197] #finserv,#csr Top Word Pairs in Tweet in G1:
[49] #corpgov,#grc [38] #corpgov,#corporategovernance [33] #corporategovernance,#esg [29] #grc,#esg [28] #corpgov,#ceo [27] #ceo,#cfo [25] #board,#boardofdirectors [24] #corpgov,#esg [23] #hr,#salesforce [21] #esg,#corpgov Top Word Pairs in Tweet in G2:
[72] #corpgov,#ceo [71] #ceo,#cfo [57] #board,#boardofdirectors [52] #boardofdirectors,#governance [33] #cfo,#chro [29] #governance,#compensationcommittee [29] #compensationcommittee,#auditcommittee [29] #auditcommittee,#nomgov [27] #nomgov,#boardleadership [25] #esg,#grc Top Word Pairs in Tweet in G3:
[24] harvardcorpgov,posted [19] #corpgov,#esg [7] proxy,season [7] wsj,#corpgov [6] posted,esg [6] tech,companies [6] companies,lean [6] lean,cyber [6] cyber,go [6] go,faster Top Word Pairs in Tweet in G4:
[8] #esg,investing [8] investing,tackle [8] tackle,generation [8] generation,urgent [8] urgent,environmental [8] environmental,social [8] social,challenges [8] challenges,#sri [7] #esg,#corpgov [7] #dei,#inclusionmatters Top Word Pairs in Tweet in G5:
[186] #corpgov,#esg [27] yahoo,finance [27] finance,#corpgov [24] #esg,#boardofdirectors [15] today,#corpgov [14] join,bdo_usa [14] bdo_usa,10 [14] 10,20 [14] 20,morning [14] morning,intellectually Top Word Pairs in Tweet in G6:
[4] jengwenbrown,braincures [4] braincures,phil_baty [4] phil_baty,asollowayuk [4] asollowayuk,keir_starmer [4] keir_starmer,johon_gutierrez [4] johon_gutierrez,nikogryzko [4] nikogryzko,saneeyaq [4] saneeyaq,clare_viney [3] do_kinder,jengwenbrown [3] clare_viney,appgstu Top Word Pairs in Tweet in G7:
[9] bojanabogojevic,#sdgs [8] #sdgs,#globalgoals [6] #climate,#climateemergency [6] #sdgs,#ozone [6] #ozone,#ozonelayer [6] #ozonelayer,#climate [6] #climate,#globalgoals [6] #globalgoals,#goodnews [6] #goodnews,greennewdeal_eu [6] greennewdeal_eu,unitedforplanet Top Word Pairs in Tweet in G8:
[22] tried,warn [22] warn,amazon [22] amazon,whole [22] whole,foods [22] foods,ceo [22] ceo,john [22] john,mackey [22] mackey,liability [22] liability,ajassy [22] ajassy,#boycottwholefoods Top Word Pairs in Tweet in G9:
[7] corporate,governance [4] harvard,law [4] law,school [4] school,forum [4] forum,corporate [4] deloitte,#un [4] #un,amir [4] amir,dossal [4] dossal,uk [4] uk,#icaew Top Word Pairs in Tweet in G10:
[267] #csuite,#legaltech [244] #csr,#wef [222] #corpgov,#finserv [211] #legaltech,#hranalytics [204] #wef,#hr [201] #legaltech,#csuite [193] #hranalytics,#corpgov [185] #hranalytics,#finserv [182] #finserv,#csr [173] #wef,#cx Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: