The graph represents a network of 1,267 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, 16 January 2022 at 04:12 UTC.
The requested start date was Sunday, 16 January 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, 3-hour, 7-minute period from Sunday, 02 January 2022 at 04:21 UTC to Saturday, 15 January 2022 at 07:28 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 : 1267
Unique Edges : 1132
Edges With Duplicates : 5185
Total Edges : 6317
Number of Edge Types : 5
Replies to : 63
Mentions : 1836
Retweet : 1396
MentionsInRetweet : 2011
Tweet : 1011
Self-Loops : 1130
Reciprocated Vertex Pair Ratio : 0.0407938257993385
Reciprocated Edge Ratio : 0.0783898305084746
Connected Components : 86
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 1039
Maximum Edges in a Connected Component : 5982
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.738696
Graph Density : 0.0011770412126517
Modularity : 0.250642
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,267 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, 16 January 2022 at 04:12 UTC.
The requested start date was Sunday, 16 January 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, 3-hour, 7-minute period from Sunday, 02 January 2022 at 04:21 UTC to Saturday, 15 January 2022 at 07:28 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:
[705] #corpgov,togovern [252] #csr,#corpgov [235] martinhoyes,#hrtech [226] learn,try [206] #corpgov,#aml [206] #aml,#crypto [206] #crypto,#finserv [206] #finserv,#wef [206] #wef,#datagovernance [202] #datagovernance,#futureofwork Top Word Pairs in Tweet in G1:
[406] #corpgov,togovern [111] yahoo,finance [106] finance,#corpgov [86] #corpgov,#ceo [76] #ceo,#cfo [66] #boardofdirectors,#governance [63] #esg,#grc [61] moody's,assigns [60] #board,#boardofdirectors [37] #csr,#corpgov Top Word Pairs in Tweet in G2:
[164] original,source [163] source,video [163] video,corpgov [163] corpgov,hedge [163] hedge,fund [163] fund,veteran [163] gradante,broker [163] broker,dealers [163] dealers,options [163] options,short Top Word Pairs in Tweet in G3:
[299] #corpgov,togovern [84] yahoo,finance [80] finance,#corpgov [49] moody's,assigns [21] outlook,stable [21] stable,yahoo [15] business,wire [15] wire,#corpgov [14] times,#corpgov [13] board,directors Top Word Pairs in Tweet in G4:
[19] gobierno,corporativo [16] corporativo,ongs [16] ongs,panamá [16] panamá,realidad [16] realidad,vs [16] vs,deber [16] gobernanza,conflicto [16] conflicto,interés [16] interés,rendición [14] igc_panama,gobierno Top Word Pairs in Tweet in G5:
[216] martinhoyes,#hrtech [214] #csr,#corpgov [200] learn,try [179] #corpgov,#aml [179] #aml,#crypto [179] #crypto,#finserv [179] #finserv,#wef [179] #wef,#datagovernance [176] #datagovernance,#futureofwork [176] #futureofwork,#insurtech Top Word Pairs in Tweet in G6:
[55] harvardcorpgov,posted [28] #corpgov,#esg [20] board,responsibility [20] responsibility,artificial [20] artificial,intelligence [20] intelligence,oversight [15] #esg,#boardofdirectors [13] 2022,#corpgov [13] oversight,harvardcorpgov [13] #corpgov,#corporategovernance Top Word Pairs in Tweet in G7:
[7] great,see [7] see,vanguard_group [7] vanguard_group,finally [7] finally,taking [7] taking,first [7] first,step [7] step,act [7] act,net [7] net,zero [7] zero,emissions Top Word Pairs in Tweet in G8:
[9] #empathy,#bettertogether [7] covid,19 [6] #corpgov,#esg [6] #health,#healthcare [6] office,occupancy [6] occupancy,rates [6] rates,still [6] still,far [6] far,normal [6] normal,charges Top Word Pairs in Tweet in G9:
[5] #governance,#corpgov [5] #grc,#risk [5] #risk,#regulation [5] #regulation,#compliance [4] #moneylaundering,#financialcrime [4] #compliance,#governance [3] #aml,#kyc [3] #kyc,#moneylaundering [3] #financialcrime,#grc [3] money,laundering Top Word Pairs in Tweet in G10:
[22] #esg,#corpgov [11] #corpgov,#susty [9] #proxyseason,#esg [5] #susty,#netzero [5] #netzero,#climateaction [5] heads,companies [5] companies,being [5] being,sent [5] sent,letters [5] letters,demanding Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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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: