Tag Archives: Boardroom

CSIA Global Governance Voice Issue 31

CSIA (csiaorg.com) is a federation of 15 national professional bodies, representing over 100,000 corporate secretaries and governance professionals in more than

Source: CSIA Global Governance Voice Issue 31

Global Governance Voice – Issue 30 by The Corporate Secretaries International Association

CSIA (csiaorg.com) is a federation of 15 national professional bodies, representing over 100,000 corporate secretaries and governance professionals in more than

Source: CSIA Global Governance Voice Issue 30

Global Governance Voice – Issue 29 by The Corporate Secretaries International Association

Our quarterly E-magazine presents thought-leading articles and the latest news from CSIA member associations and stakeholders from around the world.

Source: Global Governance Voice | CSIA

Global Governance Voice Issue 28 by The Corporate Secretaries International Association

CSIA (csiaorg.com) is a federation of 15 national professional bodies, representing over 100,000 corporate secretaries and governance professionals in more than

Source: CSIA Global Governance Voice Issue 28

CSIA 2021 Annual Report | Corporate Secretaries International Association

Source: CSIA 2021 Annual Report | Corporate Secretaries International Association

CSIA Global Governance Voice Issue 27

CSIA (csiaorg.com) is a federation of 15 national professional bodies, representing over 100,000 corporate secretaries and governance professionals in more than

Source: CSIA Global Governance Voice Issue 27

corpgov_2022-06-04_20-21-35.xlsx

The graph represents a network of 1,322 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, 05 June 2022 at 03:26 UTC. The requested start date was Sunday, 05 June 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, 3-hour, 57-minute period from Sunday, 22 May 2022 at 03:47 UTC to Friday, 03 June 2022 at 07:45 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.

Source: corpgov_2022-06-04_20-21-35.xlsx