ImpactMapper, Twitter, 11/1/2023 2:37:38 PM, 292888


FAQ | Problem?

ImpactMapper Twitter NodeXL SNA Map and Report for Wednesday, 01 November 2023 at 14:37 UTC
ImpactMapper Twitter NodeXL SNA Map and Report for Wednesday, 01 November 2023 at 14:37 UTC
From:
marc_smith
Uploaded on:
November 01, 2023
Short Description:
ImpactMapper via NodeXL https://bit.ly/46U02Qm
@impactmapper
@africaalbinism
@kevin_jackson
@realgoodcenter
@tonikagj
@africanalbinism
@raceequityindex
@hackercivic
@icrw
@youtube

Top hashtags:
#data
#socialimpact
#genderequality
#voteforimpactmapper
#socialjustice

Description:
Description
The graph represents a network of 12 Twitter users whose recent tweets contained "ImpactMapper", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 30,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 11/1/2023 7:37:08 AM. The network was obtained from Twitter on Wednesday, 01 November 2023 at 14:37 UTC.

The tweets in the network were tweeted over the 299-day, 17-hour, 36-minute period from Thursday, 05 January 2023 at 14:00 UTC to Wednesday, 01 November 2023 at 07:37 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

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


Overall Graph Metrics
Vertices : 12
Unique Edges : 7
Edges With Duplicates : 28
Total Edges : 35
Number of Edge Types : 3
Mentions : 17
Replies to : 2
Tweet : 16
Self-Loops : 19
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 11
Maximum Edges in a Connected Component : 31
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.901639
Graph Density : 0.0757575757575758
Modularity : 0.220204
NodeXL Version : 1.0.1.523
Data Import : The graph represents a network of 12 Twitter users whose recent tweets contained "ImpactMapper", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 30,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 11/1/2023 7:37:08 AM. The network was obtained from Twitter on Wednesday, 01 November 2023 at 14:37 UTC.

The tweets in the network were tweeted over the 299-day, 17-hour, 36-minute period from Thursday, 05 January 2023 at 14:00 UTC to Wednesday, 01 November 2023 at 07:37 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : ImpactMapper
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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[3] https://bit.ly/3MV9L1r
[2] http://bit.ly/3VlGPBn#SDGs
[2] https://civic-hackers.org/resources/turning-data-into-stories-for-change-civic-hacker-podcast-season-2-episode-4-2/
[2] https://bit.ly/sustainabilityofimpact
[1] http://bit.ly/3MV9L1r
[1] https://bit.ly/3Xzopgx
[1] http://bit.ly/3XyxzKk
[1] http://bit.ly/3IgckHM
[1] https://www.youtube.com/c/KevinLJackson/videos
[1] https://soc.gcglobalnet.com/Update

Top URLs in Tweet in G1:
[2] https://bit.ly/sustainabilityofimpact
[2] http://bit.ly/3VlGPBn#SDGs
[1] https://bit.ly/3Xzopgx
[1] http://bit.ly/3XyxzKk
[1] http://bit.ly/3IgckHM
[1] https://mailchi.mp/e7ecfe99da62/updates-from-impactmapper-5795905
[1] https://bit.ly/ImpactMapperDemos
[1] https://bit.ly/SusOfImpact
[1] http://bit.ly/40DnzBJ
[1] https://africaalbinismnetwork.org/blog/survey-report-human-rights-and-advocacy-priorities-strategies-of-organizations-supporting-people-with-albinism-in-africa/

Top URLs in Tweet in G2:
[3] https://bit.ly/3MV9L1r
[1] http://bit.ly/3MV9L1r

Top URLs in Tweet in G3:
[1] https://www.youtube.com/c/KevinLJackson/videos
[1] https://soc.gcglobalnet.com/App_Google
[1] https://soc.gcglobalnet.com/Update

Top URLs in Tweet in G4:
[2] https://civic-hackers.org/resources/turning-data-into-stories-for-change-civic-hacker-podcast-season-2-episode-4-2/
[1] https://anchor.fm/civichackerpodcast/episodes/Turning-Stories-Into-Data-for-Change-e1f539g
[1] https://civic-hackers.org/resources/turning-data-into-stories-for-change-civic-hacker-podcast-season-2-episode-4/

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[5] data
[3] socialimpact
[3] genderequality
[2] voteforimpactmapper
[2] socialjustice
[2] sdgs
[2] research
[2] techforgood
[2] digitall
[2] csw67



Top Hashtags in Tweet in G1:
[3] genderequality
[3] socialimpact
[2] digitall
[2] csw67
[2] socialjustice
[2] techforgood
[2] research
[2] sdgs
[2] voteforimpactmapper
[1] data

Top Hashtags in Tweet in G4:
[4] data

Top Words
Top Word Pairs
Top Replied-To
Top Replied-To in Entire Graph:
@impactmapper

Top Replied-To in G3:
@impactmapper

Top Mentioned
Top Tweeters

Tags: