ahawatson, Twitter, 7/2/2022 10:58:12 PM, 278925


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ahawatson Twitter NodeXL SNA Map and Report for Monday, 06 June 2022 at 22:10 UTC
ahawatson Twitter NodeXL SNA Map and Report for Monday, 06 June 2022 at 22:10 UTC
From:
Smartkiwi
Uploaded on:
July 02, 2022
Short Description:
ahawatson via NodeXL https://bit.ly/3I7RI3X
@wsjp_insight

Top hashtags:
#tech
#pacific
#mobile
#phones
#rural
#solomonislands
#solomons
#sst
#internet
#globaldev

Description:
Description
The graph represents a network of 24 Twitter users whose recent tweets contained "ahawatson", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 06 June 2022 at 22:11 UTC.

The tweets in the network were tweeted over the 6-day, 3-hour, 30-minute period from Tuesday, 31 May 2022 at 01:42 UTC to Monday, 06 June 2022 at 05:13 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


Overall Graph Metrics
Vertices : 24
Unique Edges : 29
Edges With Duplicates : 16
Total Edges : 45
Number of Edge Types : 4
Mentions : 29
Replies to : 2
MentionsInRetweet : 12
Retweet : 2
Self-Loops : 1
Reciprocated Vertex Pair Ratio : 0.0285714285714286
Reciprocated Edge Ratio : 0.0555555555555556
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 24
Maximum Edges in a Connected Component : 45
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.128472
Graph Density : 0.0652173913043478
Modularity : 0.40358
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 24 Twitter users whose recent tweets contained "ahawatson", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 06 June 2022 at 22:11 UTC.

The tweets in the network were tweeted over the 6-day, 3-hour, 30-minute period from Tuesday, 31 May 2022 at 01:42 UTC to Monday, 06 June 2022 at 05:13 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 : TwitterSearch
Graph Term : ahawatson
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:
[2] https://www.um.edu.mt/library/oar/handle/123456789/94144
[2] http://ws-jp.co.jp/2021/10/15/world-24/
[1] https://www.internetsociety.org/policy-programs/igf-youth-ambassadors/
[1] https://twitter.com/internetsociety/status/1532759103461892097
[1] https://www.abc.net.au/news/2022-05-31/china-pushing-pacific-island-nations-regional-agreement/101112074
[1] https://twitter.com/DonorTracker/status/1448921743633141809
[1] https://twitter.com/CopernicusEMS/status/1447595358222229506
[1] https://twitter.com/T2mike/status/1448908902406529024
[1] https://twitter.com/RadioFreeAsia/status/1447727448016277512
[1] https://twitter.com/TheEconomist/status/1446581177171816450

Top URLs in Tweet in G1:
[1] https://www.internetsociety.org/policy-programs/igf-youth-ambassadors/
[1] https://twitter.com/internetsociety/status/1532759103461892097
[1] https://www.um.edu.mt/library/oar/handle/123456789/94144
[1] https://www.abc.net.au/news/2022-05-31/china-pushing-pacific-island-nations-regional-agreement/101112074

Top URLs in Tweet in G2:
[2] http://ws-jp.co.jp/2021/10/15/world-24/
[1] https://twitter.com/DonorTracker/status/1448921743633141809
[1] https://twitter.com/CopernicusEMS/status/1447595358222229506
[1] https://twitter.com/T2mike/status/1448908902406529024
[1] https://twitter.com/RadioFreeAsia/status/1447727448016277512
[1] https://twitter.com/TheEconomist/status/1446581177171816450
[1] https://twitter.com/JohnBlaxland1/status/1438847113765425159

Top URLs in Tweet in G3:
[1] https://www.um.edu.mt/library/oar/handle/123456789/94144

Top Domains
Top Domains in Tweet in Entire Graph:
[7] twitter.com
[2] edu.mt
[2] co.jp
[1] internetsociety.org
[1] net.au

Top Domains in Tweet in G1:
[1] internetsociety.org
[1] twitter.com
[1] edu.mt
[1] net.au

Top Domains in Tweet in G2:
[6] twitter.com
[2] co.jp

Top Domains in Tweet in G3:
[1] edu.mt

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[4] tech
[3] pacific
[2] mobile
[2] phones
[2] rural
[2] solomonislands
[2] solomons
[2] sst
[1] internet
[1] globaldev



Top Hashtags in Tweet in G1:
[3] tech
[2] pacific
[1] internet
[1] globaldev
[1] igf2022
[1] wearetheinternetsociety
[1] mobile
[1] phones
[1] rural
[1] solomonislands

Top Hashtags in Tweet in G3:
[1] mobile
[1] phones
[1] rural
[1] solomonislands
[1] solomons
[1] tech
[1] pacific
[1] sst

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

Top Replied-To in G1:

Top Replied-To in G3:

Top Mentioned
Top Mentioned in Entire Graph:

Top Mentioned in G1:

Top Mentioned in G2:

Top Mentioned in G3:

Top Tweeters
Top Tweeters in Entire Graph:
@wsjp_insight

Top Tweeters in G2:
@wsjp_insight


Tags:

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