disastertech, Twitter, 3/19/2022 11:09:47 PM, 273279


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disastertech_2022-03-19_13-48-01.xlsx
disastertech_2022-03-19_13-48-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 19, 2022
Short Description:
disastertech via NodeXL https://bit.ly/3Jt3O7p
@disastertechinc
@foxrn1
@eventguidetoday
@cdt163
@roger_colemanny
@dannycrichton
@disastahguy
@raghda93967667
@techsoup
@satyajit1910

Top hashtags:
#disastertech
#emgtwitter
#internationalwomensday
#itsnotluck

Description:
Description
The graph represents a network of 11 Twitter users whose tweets in the requested range contained "disastertech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 19 March 2022 at 20:48 UTC.

The requested start date was Saturday, 19 March 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 11-day, 19-hour, 19-minute period from Sunday, 06 March 2022 at 23:34 UTC to Friday, 18 March 2022 at 18:54 UTC.

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 : 11
Unique Edges : 3
Edges With Duplicates : 47
Total Edges : 50
Number of Edge Types : 4
Retweet : 17
MentionsInRetweet : 17
Tweet : 15
Mentions : 1
Self-Loops : 16
Reciprocated Vertex Pair Ratio : 0.111111111111111
Reciprocated Edge Ratio : 0.2
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7
Maximum Edges in a Connected Component : 43
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.322034
Graph Density : 0.0909090909090909
Modularity : 0.1794
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11 Twitter users whose tweets in the requested range contained "disastertech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 19 March 2022 at 20:48 UTC.

The requested start date was Saturday, 19 March 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 11-day, 19-hour, 19-minute period from Sunday, 06 March 2022 at 23:34 UTC to Friday, 18 March 2022 at 18:54 UTC.

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 : disastertech
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://ready.gov/
[1] https://techcrunch.com/2021/05/01/the-most-disastrous-sales-cycle-in-the-world/
[1] https://twitter.com/edyong209/status/1504439897138073604
[1] https://aiforgood.itu.int/event/artificial-intelligence-for-natural-disaster-management/
[1] https://www.ready.gov/
[1] https://blog.disastertech.com/the-latest/qa-with-disaster-techs-senior-director-of-federal-programs-brandon-newton

Top URLs in Tweet in G1:
[2] https://ready.gov/
[1] https://blog.disastertech.com/the-latest/qa-with-disaster-techs-senior-director-of-federal-programs-brandon-newton
[1] https://www.ready.gov/

Top URLs in Tweet in G2:
[1] https://aiforgood.itu.int/event/artificial-intelligence-for-natural-disaster-management/

Top URLs in Tweet in G3:
[1] https://techcrunch.com/2021/05/01/the-most-disastrous-sales-cycle-in-the-world/
[1] https://twitter.com/edyong209/status/1504439897138073604

Top Domains
Top Domains in Tweet in Entire Graph:
[3] ready.gov
[1] techcrunch.com
[1] twitter.com
[1] itu.int
[1] disastertech.com

Top Domains in Tweet in G1:
[3] ready.gov
[1] disastertech.com

Top Domains in Tweet in G2:
[1] itu.int

Top Domains in Tweet in G3:
[1] techcrunch.com
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[20] disastertech
[15] emgtwitter
[4] internationalwomensday
[4] itsnotluck
[3] ourvision
[3] artificialintelligence
[2] onepaneofglass
[1] ai4good
[1] ai
[1] stpatricksday



Top Hashtags in Tweet in G1:
[19] disastertech
[15] emgtwitter
[4] internationalwomensday
[4] itsnotluck
[3] ourvision
[2] onepaneofglass
[1] ourmission
[1] nemamidyear
[1] nhc
[1] distributech

Top Hashtags in Tweet in G2:
[3] artificialintelligence
[1] disastertech
[1] ai4good
[1] ai

Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters

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