disastertech, Twitter, 7/30/2022 10:19:25 PM, 279757


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disastertech_2022-07-30_14-04-49.xlsx
disastertech_2022-07-30_14-04-49.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 30, 2022
Short Description:
disastertech via NodeXL https://bit.ly/3oFLXkO
@disastertechinc
@disastertechlab
@roger_colemanny
@iramey
@theevertbopp
@katherleman
@ktkzergs
@bcorporation

Top hashtags:
#disastertech
#emgtwitter
#ukraine
#wifi
#info
#refugee
#slavaukraini
#bcorporation
#demo
#dice

Description:
Description
The graph represents a network of 8 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, 30 July 2022 at 21:04 UTC.

The requested start date was Saturday, 30 July 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 8-day, 17-hour, 18-minute period from Tuesday, 19 July 2022 at 16:13 UTC to Thursday, 28 July 2022 at 09:31 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 : 8
Unique Edges : 3
Edges With Duplicates : 22
Total Edges : 25
Number of Edge Types : 4
Retweet : 8
MentionsInRetweet : 8
Tweet : 8
Mentions : 1
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 4
Maximum Edges in a Connected Component : 19
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1
Graph Density : 0.0892857142857143
Modularity : 0.23
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8 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, 30 July 2022 at 21:04 UTC.

The requested start date was Saturday, 30 July 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 8-day, 17-hour, 18-minute period from Tuesday, 19 July 2022 at 16:13 UTC to Thursday, 28 July 2022 at 09:31 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 Domains
Top Domains in Tweet in Entire Graph:
[4] disastertech.com
[1] disastertechlab.org
[1] bcorporation.net

Top Domains in Tweet in G1:
[4] disastertech.com
[1] bcorporation.net

Top Domains in Tweet in G2:
[1] disastertechlab.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[6] disastertech
[6] emgtwitter
[1] ukraine
[1] wifi
[1] info
[1] refugee
[1] slavaukraini
[1] bcorporation
[1] demo
[1] dice



Top Hashtags in Tweet in G1:
[6] emgtwitter
[5] disastertech
[1] bcorporation
[1] nhsc2022
[1] cleanpacific
[1] ausa
[1] cleangulf
[1] iaem
[1] nationalhireaveteranday
[1] hireveterans

Top Hashtags in Tweet in G2:
[1] ukraine
[1] wifi
[1] info
[1] refugee
[1] slavaukraini
[1] disastertech

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