The graph represents a network of 87 Twitter users whose recent tweets contained "disastertech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 22:05 UTC.
The tweets in the network were tweeted over the 297-day, 22-hour, 45-minute period from Monday, 25 April 2022 at 17:21 UTC to Friday, 17 February 2023 at 16:07 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
Vertices : 87
Unique Edges : 54
Edges With Duplicates : 557
Total Edges : 611
Number of Edge Types : 5
Mentions : 69
Retweet : 157
MentionsInRetweet : 193
Quote : 1
Tweet : 191
Self-Loops : 216
Reciprocated Vertex Pair Ratio : 0.0306122448979592
Reciprocated Edge Ratio : 0.0594059405940594
Connected Components : 12
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 41
Maximum Edges in a Connected Component : 517
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.851193
Graph Density : 0.0134990644212777
Modularity : 0.159707
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 87 Twitter users whose recent tweets contained "disastertech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 22:05 UTC.
The tweets in the network were tweeted over the 297-day, 22-hour, 45-minute period from Monday, 25 April 2022 at 17:21 UTC to Friday, 17 February 2023 at 16:07 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 : TwitterSearch2
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[110] learn,more [67] disaster,tech [57] visit,#disastertech [49] head,over [44] more,visit [35] epic,ready [33] #disastertech,#emgtwitter [17] more,disaster [17] #disastertech,#epicready [14] over,booth Top Word Pairs in Tweet in G1:
[110] learn,more [61] disaster,tech [57] visit,#disastertech [49] head,over [44] more,visit [35] epic,ready [33] #disastertech,#emgtwitter [17] more,disaster [17] #disastertech,#epicready [14] over,booth Top Word Pairs in Tweet in G2:
[11] #disastertech,#teamdtl [6] communication,services [6] services,organisations [6] provide,sorts [6] organisations,communities [6] affected,disasters [6] disaster,tech [6] sorts,communication [6] tech,lab [6] communities,affected Top Word Pairs in Tweet in G3:
[6] safe,steps [6] support,technology [6] awards,support [6] prudentialplc,launches [6] launches,safe [6] foundation,prudentialplc [6] steps,tech [6] ifrc,prudence [6] technology,solutions [6] tech,awards Top Word Pairs in Tweet in G4:
[5] tool,truly [5] position,themselves [5] make,use [5] becomes,effective [5] easily,make [5] effective,communities [5] use,position [5] truly,becomes [5] tech,tool [5] themselves,advocates Top Word Pairs in Tweet in G8:
[2] #techsoupblog,#nptech [2] servers,during [2] internet,blackouts' [2] read,'using [2] 'using,whatsapp [2] during,internet [2] proxy,servers [2] blackouts',#techsoupblog [2] whatsapp,proxy Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8: