The graph represents a network of 14 Twitter users whose recent tweets contained "covid-19 symptoms safety measures", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Saturday, 27 June 2020 at 10:20 UTC.
The tweets in the network were tweeted over the 5-day, 22-hour, 25-minute period from Saturday, 20 June 2020 at 21:40 UTC to Friday, 26 June 2020 at 20:05 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.
Vertices : 14
Unique Edges : 14
Edges With Duplicates : 0
Total Edges : 14
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 4
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 8
Maximum Edges in a Connected Component : 8
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.358974
Graph Density : 0.0604395604395604
Modularity : 0.547194
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 14 Twitter users whose recent tweets contained "covid-19 symptoms safety measures", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Saturday, 27 June 2020 at 10:20 UTC.
The tweets in the network were tweeted over the 5-day, 22-hour, 25-minute period from Saturday, 20 June 2020 at 21:40 UTC to Friday, 26 June 2020 at 20:05 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 : covid-19 symptoms safety measures
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[13] covid,19 [8] situation,developed [8] developed,last [8] last,nights [8] nights,game [8] game,per [8] per,mba [8] mba,board [8] board,taking [8] taking,precautionary Top Word Pairs in Tweet in G1:
[8] situation,developed [8] developed,last [8] last,nights [8] nights,game [8] game,per [8] per,mba [8] mba,board [8] board,taking [8] taking,precautionary [8] precautionary,measures Top Word Pairs in Tweet in G2:
[2] report,aclu [2] aclu,urges [2] urges,regulators [2] regulators,skeptically [2] skeptically,scrutinize [2] scrutinize,mass [2] mass,use [2] use,thermal [2] thermal,screening [2] screening,devices Top Word Pairs in Tweet in G3:
[2] 2,2 [2] 2,fyi [2] fyi,few [2] few,safety [2] safety,measures [2] measures,masks [2] masks,required [2] required,interacting [2] interacting,w [2] w,staff Top Word Pairs in Tweet in G4:
[2] numerous,comprehensive [2] comprehensive,safety [2] safety,measures Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: