The graph represents a network of 227 Twitter users whose recent tweets contained "#nws", 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 Wednesday, 06 May 2020 at 17:55 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 56-minute period from Tuesday, 28 April 2020 at 08:52 UTC to Wednesday, 06 May 2020 at 16:48 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
Vertices : 227
Unique Edges : 206
Edges With Duplicates : 210
Total Edges : 416
Number of Edge Types : 5
Tweet : 140
Retweet : 174
Mentions : 60
Replies to : 19
MentionsInRetweet : 23
Self-Loops : 151
Reciprocated Vertex Pair Ratio : 0.0102564102564103
Reciprocated Edge Ratio : 0.0203045685279188
Connected Components : 56
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 64
Maximum Edges in a Connected Component : 93
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.855652
Graph Density : 0.00384000623757358
Modularity : 0.481567
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 227 Twitter users whose recent tweets contained "#nws", 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 Wednesday, 06 May 2020 at 17:55 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 56-minute period from Tuesday, 28 April 2020 at 08:52 UTC to Wednesday, 06 May 2020 at 16:48 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 : #nws
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[92] #ohwx,#pawx [73] #noaa,#nws [60] below,average [53] #pawx,#nws [51] #weatherbug,#knowbefore [51] #knowbefore,#wx [51] #wx,#weather [42] over,past [40] satellite,loop [38] #severestorms,#stormtrackers Top Word Pairs in Tweet in G1:
[92] #ohwx,#pawx [60] below,average [53] #pawx,#nws [42] over,past [37] 2019,2020 [37] #nws,#clewx [35] #thisiscle,#nws [30] #nws,#weather [27] #weather,#ready [25] #pawx,#thisiscle Top Word Pairs in Tweet in G2:
[27] forecast,#nws [27] #nws,#openapi [21] #nws,issued [21] issued,#alert [21] #alert,adams [21] adams,county [21] issued,april [21] edt,nws [20] #noaa,#nws [20] county,flood Top Word Pairs in Tweet in G3:
[51] #weatherbug,#knowbefore [51] #knowbefore,#wx [51] #wx,#weather [51] #noaa,#nws [38] #severestorms,#stormtrackers [38] #mysteriousnature,#mothernature [38] #mothernature,#amazingearth [36] #nws,#storm [36] #storm,#severestorms [27] #forceofnature,#extremeweather Top Word Pairs in Tweet in G4:
[40] satellite,loop [20] impressive,satellite [20] loop,earlier [20] earlier,tonight [20] tonight,showing [20] showing,numerous [20] numerous,severe [20] severe,thunderstorms [20] thunderstorms,over [20] over,south Top Word Pairs in Tweet in G5:
[6] live,living [6] living,room [4] kids,grades [4] grades,10 [4] 10,introduce [4] introduce,world [4] world,#classicalmusic [4] #classicalmusic,stream [4] stream,favorites [4] favorites,#americanmodernism Top Word Pairs in Tweet in G6:
[13] pelican,rapids [13] rapids,mn [11] mn,#nws [9] day,00 [9] 00,clear [6] lisagreenvnl,wxwithmarshall [6] yesterday,pelican [6] lydiablumewx,wdayweather [5] wxwithmarshall,hutchvnl [5] #970amwx,#stormtracker Top Word Pairs in Tweet in G8:
[3] thanks,gitlab [3] gitlab,always [3] always,good [3] good,overview [3] overview,odds [3] odds,ends [3] ends,#milestone [3] #milestone,#gitlab [3] #gitlab,#saas [3] #saas,#nws Top Word Pairs in Tweet in G9:
[3] important,meeting [3] meeting,eu_ungeneva [3] eu_ungeneva,highlighting [3] highlighting,efforts [3] efforts,#syria [3] #syria,women [3] women,support [3] support,communities [3] communities,amp [3] amp,prevent Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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:
Top Tweeters in G9:
Top Tweeters in G10: