The graph represents a network of 714 Twitter users whose recent tweets contained "#MTA", 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 Sunday, 26 April 2020 at 17:03 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 37-minute period from Sunday, 19 April 2020 at 01:12 UTC to Sunday, 26 April 2020 at 16:50 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 : 714
Unique Edges : 900
Edges With Duplicates : 926
Total Edges : 1826
Number of Edge Types : 5
MentionsInRetweet : 192
Mentions : 291
Retweet : 348
Replies to : 82
Tweet : 913
Self-Loops : 927
Reciprocated Vertex Pair Ratio : 0.0100125156445557
Reciprocated Edge Ratio : 0.0198265179677819
Connected Components : 181
Single-Vertex Connected Components : 105
Maximum Vertices in a Connected Component : 235
Maximum Edges in a Connected Component : 518
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.246937
Graph Density : 0.00158520631253904
Modularity : 0.452341
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 714 Twitter users whose recent tweets contained "#MTA", 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 Sunday, 26 April 2020 at 17:03 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 37-minute period from Sunday, 19 April 2020 at 01:12 UTC to Sunday, 26 April 2020 at 16:50 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 : #MTA
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:
[325] #nyc,#mta [182] #newyork,#transit [182] #transit,#nyc [111] essential,service [99] trains,running [81] minutes,between [75] #mta,#mtamood [68] planned,work [66] running,approximately [64] #ntrain,#qtrain Top Word Pairs in Tweet in G1:
[111] essential,service [99] trains,running [81] minutes,between [68] planned,work [66] running,approximately [62] #ntrain,#qtrain [62] #qtrain,#rtrain [62] #rtrain,#wtrain [62] board,exit [62] exit,trains Top Word Pairs in Tweet in G2:
[8] transit,system [7] don,care [6] nycmayor,don [6] more,cops [6] cops,transit [5] nygovcuomo,nycmayor [5] #governorandrewcuomo,nycmayor [5] never,clean [4] #mta,#nyc [4] times,square Top Word Pairs in Tweet in G3:
[11] nyctsubway,nyctbus [10] workers,died [10] died,during [7] #mta,workers [6] hazard,pay [6] transit,workers [6] #mta,#covid19 [6] names,83 [6] 83,#mta [6] during,#coronavirus Top Word Pairs in Tweet in G4:
[11] #nyc,#mta [9] #guardianangels,#daretocare [9] #daretocare,#curtissliwa [7] unspoken,cost [7] cost,#covid [7] #covid,amp [7] amp,subsequent [7] subsequent,#lockdown [7] #lockdown,#nyc [7] #nyc,gov Top Word Pairs in Tweet in G5:
[6] mta,nyctsubway [5] nyctsubway,#happyfriday [5] #happyfriday,#workfromhome [5] #workfromhome,#stayhome [5] #stayhome,#stopthespread [5] #stopthespread,#thankyou [5] #thankyou,#mta [5] song,titled [5] titled,#seesomethingsaysomething [5] canadian,rapper Top Word Pairs in Tweet in G6:
[47] #mtai,#mta [47] #mta,#mtafrancais [47] #mtafrancais,#islam [38] #islam,#ahmadiyya [34] l'intégralité,vidéo [34] vidéo,disponible [34] disponible,notre [34] notre,chaîne [28] chaîne,#mtai [12] children,ahmadiyya Top Word Pairs in Tweet in G7:
[31] please,help [30] co,workers [30] masks,january [30] workers,died [30] died,before [30] #nyc,#mta [29] asked,masks [29] january,january [29] january,50 [29] 50,co Top Word Pairs in Tweet in G8:
[26] ventilators,used [26] used,make [26] make,parts [26] parts,#mta [26] #mta,subway [26] subway,cars [26] cars,charles [26] charles,boyce [26] boyce,factory [26] factory,manufacturing Top Word Pairs in Tweet in G9:
[6] never,grandma [6] grandma,protecting [6] protecting,#nursinghomes [6] #nursinghomes,protecting [6] protecting,#mta [6] #mta,commuters [6] commuters,protecting [6] protecting,business [6] business,owners [6] owners,#workingclass Top Word Pairs in Tweet in G10:
[13] transit,workers [13] rank,file [13] file,committees [9] 29,transport [9] transport,workers [9] workers,#london [9] #london,died [9] died,#covid19 [9] #covid19,york [9] york,over Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G8:
Top Mentioned in G9:
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: