The graph represents a network of 1,193 Twitter users whose recent tweets contained "ny subway", 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 17:57 UTC.
The tweets in the network were tweeted over the 2-day, 16-hour, 18-minute period from Friday, 24 April 2020 at 01:26 UTC to Sunday, 26 April 2020 at 17:45 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 : 1201
Unique Edges : 1715
Edges With Duplicates : 8260
Total Edges : 9975
Number of Edge Types : 5
Replies to : 821
Mentions : 8187
Retweet : 598
Tweet : 289
MentionsInRetweet : 80
Self-Loops : 296
Reciprocated Vertex Pair Ratio : 0.101716738197425
Reciprocated Edge Ratio : 0.184651343981301
Connected Components : 164
Single-Vertex Connected Components : 39
Maximum Vertices in a Connected Component : 459
Maximum Edges in a Connected Component : 7139
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.327593
Graph Density : 0.00178115459339439
Modularity : 0.231722
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 1,193 Twitter users whose recent tweets contained "ny subway", 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 17:57 UTC.
The tweets in the network were tweeted over the 2-day, 16-hour, 18-minute period from Friday, 24 April 2020 at 01:26 UTC to Sunday, 26 April 2020 at 17:45 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 : ny subway
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:
[251] coronavirus,pandemic [248] ny,state [247] subway,conductors [246] conductors,trains [246] trains,filthier [246] amid,coronavirus [245] mta,subway [245] filthier,amid [243] nyc,more [243] cuomo,deblasio Top Word Pairs in Tweet in G1:
[238] cuomo,deblasio [238] deblasio,need [238] need,clean [238] clean,ny [238] ny,state [238] state,city [238] city,surprise [238] surprise,nyc [238] nyc,more [238] more,cases Top Word Pairs in Tweet in G2:
[82] subway,train [82] train,ny [82] ny,1970's [8] ny,subway [8] subway,robert [8] robert,herman [2] york,love Top Word Pairs in Tweet in G3:
[13] ny,subway [10] carsonpdixon,nycmayor [10] joshtpm,v2019n [9] nursing,homes [7] more,evidence [7] evidence,b'g [7] b'g,inside [7] inside,small [7] small,crowded [7] crowded,spaces Top Word Pairs in Tweet in G4:
[52] どこの国の人でも自分の事を他人に投影するから,ニューヨークのホームレスの家になって不潔な [52] ニューヨークのホームレスの家になって不潔な,subway [52] subway,を直訳して東京の [52] を直訳して東京の,地下鉄 [52] 地下鉄,と同じモノだと勘違いして [52] と同じモノだと勘違いして,東京は2週間後nyになる [52] 東京は2週間後nyになる,とか言っちゃうのは仕方がない面がある [52] とか言っちゃうのは仕方がない面がある,でも両方知ってるはずの出羽守 [43] 出羽守が情報発信する時,本来は [43] 本来は,直接体験した人が直訳では分からない事を伝えるから価値がある Top Word Pairs in Tweet in G5:
[146] factsnotficti10,emilybanting1 [146] nallison89,annie26056655 [146] annie26056655,vb02md [146] vb02md,skeletonmanb [146] sclibearian,forteophelia [146] forteophelia,feministleaning [146] feministleaning,alcottmills [146] cave_art_films,bungo20816364 [146] quetiapina1,dspidermanh [146] dspidermanh,theresadewa Top Word Pairs in Tweet in G6:
[31] presssec,realdonaldtrump [30] montyboa99,presssec [29] stevekoger,montyboa99 [27] mec21blue,stevekoger [26] kimberworld,realdonaldtrump [24] nostrastein,kimberworld [24] ritanobl,mec21blue [23] brandonbeckham_,nostrastein [22] insertgeekname,brandonbeckham_ [16] deanna4congress,barackobama Top Word Pairs in Tweet in G7:
[10] ny,subway [5] subway,system [3] nyc,subway [3] subway,still [2] subway,ny [2] ride,subway [2] amp,nyc [2] social,distancing [2] subway,shutdown [2] back,ny Top Word Pairs in Tweet in G8:
[39] #covid_19,rampant [39] rampant,nyc [39] nyc,front [39] front,line [39] line,transit [39] transit,workers [39] workers,048 [39] 048,cases [39] cases,covid [39] covid,19 Top Word Pairs in Tweet in G9:
[9] very,disturbed [9] disturbed,lunatic [9] lunatic,wandering [9] wandering,ny [9] ny,subway [9] subway,ranting [9] ranting,injecting [9] injecting,people [9] people,disinfectant [9] disinfectant,cure Top Word Pairs in Tweet in G10:
[4] social,distancing [4] homeysanders,thehill [4] hameturgeman,planefag [4] ny,subway [3] watch,thousands [3] thousands,gather [3] gather,without [3] without,social [3] distancing,protest [3] protest,wisconsin's Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
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: