The graph represents a network of 105 Twitter users whose recent tweets contained ""#QuirksNewYork"", 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 Monday, 08 November 2021 at 21:10 UTC.
The tweets in the network were tweeted over the 4-day, 10-hour, 30-minute period from Monday, 01 November 2021 at 11:18 UTC to Friday, 05 November 2021 at 21:49 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 : 105
Unique Edges : 108
Edges With Duplicates : 144
Total Edges : 252
Self-Loops : 50
Reciprocated Vertex Pair Ratio : 0.047244094488189
Reciprocated Edge Ratio : 0.0902255639097744
Connected Components : 14
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 86
Maximum Edges in a Connected Component : 221
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.709191
Graph Density : 0.0121794871794872
Modularity : 0.393011
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 105 Twitter users whose recent tweets contained ""#QuirksNewYork"", 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 Monday, 08 November 2021 at 21:10 UTC.
The tweets in the network were tweeted over the 4-day, 10-hour, 30-minute period from Monday, 01 November 2021 at 11:18 UTC to Friday, 05 November 2021 at 21:49 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 : "#QuirksNewYork"
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Relationship
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[38] new,york [22] #paradigmsample,#tellwut [17] #quirksnewyork,#quirksevent [17] #quirksevent,#quirksnewyork [16] booths,624 [15] #mrx,#marketresearch [14] 624,amp [14] amp,626 [12] #tellwut,#mrx [12] register,here Top Word Pairs in Tweet in G1:
[17] new,york [11] #quirksnewyork,#quirksevent [7] #mrx,#insights [5] #quirksevent,#mrx [4] believe,future [4] future,depends [4] #quirksevent,thank [4] #quirksevent,#quirksnewyork [4] quirksmr,event [4] event,marketing Top Word Pairs in Tweet in G2:
[5] #quirksevent,#quirksnewyork [4] new,york [3] quirksmr,#quirksnewyork [3] find,out [2] new,dates [2] dates,quirksmr [2] #quirksnewyork,2022 [2] 2022,announced [2] announced,watch [2] watch,video Top Word Pairs in Tweet in G3:
[22] #paradigmsample,#tellwut [16] booths,624 [14] 624,amp [14] amp,626 [12] #tellwut,#mrx [11] beats,pill [10] #mrx,#marketresearch [10] register,here [9] here,#paradigmsample [9] win,beats Top Word Pairs in Tweet in G4:
[4] #quirksevent,#quirksnewyork [4] #quirksevent,#quirksnyc [3] new,york [3] #quirksnyc,#quirksnewyork [3] #quirksnewyork,#quirksevent [3] #quirksnyc,#quirksevent [2] takes,stage [2] #quirksnewyork,starts [2] starts,tomorrow [2] tomorrow,fuel Top Word Pairs in Tweet in G5:
[6] new,york [3] learn,more [3] #quirksevent,#quirksnewyork [3] sure,hi [3] check,out [3] quirks,new [3] gabby,blados [3] blados,tony [3] tony,brown [3] brown,emi Top Word Pairs in Tweet in G6:
[7] #quirksnewyork,2021 [5] tifferjason,amp [5] amp,luke [5] luke,francis [5] quirksmr,#mrx [5] #mrx,#quirksevent [5] #quirksevent,#insightswithba [3] meet,tifferjason [3] francis,borderlessxs [3] borderlessxs,team Top Word Pairs in Tweet in G7:
[4] booth,510 [3] blackhawk,network [3] quirksmr,#quirksevent [3] #quirksevent,#mrx [2] missed,#quirksnewyork [2] #quirksnewyork,week [2] week,learn [2] learn,more [2] more,digital [2] digital,rewards Top Word Pairs in Tweet in G8:
[3] discover,clorox [3] clorox,leveraged [3] leveraged,dynata [3] dynata,s [3] s,knowledge [3] knowledge,sharing [3] sharing,solution [3] solution,help [3] help,break [3] break,down Top Word Pairs in Tweet in G9:
[3] great,time [3] time,quirk [3] quirk,s [3] s,new [3] new,york [3] york,team [3] team,enjoyed [3] enjoyed,reconnecting [3] reconnecting,industry [3] industry,colleagues Top Word Pairs in Tweet in G10:
[4] javits,center [4] team,today [2] #quirksnewyork,check [2] check,out [2] out,speaking [2] speaking,session [2] session,happening [2] happening,today [2] today,3 [2] 3,30pm Top Replied-To in Entire Graph:
Top Replied-To in G1:
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:
Top Tweeters in G9:
Top Tweeters in G10: