The graph represents a network of 3,908 Twitter users whose recent tweets contained "ClueHeywood", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Wednesday, 04 December 2019 at 23:06 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 26-minute period from Monday, 02 December 2019 at 18:36 UTC to Wednesday, 04 December 2019 at 23:03 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 : 3908
Unique Edges : 4336
Edges With Duplicates : 2121
Total Edges : 6457
Self-Loops : 702
Reciprocated Vertex Pair Ratio : 0.0506946136972947
Reciprocated Edge Ratio : 0.0964973324054744
Connected Components : 663
Single-Vertex Connected Components : 473
Maximum Vertices in a Connected Component : 2357
Maximum Edges in a Connected Component : 4983
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.562085
Graph Density : 0.000282344970932418
Modularity : 0.516211
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,908 Twitter users whose recent tweets contained "ClueHeywood", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Wednesday, 04 December 2019 at 23:06 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 26-minute period from Monday, 02 December 2019 at 18:36 UTC to Wednesday, 04 December 2019 at 23:03 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 : ClueHeywood
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:
[1166] peloton,bike [611] hanging,out [573] vibe,check [565] class,s [565] s,hanging [562] imagine,passing [562] passing,class [562] out,literally [562] literally,failing [562] failing,vibe Top Word Pairs in Tweet in G1:
[988] peloton,bike [368] living,room [242] home,gym [204] half,gay [202] gay,husband [200] sometimes,ll [200] ll,move [200] move,peloton [200] bike,gallery [200] gallery,spend Top Word Pairs in Tweet in G2:
[562] imagine,passing [562] passing,class [562] class,s [562] s,hanging [562] hanging,out [562] out,literally [562] literally,failing [562] failing,vibe [562] vibe,check Top Word Pairs in Tweet in G3:
[12] best,thread [12] peloton,ad [9] hilarious,thread [8] thread,twitter [8] whole,thread [7] great,thread [6] important,thread [6] first,time [6] thread,hilarious [5] thread,time Top Word Pairs in Tweet in G4:
[37] clueheywood,onepeloton [37] onepeloton,arbys [22] clueheywood,todayshow [19] amazing,hat [17] millions,people [17] people,learned [17] learned,onepeloton [17] onepeloton,nothing [17] nothing,make [17] make,one Top Word Pairs in Tweet in G5:
[70] one,best [68] new,peloton [68] peloton,commercial [68] commercial,bad [68] bad,reminded [68] reminded,one [68] best,twitter [68] twitter,threads [68] threads,out [27] peloton,bike Top Word Pairs in Tweet in G6:
[62] thread,wryly [62] wryly,funny [62] funny,now [62] now,feel [62] feel,peloton [62] peloton,ads [62] ads,turning [62] turning,full [62] full,kidding [62] kidding,socialist Top Word Pairs in Tweet in G7:
[9] krystalevy,clueheywood [6] clueheywood,aligraysanatomy [6] davidanvil,krystalevy [4] collinbennett9,clueheywood [4] clueheywood,re [4] re,married [4] married,consuela [4] boyfriend,husband [4] clueheywood,think [3] cdubs271,clueheywood Top Word Pairs in Tweet in G8:
[42] entire,thread [42] thread,fantastic [4] peloton,bike [2] probably,worst [2] worst,thing [2] thing,putting [2] putting,peloton [2] bike,spotless [2] spotless,huge [2] huge,kitchen Top Word Pairs in Tweet in G9:
[16] peloton,bike [11] bessbell,hope [11] hope,seen [9] living,room [5] jusjohnson86,clueheywood [4] bessbell,clueheywood [4] put,peloton [3] trikeparty,clueheywood [3] skydiver1963,bessbell [3] putting,peloton Top Word Pairs in Tweet in G10:
[19] peloton,bike [10] living,room [5] jessphoenix2018,clueheywood [5] clueheywood,missing [5] missing,something [5] something,makes [5] makes,peloton [5] peloton,special [5] special,stationary [5] stationary,bike Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G4:
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Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G6:
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Top Tweeters in G10: