The graph represents a network of 9,295 Twitter users whose recent tweets contained "#M4A", 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, 03 November 2019 at 01:16 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 34-minute period from Thursday, 24 October 2019 at 22:20 UTC to Sunday, 03 November 2019 at 00:54 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 : 9295
Unique Edges : 18461
Edges With Duplicates : 4690
Total Edges : 23151
Self-Loops : 1404
Reciprocated Vertex Pair Ratio : 0.00739691532892666
Reciprocated Edge Ratio : 0.0146852054366505
Connected Components : 516
Single-Vertex Connected Components : 327
Maximum Vertices in a Connected Component : 8410
Maximum Edges in a Connected Component : 22207
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.127326
Graph Density : 0.00022228851250056
Modularity : 0.548461
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 9,295 Twitter users whose recent tweets contained "#M4A", 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, 03 November 2019 at 01:16 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 34-minute period from Thursday, 24 October 2019 at 22:20 UTC to Sunday, 03 November 2019 at 00:54 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 : #M4A
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1760] health,insurance [1401] tax,cut [1376] universal,health [1373] vast,majority [1371] insurance,through [1370] through,taxes [1368] lead,large [1368] large,tax [1368] cut,vast [1367] funding,universal Top Word Pairs in Tweet in G1:
[680] #m4a,plan [562] put,out [559] plan,ewarren [559] out,proves [559] proves,once [559] very,very [558] once,progressive [558] progressive,proves [558] argue,against [557] ewarren,put Top Word Pairs in Tweet in G2:
[324] don,t [316] support,#medicareforall [294] warren,s [284] s,plan [275] under,warren [274] time,#medicareforall [274] #medicareforall,under [274] plan,many [274] many,regular [274] regular,#medicare Top Word Pairs in Tweet in G3:
[1152] health,insurance [1151] uc,berkeley [1151] berkeley,economic [1151] economic,professors [1151] professors,e [1151] e,saez [1151] saez,g [1151] g,zucman [1151] zucman,supporters [1151] supporters,medicare Top Word Pairs in Tweet in G4:
[144] #m4a,plan [116] raising,taxes [100] isn,t [93] taxes,working [93] working,class [92] oh,snap [92] snap,#m4a [92] #m4a,w [92] w,raising [92] class,cutting Top Word Pairs in Tweet in G5:
[76] private,insurance [45] #yanggang,#yang2020 [41] jobs,overnight [35] #m4a,w [35] poverty,gateway [35] gateway,drug [34] #m4a,#notmeus [34] #bernie2020,#medicareforall [34] spoke,medical [34] medical,director Top Word Pairs in Tweet in G6:
[118] joebiden,working [118] working,families [118] families,see [118] see,taxes [118] taxes,jump [118] jump,5 [118] 5,000 [118] 000,under [118] under,medicare [118] medicare,dodgy Top Word Pairs in Tweet in G7:
[236] sales,tax [220] 1,400 [141] #m4a,#bernie2020 [126] pay,#m4a [120] plan,warren [119] healthcare,plan [118] months,campaigning [118] campaigning,w [118] w,healthcare [118] warren,increase Top Word Pairs in Tweet in G8:
[21] #medicareforall,#m4a [18] #m4a,#medicareforall [16] until,s [13] health,insurance [12] #m4a,#bernie2020 [11] health,care [11] pay,#m4a [11] #m4a,plan [11] 000,000 [8] #m4a,#medicare4all Top Word Pairs in Tweet in G9:
[231] bernie,sanders [230] #m4a,#bernie2020 [228] message,#m4a [226] one,many [226] many,things [226] things,love [226] love,bernie [226] sanders,always [226] always,stays [226] stays,message Top Word Pairs in Tweet in G10:
[55] middle,class [31] class,taxes [27] 000,000 [25] #m4a,plan [16] fund,#m4a [16] tax,increase [16] hard,#m4a [16] plan,overwhelm [16] overwhelm,middle [16] taxes,balancing Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: