The graph represents a network of 151 Twitter users whose recent tweets contained "#Redistricting", 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 Saturday, 28 December 2019 at 22:00 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 1-minute period from Friday, 20 December 2019 at 18:32 UTC to Saturday, 28 December 2019 at 16:33 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 : 151
Unique Edges : 181
Edges With Duplicates : 43
Total Edges : 224
Number of Edge Types : 5
Retweet : 49
Replies to : 25
MentionsInRetweet : 75
Mentions : 46
Tweet : 29
Self-Loops : 33
Reciprocated Vertex Pair Ratio : 0,0171428571428571
Reciprocated Edge Ratio : 0,0337078651685393
Connected Components : 19
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 74
Maximum Edges in a Connected Component : 132
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3,094358
Graph Density : 0,00785871964679912
Modularity : 0,70586
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 151 Twitter users whose recent tweets contained "#Redistricting", 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 Saturday, 28 December 2019 at 22:00 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 1-minute period from Friday, 20 December 2019 at 18:32 UTC to Saturday, 28 December 2019 at 16:33 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 : #Redistricting
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[24] house,first [24] first,reached [24] reached,current [24] current,size [24] size,each [24] each,member [24] member,represented [24] represented,average [24] average,211 [24] 211,000 Top Word Pairs in Tweet in G1:
[24] house,first [24] first,reached [24] reached,current [24] current,size [24] size,each [24] each,member [24] member,represented [24] represented,average [24] average,211 [24] 211,000 Top Word Pairs in Tweet in G2:
[12] both,national [12] national,parties [12] parties,pouring [12] pouring,millions [12] millions,pa [12] pa,house [12] house,amp [12] amp,senate [12] senate,races [12] races,2020 Top Word Pairs in Tweet in G3:
[8] battlefield,states [7] politicalintent,stop [7] stop,bogus [7] bogus,#redistricting [7] #redistricting,initiative [7] initiative,called [7] called,allontheline [7] allontheline,flooding [7] flooding,districts [7] districts,illegals Top Word Pairs in Tweet in G4:
[8] hold,power [4] lenny_mendonca,commoncause [4] commoncause,nv [4] nv,amp [4] amp,next [4] next,states [4] states,adopt [4] adopt,#redistricting [4] #redistricting,reforms [4] reforms,re Top Word Pairs in Tweet in G5:
[7] 366,more [7] more,days [7] days,until [7] until,christmas [7] christmas,list [7] list,next [7] next,year [7] year,flipthetxhouse [7] flipthetxhouse,red [7] red,blue Top Word Pairs in Tweet in G7:
[5] virginia,deep [5] deep,blue [5] blue,left [5] left,wing [5] wing,judges [5] judges,picked [5] picked,redistricting [5] redistricting,map [5] map,supported [5] supported,democratic Top Word Pairs in Tweet in G8:
[4] state,legislatures [4] legislatures,dlcc [4] dlcc,targeting [4] targeting,2020 [4] 2020,well [4] well,many [4] many,seats [4] seats,party [4] party,needs [4] needs,flip Top Word Pairs in Tweet in G9:
[5] self,evidently [5] evidently,rigged [5] rigged,sarasota [5] sarasota,county's [5] county's,electoral [5] electoral,machine [5] machine,#redistricting [5] #redistricting,#protest [5] #protest,#citizensfordistrictpower [5] #citizensfordistrictpower,#criticaltimes Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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