The graph represents a network of 2,675 Twitter users whose tweets in the requested range contained "soda tax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 24 April 2019 at 20:21 UTC.
The requested start date was Tuesday, 23 April 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 59-minute period from Tuesday, 09 April 2019 at 00:01 UTC to Tuesday, 23 April 2019 at 00:00 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 : 2675
Unique Edges : 2825
Edges With Duplicates : 249
Total Edges : 3074
Number of Edge Types : 3
Tweet : 758
Mentions : 2065
Replies to : 251
Self-Loops : 758
Reciprocated Vertex Pair Ratio : 0.00534045393858478
Reciprocated Edge Ratio : 0.0106241699867198
Connected Components : 723
Single-Vertex Connected Components : 477
Maximum Vertices in a Connected Component : 1241
Maximum Edges in a Connected Component : 1628
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.89879
Graph Density : 0.000315813755163953
Modularity : 0.804517
NodeXL Version : 1.0.1.411
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[801] tax,soda [728] soda,tires [723] pain,pills [712] tires,guns [712] guns,water [707] pills,lawyers [706] water,pain [703] car,batteries [699] lawyers,car [641] sacramento,tax Top Word Pairs in Tweet in G1:
[190] tax,soda [181] soda,tires [179] car,batteries [178] tires,guns [178] guns,water [178] pain,pills [177] pills,lawyers [176] water,pain [175] lawyers,car [161] soda,tax Top Word Pairs in Tweet in G2:
[124] #california,progressives [124] progressives,drawing [124] drawing,tired [124] tired,failed [124] failed,liberal [124] liberal,playbook [124] playbook,moves [124] moves,tax [124] tax,keeps [124] keeps,moving Top Word Pairs in Tweet in G3:
[112] sacramento,tax [112] tax,soda [112] soda,tires [112] tires,guns [112] guns,water [112] water,pain [112] pain,pills [112] pills,lawyers [112] lawyers,car [112] car,batteries Top Word Pairs in Tweet in G4:
[88] pain,pills [87] tax,soda [86] pills,lawyers [75] sacramento,tax [75] soda,tires [75] tires,guns [75] guns,water [75] water,pain [75] lawyers,car [75] car,batteries Top Word Pairs in Tweet in G5:
[55] car,batteries [54] sacramento,tax [54] tax,soda [54] soda,tires [54] tires,guns [54] guns,water [54] water,pain [54] pain,pills [54] pills,lawyers [54] lawyers,car Top Word Pairs in Tweet in G6:
[58] tax,tax [40] highest,#gastax [40] #gastax,nation [40] nation,majority [40] majority,party [40] party,gone [40] gone,far [40] far,taxing [40] taxing,air [40] air,now Top Word Pairs in Tweet in G7:
[34] black,panther [27] tax,tax [26] soda,tax [23] california,soda [22] block,california [22] soda,taxes [22] taxes,companies [22] companies,paid [22] paid,black [22] panther,tickets Top Word Pairs in Tweet in G8:
[78] sacramento,tax [78] tax,soda [78] soda,tires [78] tires,guns [78] guns,water [78] water,pain [78] pain,pills [78] pills,lawyers [78] lawyers,car [78] car,batteries Top Word Pairs in Tweet in G9:
[73] california's,politicians [73] politicians,want [73] want,money [73] money,find [73] find,hard [73] hard,smile [73] smile,tax [73] tax,lawyers [73] lawyers,#taxday [72] johnstossel,california's Top Word Pairs in Tweet in G10:
[44] soda,tax [11] acme,provided [11] provided,evidence [11] evidence,soda [11] tax,damaging [11] damaging,sales [11] sales,even [9] even,city [8] phillymayor,leave [8] leave,right Top Replied-To in Entire Graph:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: