The graph represents a network of 17,397 Twitter users whose recent tweets contained "newsom", 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 Tuesday, 17 March 2020 at 04:51 UTC.
The tweets in the network were tweeted over the 1-day, 3-hour, 57-minute period from Monday, 16 March 2020 at 00:24 UTC to Tuesday, 17 March 2020 at 04:21 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 : 17553
Unique Edges : 22162
Edges With Duplicates : 67626
Total Edges : 89788
Number of Edge Types : 5
Mentions : 65038
Replies to : 5560
Tweet : 3919
Retweet : 10231
MentionsInRetweet : 5040
Self-Loops : 3977
Reciprocated Vertex Pair Ratio : 0.101340816962894
Reciprocated Edge Ratio : 0.184031710079275
Connected Components : 1919
Single-Vertex Connected Components : 1061
Maximum Vertices in a Connected Component : 13534
Maximum Edges in a Connected Component : 76350
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.954172
Graph Density : 9.17133841454564E-05
Modularity : 0.281703
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 17,397 Twitter users whose recent tweets contained "newsom", 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 Tuesday, 17 March 2020 at 04:51 UTC.
The tweets in the network were tweeted over the 1-day, 3-hour, 57-minute period from Monday, 16 March 2020 at 00:24 UTC to Tuesday, 17 March 2020 at 04:21 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 : newsom
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[6290] gavin,newsom [2869] gov,newsom [2344] governor,newsom [2267] governor,gavin [2182] executive,order [1974] gov,gavin [1972] utility,shutoffs [1961] california,governor [1792] home,isolation [1734] newsom,former Top Word Pairs in Tweet in G1:
[1216] executive,order [1149] utility,shutoffs [1147] local,governments [1147] halt,evictions [1144] evictions,slow [1144] slow,foreclosures [876] governor,gavinnewsom [834] newsom,former [834] former,boss [754] california,governor Top Word Pairs in Tweet in G2:
[780] gavin,newsom [612] realdonaldtrump,help [611] pat,tell [611] tell,much [611] much,means [611] means,kind [611] kind,words [611] words,move [611] move,tears [611] tears,look Top Word Pairs in Tweet in G3:
[676] governor,newsom [554] newsom,calls [519] gov,newsom [482] #breaking,gov [482] amid,#coronavirus [453] newsom,state [453] procuring,hotels [447] hotels,motels [446] 108,000 [444] motels,convert Top Word Pairs in Tweet in G4:
[484] gavin,newsom [282] governor,gavin [238] executive,order [179] governor,newsom [161] gov,gavin [144] halt,evictions [122] newsom,asked [118] california,legislature [117] newsom,issued [117] against,utility Top Word Pairs in Tweet in G5:
[927] gavin,newsom [544] gov,gavin [396] 65,older [340] bars,nightclubs [327] closure,bars [311] governor,gavin [274] those,chronic [243] stay,indoors [240] response,coronavirus [240] chronic,health Top Word Pairs in Tweet in G6:
[290] gavin,newsom [212] gov,newsom [117] gov,gavin [108] governor,newsom [101] newsom,calls [90] bars,close [78] home,isolation [72] california,gov [72] bars,wineries [72] stay,home Top Word Pairs in Tweet in G7:
[440] 000,homeless [321] gavin,newsom [244] hotels,motels [242] motels,house [223] gov,newsom [220] another,thing [220] thing,claims [220] claims,000 [220] homeless,need [220] need,housed Top Word Pairs in Tweet in G8:
[782] gavin,newsom [776] newsom,former [776] former,boss [754] home,isolation [753] governor,gavin [746] those,chronic [745] isolation,those [745] those,65 [744] older,those [744] chronic,conditions Top Word Pairs in Tweet in G9:
[227] executive,order [224] utility,shutoffs [219] foreclosures,utility [218] signs,executive [218] order,halting [218] halting,foreclosures [187] california,governor [164] governor,signs [143] gavin,newsom [112] state,california Top Word Pairs in Tweet in G10:
[301] gov,newsom [126] california,gov [119] self,isolate [113] isolate,home [108] gavin,newsom [107] newsom,bars [103] bars,nightclubs [100] coronavirus,response [100] senior,citizens [100] restaurants,decrease Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: