The graph represents a network of 17,745 Twitter users whose recent tweets contained "california fires", 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, 29 October 2019 at 09:40 UTC.
The tweets in the network were tweeted over the 8-hour, 25-minute period from Tuesday, 29 October 2019 at 00:23 UTC to Tuesday, 29 October 2019 at 08:48 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 : 17745
Unique Edges : 20530
Edges With Duplicates : 1110
Total Edges : 21640
Self-Loops : 1782
Reciprocated Vertex Pair Ratio : 0.00263022176379577
Reciprocated Edge Ratio : 0.00524664369116815
Connected Components : 1484
Single-Vertex Connected Components : 846
Maximum Vertices in a Connected Component : 14728
Maximum Edges in a Connected Component : 18459
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.820393
Graph Density : 6.17434749015522E-05
Modularity : 0.826832
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 17,745 Twitter users whose recent tweets contained "california fires", 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, 29 October 2019 at 09:40 UTC.
The tweets in the network were tweeted over the 8-hour, 25-minute period from Tuesday, 29 October 2019 at 00:23 UTC to Tuesday, 29 October 2019 at 08:48 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 : california fires
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:
[4354] fires,california [3131] devastating,fires [3087] united,states [3076] hasn,t [3073] lost,everything [3069] people,lost [3068] california,people [3066] president,united [3065] fire,president [3065] president,hasn Top Word Pairs in Tweet in G1:
[2728] fires,california [2705] devastating,fires [2704] hasn,t [2703] president,hasn [2703] t,word [2702] president,united [2702] united,states [2702] states,care [2702] care,one [2702] one,bit Top Word Pairs in Tweet in G2:
[2371] want,people [2371] people,outside [2371] outside,california [2371] california,understand [2371] understand,past [2371] past,few [2371] few,days [2371] days,250 [2371] 250,000 [2371] 000,evacuate Top Word Pairs in Tweet in G3:
[2355] fighting,fires [2354] 20,firefighters [2354] firefighters,front [2354] front,lines [2354] lines,california's [2354] california's,blazes [2354] blazes,detained [2354] detained,folks [2354] folks,paid [2354] paid,2 Top Word Pairs in Tweet in G4:
[232] california,fires [99] fires,california [61] power,lines [59] climate,change [46] pg,e [41] lines,started [36] power,outages [35] started,2 [34] utility,power [31] fires,rage Top Word Pairs in Tweet in G5:
[428] san,francisco [427] bay,area [424] francisco,bay [419] 000,people [411] 200,000 [405] near,san [391] 000,acres [389] acres,burned [386] 17,fires [386] fires,actively Top Word Pairs in Tweet in G6:
[122] didn,t [122] t,tell [122] tell,one [122] one,housekeeper [122] housekeeper,need [122] need,tell [122] tell,come [122] come,brittny_mejia [122] brittny_mejia,great [122] great,tho Top Word Pairs in Tweet in G7:
[181] please,heed [181] heed,warnings [172] state,emergency [172] emergency,due [172] evacuation,zones [172] affected,fires [171] california,declared [171] declared,state [171] due,wildfires [171] wildfires,those Top Word Pairs in Tweet in G8:
[372] california,fires [361] see,people [361] climate,change [359] tend,think [359] think,people [359] people,pretty [359] pretty,smart [359] smart,see [359] people,truly [359] truly,believe Top Word Pairs in Tweet in G9:
[299] witnessing,apocalyptic [299] apocalyptic,scenes [299] scenes,destruction [299] destruction,california [299] california,disgraceful [299] disgraceful,fucking [299] fucking,fraud [299] fraud,president [299] president,ignores [299] ignores,https Top Word Pairs in Tweet in G10:
[81] climate,change [48] california,fires [36] fires,california [31] government,mindless [31] mindless,environmentalists [31] environmentalists,leads [31] leads,largest [31] largest,intentional [31] intentional,blackout [31] blackout,california 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 G7:
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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: