The graph represents a network of 5,023 Twitter users whose tweets in the requested range contained "gavinnewsom", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 15 March 2020 at 02:13 UTC.
The requested start date was Sunday, 15 March 2020 at 02:12 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 1-hour, 50-minute period from Saturday, 14 March 2020 at 00:21 UTC to Sunday, 15 March 2020 at 02:11 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 : 5023
Unique Edges : 10487
Edges With Duplicates : 6377
Total Edges : 16864
Number of Edge Types : 4
Replies to : 2191
MentionsInRetweet : 6493
Mentions : 8140
Tweet : 40
Self-Loops : 40
Reciprocated Vertex Pair Ratio : 0.0199966532797858
Reciprocated Edge Ratio : 0.0392092527274219
Connected Components : 34
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 4967
Maximum Edges in a Connected Component : 16807
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.654081
Graph Density : 0.000483280692169267
Modularity : 0.461274
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 5,023 Twitter users whose tweets in the requested range contained "gavinnewsom", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 15 March 2020 at 02:13 UTC.
The requested start date was Sunday, 15 March 2020 at 02:12 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 1-hour, 50-minute period from Saturday, 14 March 2020 at 00:21 UTC to Sunday, 15 March 2020 at 02:11 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 : GraphServerTwitterSearch
Graph Term : gavinnewsom
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:
[398] speakerpelosi,gavinnewsom [371] executive,order [310] cagovernor,gavinnewsom [304] governor,gavinnewsom [292] thank,speakerpelosi [292] gavinnewsom,myself [292] myself,libs [292] libs,created [292] created,proud [291] ipamsysands,thank Top Word Pairs in Tweet in G1:
[198] gov,gavinnewsom [175] executive,order [130] governor,gavinnewsom [110] signs,executive [109] gavinnewsom,signs [108] tomilahren,gavinnewsom [97] during,#coronavirus [80] fund,schools [79] schools,during [79] order,fund Top Word Pairs in Tweet in G2:
[380] speakerpelosi,gavinnewsom [287] thank,speakerpelosi [287] gavinnewsom,myself [287] myself,libs [287] libs,created [287] created,proud [286] ipamsysands,thank [71] surgeon_general,gavinnewsom [70] erictopol,us_fda [70] us_fda,vp Top Word Pairs in Tweet in G3:
[144] cagovernor,gavinnewsom [129] executive,order [129] governor,gavinnewsom [123] cagovernor,ca [120] ca,working [120] working,keep [120] keep,kids [120] kids,fed [120] fed,governor [120] gavinnewsom,executive Top Word Pairs in Tweet in G4:
[91] cagovernor,gavinnewsom [76] gavinnewsom,sbecalifornia [76] sbecalifornia,capublichealth [70] ski,resorts [58] squawalpineops,gavinnewsom [45] sierra,nevada [44] dumping,sierra [44] nevada,need [44] need,immediately [44] immediately,close Top Word Pairs in Tweet in G5:
[92] following,emergency [92] emergency,declaration [92] declaration,#covid19 [92] #covid19,700 [92] 700,highway [92] highway,message [92] message,signs [92] signs,down [92] down,state [92] state,urging Top Word Pairs in Tweet in G6:
[30] oregongovbrown,gavinnewsom [26] sunflower2499,oregongovbrown [26] lrbitisnot,oregongovbrown [26] gavinnewsom,mayorofla [25] oregongovbrown,calling [25] calling,upon [25] upon,gavinnewsom [25] gavinnewsom,sign [25] sign,executive [25] executive,order Top Word Pairs in Tweet in G7:
[89] re,self [89] self,quarantined [89] quarantined,week [89] week,spend [89] spend,few [89] few,minutes [89] minutes,calling [89] calling,gavinnewsom [89] gavinnewsom,demanding [89] demanding,caltrans Top Word Pairs in Tweet in G8:
[20] san,francisco [18] salesforce,donate [18] donate,5m [18] 5m,san [18] francisco,give2sf [18] give2sf,fund [18] fund,support [18] support,response [18] response,coronavirus [18] coronavirus,open Top Word Pairs in Tweet in G9:
[49] gavinnewsom,richardbloom [49] richardbloom,davidchiu [49] davidchiu,robbontaca [49] robbontaca,scott_wiener [43] scott_wiener,lorenasgonzalez [40] school,funding [39] update,ve [39] ve,folks [39] folks,reach [39] reach,ofc Top Word Pairs in Tweet in G10:
[15] trying,decide [15] decide,momsdemand [15] momsdemand,shirt [15] shirt,wear [15] wear,ca [15] ca,virtual [15] virtual,advocacy [15] advocacy,day [15] day,monday [15] monday,#covidー19 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:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: