The graph represents a network of 6,930 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 Wednesday, 01 June 2022 at 13:26 UTC.
The requested start date was Wednesday, 01 June 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 6-hour, 54-minute period from Sunday, 29 May 2022 at 00:58 UTC to Tuesday, 31 May 2022 at 07:52 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 : 6930
Unique Edges : 7979
Edges With Duplicates : 12531
Total Edges : 20510
Number of Edge Types : 5
Retweet : 3645
MentionsInRetweet : 6812
Mentions : 6264
Replies to : 3289
Tweet : 500
Self-Loops : 536
Reciprocated Vertex Pair Ratio : 0.0157314304249108
Reciprocated Edge Ratio : 0.0309755708127096
Connected Components : 384
Single-Vertex Connected Components : 300
Maximum Vertices in a Connected Component : 6400
Maximum Edges in a Connected Component : 19820
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.885335
Graph Density : 0.000260860673618647
Modularity : 0.41196
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,930 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 Wednesday, 01 June 2022 at 13:26 UTC.
The requested start date was Wednesday, 01 June 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 6-hour, 54-minute period from Sunday, 29 May 2022 at 00:58 UTC to Tuesday, 31 May 2022 at 07:52 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:
[725] armed,guards [447] errolwebber,gavinnewsom [383] richardgrenell,gavinnewsom [363] put,armed [363] school,california [362] gavinnewsom,armed [362] guards,protecting [362] protecting,refuses [362] refuses,put [362] guards,school Top Word Pairs in Tweet in G1:
[689] armed,guards [364] richardgrenell,gavinnewsom [345] school,california [344] gavinnewsom,armed [344] guards,protecting [344] protecting,refuses [344] refuses,put [344] put,armed [344] guards,school [343] california,sup Top Word Pairs in Tweet in G2:
[408] errolwebber,gavinnewsom [301] carolmanley1,gavinnewsom [213] prevent,getting [206] make,sure [206] vaccine,didn [204] gavinnewsom,make [204] sure,remind [204] remind,everyone [204] everyone,grateful [204] grateful,vaccine Top Word Pairs in Tweet in G3:
[18] vax4littles,gavinnewsom [17] gavinnewsom,great [17] great,kids [17] kids,lt [17] lt,same [17] same,protection [17] protection,keep [17] keep,experiencing [16] experiencing,wors [15] gavinnewsom,ca_dem Top Word Pairs in Tweet in G4:
[255] lack,housing [255] housing,people [254] lot,people [254] people,including [254] including,gavinnewsom [254] gavinnewsom,homelessness [254] homelessness,lack [254] people,street [253] shellenbergermd,lot [99] housing,first Top Word Pairs in Tweet in G5:
[67] cagovernor,gavinnewsom [47] euthanasia,name [47] name,zoé [47] zoé,#a1674730 [47] #a1674730,needs [47] needs,instead [47] instead,set [47] set,euthlisted [47] euthlisted,week [47] week,medical Top Word Pairs in Tweet in G6:
[17] covid,19 [7] grateful,vaccinated [6] dio,positivo [6] positivo,covid [6] getting,covid [6] tests,positive [6] #covid,19 [5] well,soon [5] mild,symptoms [5] 10,days Top Word Pairs in Tweet in G7:
[154] pregnant,grateful [154] grateful,birth [154] birth,control [154] control,otherwise [154] otherwise,having [154] having,triplets [153] stevedeaceshow,pregnant [41] booster,10 [41] 10,days [41] days,ago Top Word Pairs in Tweet in G8:
[86] something,tells [86] tells,being [86] being,compensated [86] compensated,dumb [86] dumb,shit [85] hodgetwins,something [36] one,cares [36] cares,#gruesomenewsom [36] #gruesomenewsom,#nancysnephew [35] sebgorka,one Top Word Pairs in Tweet in G9:
[66] woke,clockwork [65] aginnt,woke [42] brand,name [42] name,pharma [42] pharma,ad [42] ad,human [42] human,form [42] form,soon [42] soon,physical [42] physical,body Top Word Pairs in Tweet in G10:
[86] sure,evidence [86] evidence,support [86] support,paxlovid [86] paxlovid,healthy [86] healthy,54 [86] 54,year [86] year,old [86] old,doses [86] doses,mrna [86] mrna,vaccine Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: