The graph represents a network of 6,436 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, 16 February 2022 at 14:29 UTC.
The requested start date was Wednesday, 16 February 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 1-day, 20-hour, 37-minute period from Monday, 14 February 2022 at 04:23 UTC to Wednesday, 16 February 2022 at 01:00 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 : 6436
Unique Edges : 10059
Edges With Duplicates : 15003
Total Edges : 25062
Number of Edge Types : 5
Replies to : 3000
Mentions : 8416
Retweet : 3998
MentionsInRetweet : 9519
Tweet : 129
Self-Loops : 179
Reciprocated Vertex Pair Ratio : 0.0089354097523615
Reciprocated Edge Ratio : 0.0177125506072875
Connected Components : 81
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 6342
Maximum Edges in a Connected Component : 24945
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.533687
Graph Density : 0.000381691369882793
Modularity : 0.375448
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,436 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, 16 February 2022 at 14:29 UTC.
The requested start date was Wednesday, 16 February 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 1-day, 20-hour, 37-minute period from Monday, 14 February 2022 at 04:23 UTC to Wednesday, 16 February 2022 at 01:00 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".
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:
[536] state,emergency [469] super,bowl [454] 70,000 [452] 000,people [448] richardgrenell,gavinnewsom [437] masks,schools [429] one,day [428] audacity,gavinnewsom [428] gavinnewsom,host [428] host,unmasked Top Word Pairs in Tweet in G1:
[451] state,emergency [422] richardgrenell,gavinnewsom [368] 70,000 [366] 000,people [359] one,day [359] masks,schools [358] audacity,gavinnewsom [358] gavinnewsom,host [358] host,unmasked [358] unmasked,party Top Word Pairs in Tweet in G2:
[137] mask,mandates [103] gavinnewsom,californiapuc [97] dr,ghaly [90] cagovernor,gavinnewsom [89] school,mask [84] wow,hundreds [84] hundreds,kids [84] kids,walked [84] walked,oak [84] oak,ridge Top Word Pairs in Tweet in G3:
[337] gavinnewsom,jensiebelnewsom [296] gavinnewsom,ramsnfl [112] jensiebelnewsom,gavinnewsom [101] happy,valentine [100] valentine,day [74] gavinnewsom,happy [74] kids,side [72] day,jensiebelnewsom [72] jensiebelnewsom,life [72] life,always Top Word Pairs in Tweet in G4:
[182] california,voters [169] doing,poor [169] poor,job [168] whopping,two [168] two,thirds [168] thirds,california [168] voters,think [168] think,gavinnewsom [168] gavinnewsom,doing [168] job,homelessness Top Word Pairs in Tweet in G5:
[199] sovernnation,gavinnewsom [98] gavinnewsom,love [97] behind,scenes [96] scenes,essentially [96] essentially,stalling [96] stalling,tactic [96] tactic,gavinnewsom [96] love,announce [95] sovernnation,behind [95] announce,unma Top Word Pairs in Tweet in G6:
[75] gavinnewsom,dr [75] dr,ghaly [73] ghaly,held [63] held,personally [63] personally,responsible [61] everything,power [61] power,make [61] make,sure [61] sure,gavinnewsom [61] responsible,harm Top Word Pairs in Tweet in G7:
[54] huntington,beach [53] piece,filth [53] filth,disseminated [53] disseminated,huntington [53] beach,ca [53] ca,guarantee [53] guarantee,gavinnewsom [53] gavinnewsom,speak [53] speak,against [52] lesleyabravanel,piece Top Word Pairs in Tweet in G8:
[24] gavinnewsom,mayortoddgloria [24] mayortoddgloria,sdschools [23] kevinkileyca,gavinnewsom [14] ladailynews,lapublichealth [14] lapublichealth,gavinnewsom [14] sdschools,money [14] money,newsom [13] bonniej00956051,ladailynews [13] newsom,th [10] sdschools,letthem_breathe Top Word Pairs in Tweet in G9:
[14] tejs40,cnn [14] cnn,gavinnewsom [3] gavinnewsom,appointed [3] gavinnewsom,teampelosi [3] cbssacramento,abc10 [2] votevets,gavinnewsom [2] leaders,gavinnewsom [2] read,latimes [2] latimes,sfchronicle [2] sfchronicle,nsaction_us Top Word Pairs in Tweet in G10:
[6] supreme,court [5] patricia,guerrero [4] gavin,newsom [4] mandates,california [4] justice,patricia [3] lose,jobs [3] california,epicenter [3] epicenter,voter [3] voter,fraud [3] ca,supreme Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: