The graph represents a network of 6,131 Twitter users whose tweets in the requested range contained "vaccine OR vaccination", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 24 June 2019 at 07:03 UTC.
The requested start date was Monday, 24 June 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 1-hour, 26-minute period from Thursday, 20 June 2019 at 11:06 UTC to Friday, 21 June 2019 at 12:32 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 : 6131
Unique Edges : 6813
Edges With Duplicates : 1972
Total Edges : 8785
Number of Edge Types : 3
Replies to : 621
Mentions : 7323
Tweet : 841
Self-Loops : 841
Reciprocated Vertex Pair Ratio : 0.0115116631323841
Reciprocated Edge Ratio : 0.0227613057801737
Connected Components : 873
Single-Vertex Connected Components : 383
Maximum Vertices in a Connected Component : 4012
Maximum Edges in a Connected Component : 6575
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.516712
Graph Density : 0.000177686578224268
Modularity : 0.691649
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2262] orwell,died [2250] george,orwell [2214] tuberculosis,disease [2212] preventable,vaccine [2206] died,tuberculosis [2204] disease,made [2204] made,preventable [2203] sivavaid,george [250] anti,vaccine [192] vaccine,preventable Top Word Pairs in Tweet in G1:
[2176] george,orwell [2176] orwell,died [2176] died,tuberculosis [2176] tuberculosis,disease [2176] disease,made [2176] made,preventable [2176] preventable,vaccine [2175] sivavaid,george [2] effective,adults [2] bcg,vaccine Top Word Pairs in Tweet in G2:
[147] vaccine,preventable [140] #sb276,ensure [140] ensure,communities [140] communities,ca [140] ca,safe [140] safe,vaccine [140] preventable,disease [140] disease,want [140] want,kids [140] kids,kids Top Word Pairs in Tweet in G3:
[16] anti,vaccine [16] flu,vaccine [16] vaccine,bill [11] california,vaccine [8] vaccine,exemptions [8] bbc,news [8] combat,global [8] global,measles [8] measles,revival [8] anti,vaxxers Top Word Pairs in Tweet in G4:
[19] docmelliott,kevinmcredmond [19] thereal_truther,chrisjohnsonmd [19] kidoctr,bennettkayti [18] tonybaduy,emmagpaley [18] emmagpaley,doritmi [18] doritmi,lifedorr [17] juanita87722370,wendyorent [17] monstercoyliar,ghoppe [17] jamieconner8,stopvaxxedlies [17] stopvaxxedlies,dstluke Top Word Pairs in Tweet in G5:
[127] social,media [126] anti,vaccine [122] vaccine,movement [121] new,myth [121] myth,anti [121] movement,emerged [121] emerged,organically [121] organically,through [121] through,rise [121] rise,social Top Word Pairs in Tweet in G6:
[15] assembly,health [14] sad,day [14] day,health [14] health,freedom [14] freedom,advocates [14] advocates,california [14] california,everywhere [14] everywhere,sb276 [14] sb276,passed [14] passed,out Top Word Pairs in Tweet in G7:
[2] kctaz,no2wind [2] no2wind,marcusgibson [2] marcusgibson,barbarajdurkin [2] barbarajdurkin,noelturner194 [2] noelturner194,wilbertrobichau [2] wilbertrobichau,jpiersm [2] jpiersm,ned2au [2] ned2au,reefermadness [2] reefermadness,patrickinsyd [2] patrickinsyd,jonlesage4 Top Word Pairs in Tweet in G8:
[9] dr,'s [9] vaccine,exemptions [8] anti,vaccine [8] press,investigation [8] investigation,finds [8] finds,s [8] s,vaccine [8] vaccine,choice [8] choice,dr [8] 's,signed Top Word Pairs in Tweet in G9:
[9] medical,exemptions [8] vaccine,injuries [7] pertussis,vaccine [6] government,report [6] report,160 [6] 160,million [6] million,paid [6] paid,far [6] far,2019 [6] 2019,vaccine Top Word Pairs in Tweet in G10:
[45] george,orwell [44] orwell,died [43] died,age [43] age,46 [43] 46,chronic [43] chronic,infectious [43] infectious,tuberculosis [43] tuberculosis,treatment [43] treatment,both [43] both,streptomycin Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: