The graph represents a network of 10,093 Twitter users whose recent tweets contained "vaccine OR vaccines OR PCV OR pneumonia OR "blood infection" OR "blood infections" OR "bacterial meningitis" OR immunization OR biologicals OR Prevnar OR Prevenar OR Synflorix OR "Pneumovax 23"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Wednesday, 13 November 2019 at 10:26 UTC.
The tweets in the network were tweeted over the 10-hour, 9-minute period from Tuesday, 12 November 2019 at 23:31 UTC to Wednesday, 13 November 2019 at 09:41 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 : 10093
Unique Edges : 15900
Edges With Duplicates : 8982
Total Edges : 24882
Number of Edge Types : 4
Retweet : 6952
Tweet : 2461
Mentions : 13813
Replies to : 1656
Self-Loops : 2599
Reciprocated Vertex Pair Ratio : 0.0224096533891523
Reciprocated Edge Ratio : 0.0438369362317095
Connected Components : 2055
Single-Vertex Connected Components : 1068
Maximum Vertices in a Connected Component : 5049
Maximum Edges in a Connected Component : 18160
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.963457
Graph Density : 0.000163039813758993
Modularity : 0.610532
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 10,093 Twitter users whose recent tweets contained "vaccine OR vaccines OR PCV OR pneumonia OR "blood infection" OR "blood infections" OR "bacterial meningitis" OR immunization OR biologicals OR Prevnar OR Prevenar OR Synflorix OR "Pneumovax 23"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Wednesday, 13 November 2019 at 10:26 UTC.
The tweets in the network were tweeted over the 10-hour, 9-minute period from Tuesday, 12 November 2019 at 23:31 UTC to Wednesday, 13 November 2019 at 09:41 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 : vaccine OR vaccines OR PCV OR pneumonia OR "blood infection" OR "blood infections" OR "bacterial meningitis" OR immunization OR biologicals OR Prevnar OR Prevenar OR Synflorix OR "Pneumovax 23"
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[761] ebola,vaccine [505] world,finally [416] childhood,pneumonia [381] children,under [346] finally,approved [310] flu,vaccine [301] com,pneumonia [281] tava,com [280] ta,com [278] tony,tava Top Word Pairs in Tweet in G1:
[79] #learntherisk,#vaccineinjury [68] mmr,vaccine [68] lizzysawrusrex,smutclyde [67] _cwn,misinfofox [67] misinfofox,awithonelison [67] chronicleflask,takethatchem [67] hong,kong [61] shut,down [60] homeschooling,way [60] way,hide Top Word Pairs in Tweet in G2:
[70] ebola,vaccine [63] vaccine,against [60] approved,vaccine [54] finally,approved [51] world,finally [49] against,ebola [38] immune,system [35] better,vaccine [34] vaccine,increases [33] vitamin,better Top Word Pairs in Tweet in G3:
[200] children,under [176] #ebola,vaccine [175] 000,children [173] 800,000 [119] today,#worldpneumoniaday [101] 39,seconds [99] more,800 [90] risk,countries [84] vaccine,paving [84] paving,way Top Word Pairs in Tweet in G4:
[411] world,finally [396] ebola,vaccine [257] finally,approved [229] more,two [229] two,decades [229] decades,research [229] research,world [229] approved,ebola [154] finally,ebola [77] better,understanding Top Word Pairs in Tweet in G5:
[55] flu,vaccine [45] gt,65 [41] adults,gt [38] adult,pneumonia [38] pneumonia,vax [38] vax,tweetorial [38] tweetorial,important [38] important,bc [38] bc,pneumococcus [38] pneumococcus,awful Top Word Pairs in Tweet in G6:
[57] pro,vax [57] vax,doctors [57] doctors,scientists [57] scientists,show [57] show,study [57] study,proves [57] proves,documented [57] documented,poison [57] poison,suddenly [57] suddenly,safe Top Word Pairs in Tweet in G7:
[278] tony,tava [278] tava,com [278] com,tosse [278] tosse,foi [278] foi,na [278] na,vet [278] vet,hoje [278] hoje,descobriu [278] descobriu,que [278] que,ta Top Word Pairs in Tweet in G8:
[92] good,grief [92] grief,alone [92] alone,stop [92] stop,anybody [92] anybody,gives [92] gives,damn [92] damn,humanity [92] humanity,voting [92] voting,conservatives [92] conservatives,back Top Word Pairs in Tweet in G9:
[107] thaddeus,burns [107] burns,hosted [107] hosted,fundraiser [107] fundraiser,buttigieg [107] buttigieg,head [107] head,government [107] government,amp [107] amp,public [107] public,affairs [107] affairs,big Top Word Pairs in Tweet in G10:
[333] childhood,pneumonia [196] csr,initiative [192] initiative,#philipsindiacsr [169] raising,awareness [150] philips,india [150] pneumonia,#philipsindiacsr [108] world,pneumonia [106] pneumonia,day [102] awareness,disease [99] philipsindia,helping Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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 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: