The graph represents a network of 2,614 Twitter users whose recent tweets contained "#CDCTips", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 15:26 UTC.
The tweets in the network were tweeted over the 3917-day, 8-hour, 58-minute period from Monday, 18 June 2012 at 14:32 UTC to Friday, 10 March 2023 at 23:30 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2614
Unique Edges : 940
Edges With Duplicates : 7892
Total Edges : 8832
Number of Edge Types : 9
Retweet : 3056
MentionsInRetweet : 3257
Tweet : 1533
Quote : 120
Mentions : 560
Replies to : 115
MentionsInReplyTo : 131
MentionsInQuoteReply : 22
MentionsInQuote : 38
Self-Loops : 1629
Reciprocated Vertex Pair Ratio : 0.0147058823529412
Reciprocated Edge Ratio : 0.0289855072463768
Connected Components : 403
Single-Vertex Connected Components : 274
Maximum Vertices in a Connected Component : 1973
Maximum Edges in a Connected Component : 7890
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.400555
Graph Density : 0.000393975036828101
Modularity : 0.276851
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,614 Twitter users whose recent tweets contained "#CDCTips", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 15:26 UTC.
The tweets in the network were tweeted over the 3917-day, 8-hour, 58-minute period from Monday, 18 June 2012 at 14:32 UTC to Friday, 10 March 2023 at 23:30 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #CDCTips
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:
[931] quit,smoking [726] smoking,related [519] stories,people [424] caused,smoking [403] former,smokers [377] people,living [314] related,diseases [295] tips,former [279] living,smoking [235] smokers,campaign Top Word Pairs in Tweet in G1:
[389] quit,smoking [293] smoking,related [221] caused,smoking [151] stories,people [132] former,smokers [118] tips,former [101] smoking,#cdctips [98] cancer,caused [94] oral,cancer [91] people,living Top Word Pairs in Tweet in G2:
[180] stories,people [169] smoking,related [126] cdcgov,#cdctips [116] people,living [111] loved,ones [107] quit,smoking [90] related,diseases [90] started,smoking [85] caused,smoking [85] didn,think Top Word Pairs in Tweet in G3:
[54] quit,smoking [30] #cdc,#cdctips [28] smoking,related [26] learn,more [25] 800,quit [21] story,#cdctips [21] people,quit [20] stories,people [19] people,living [18] call,800 Top Word Pairs in Tweet in G4:
[212] next,items [212] masks,tricol [212] masks,day [212] capacity,make [212] tricol,group [212] kn95,masks [212] group,capacity [212] 200,000 [212] verified,kn95 [212] day,orders Top Word Pairs in Tweet in G5:
[148] quit,smoking [133] smoking,related [103] former,smokers [92] stories,people [84] people,living [82] tips,former [71] related,diseases [66] caused,smoking [64] smokers,campaign [53] living,smoking Top Word Pairs in Tweet in G6:
[50] quit,smoking [18] try,quit [17] #cdctips,increase [17] resources,800 [17] number,people [17] use,quit [17] 800,quit [17] people,try [17] increase,number [17] smoking,use Top Word Pairs in Tweet in G7:
[47] quit,smoking [47] 800,quit [38] call,800 [23] former,smokers [20] #cdctips,#nequitline [19] secondhand,smoke [19] story,#cdctips [18] #nequitline,#cdctips [18] smoking,related [16] caused,smoking Top Word Pairs in Tweet in G8:
[3] #cdc,#cdctips [2] shut,down [2] agencies,shut [2] set,back [2] possibly,set [2] #masks4all,#cdctips [2] prevent,coronavirus [2] #cdctips,#covid19 [2] back,explicitly [2] #cdctips,#coronaviruspandemic Top Word Pairs in Tweet in G9:
[31] quit,smoking [24] learn,more [14] smoking,related [13] people,living [13] caused,smoking [11] stories,people [10] lung,cancer [10] smoking,cessation [9] living,smoking [9] visit,#cdctips Top Word Pairs in Tweet in G10:
[19] 10,years [19] years,#cdctips [18] #cdctips,let's [18] time,implied [18] caused,woman [18] let's,remember [18] vaping,products [18] celebrate,10 [18] woman,suffer [18] products,caused Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: