The graph represents a network of 1,835 Twitter users whose recent tweets contained "#APHA2019 OR #APHA19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 03 November 2019 at 17:16 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 32-minute period from Friday, 25 October 2019 at 15:35 UTC to Sunday, 03 November 2019 at 17:07 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 : 1835
Unique Edges : 4658
Edges With Duplicates : 4616
Total Edges : 9274
Self-Loops : 766
Reciprocated Vertex Pair Ratio : 0.0646159798800542
Reciprocated Edge Ratio : 0.121388333636198
Connected Components : 108
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 1650
Maximum Edges in a Connected Component : 9052
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.099409
Graph Density : 0.0016351745265779
Modularity : 0.358364
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,835 Twitter users whose recent tweets contained "#APHA2019 OR #APHA19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 03 November 2019 at 17:16 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 32-minute period from Friday, 25 October 2019 at 15:35 UTC to Sunday, 03 November 2019 at 17:07 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 : #APHA2019 OR #APHA19
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[508] public,health [258] check,out [246] looking,forward [156] aphaannualmtg,#apha2019 [139] attending,#apha2019 [134] annual,meeting [110] learn,more [105] #ej4all,#apha2019 [96] #apha2019,#aphaej19 [95] opening,session Top Word Pairs in Tweet in G1:
[165] public,health [77] check,out [60] learn,more [56] looking,forward [40] annual,meeting [32] aphaannualmtg,#apha2019 [32] booth,811 [29] here,#apha2019 [28] #apha2019,aphaannualmtg [28] aphaannualmtg,publichealth Top Word Pairs in Tweet in G2:
[110] public,health [69] check,out [64] looking,forward [60] #ftgu19,#apha2019 [57] aphaannualmtg,#apha2019 [53] #apha2019,#phnapha2019 [49] attending,#apha2019 [47] #generationpublichealth,#apha2019 [39] #apha2019,#generationpublichealth [35] business,meeting Top Word Pairs in Tweet in G3:
[80] public,health [53] looking,forward [41] opening,session [39] annual,meeting [34] aphaannualmtg,opening [34] healthiest,nation [32] philly,#apha2019 [32] publichealth,#apha2019 [28] forward,aphaannualmtg [28] session,spoiler Top Word Pairs in Tweet in G4:
[90] public,health [64] #ej4all,#apha2019 [62] #apha2019,#aphaej19 [49] check,out [38] #aphaej19,#ej4all [32] aphaannualmtg,#apha2019 [30] looking,forward [25] environmental,justice [24] #aphaej19,#apha2019 [23] cumulative,impacts Top Word Pairs in Tweet in G5:
[13] aphaannualmtg,#apha2019 [12] check,out [11] public,health [7] looking,forward [7] #philly,sure [7] oldest,bar [7] beers,tap [7] near,paconvention [7] paconvention,hotels [7] hotels,aphaannualmtg Top Word Pairs in Tweet in G6:
[5] looking,forward [4] excited,#apha2019 [4] opening,session [3] next,week [3] #apha2019,philadelphia [3] #apha2019,looking [3] stop,booth [3] check,out [2] first,apha [2] #apha2019,program Top Word Pairs in Tweet in G7:
[30] #100mlivesfg,#apha2019 [19] shared,#100mlivesfg [18] race,equity [12] people,lived [12] lived,experience [12] experience,inequities [11] drbernicerumala,shemekkaebony [11] shemekkaebony,roaryyolanda [11] roaryyolanda,realtalkmrknuc [11] public,health Top Word Pairs in Tweet in G8:
[45] #apha2019,#onepressmanyhands [30] #onepressmanyhands,#apha2019 [16] community,print [14] #apha19,#onepressmanyhands [13] hard,work [12] jamie,mahoney [12] print,printed [12] printed,poster [12] poster,celebration [12] celebration,#elijahcummings Top Word Pairs in Tweet in G9:
[14] #womeningh,aphaannualmtg [12] ednaadan,shabnumsarfraz [12] shabnumsarfraz,drmartincdc [12] drmartincdc,cdcgov [12] cdcgov,katemidden [12] katemidden,devex [12] #womeningh,calls [12] calls,examination [12] examination,current [12] current,#leadership Top Word Pairs in Tweet in G10:
[33] epidemic,home [27] 11,3 [19] attending,#apha2019 [18] #apha2019,join [18] join,discussion [18] discussion,ending [18] ending,#hiv [18] #hiv,epidemic [18] home,abroad [18] abroad,cdcdirector Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 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: