The graph represents a network of 4,488 Twitter users whose recent tweets contained "#apha2019 OR #apha19 until:2019-11-05", 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 Tuesday, 05 November 2019 at 15:43 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 59-minute period from Sunday, 27 October 2019 at 14:00 UTC to Monday, 04 November 2019 at 23:59 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 : 4488
Unique Edges : 13633
Edges With Duplicates : 17706
Total Edges : 31339
Self-Loops : 2617
Reciprocated Vertex Pair Ratio : 0.0740601031057463
Reciprocated Edge Ratio : 0.137906813392648
Connected Components : 142
Single-Vertex Connected Components : 98
Maximum Vertices in a Connected Component : 4285
Maximum Edges in a Connected Component : 31115
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.020571
Graph Density : 0.00084836090158656
Modularity : 0.29612
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,488 Twitter users whose recent tweets contained "#apha2019 OR #apha19 until:2019-11-05", 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 Tuesday, 05 November 2019 at 15:43 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 59-minute period from Sunday, 27 October 2019 at 14:00 UTC to Monday, 04 November 2019 at 23:59 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 until:2019-11-05
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:
[2314] public,health [562] check,out [557] aphaannualmtg,#apha2019 [437] looking,forward [340] learn,more [332] #apha2019,aphaannualmtg [293] publichealth,#apha2019 [286] publichealth,aphaannualmtg [286] health,#apha2019 [267] health,equity Top Word Pairs in Tweet in G1:
[987] public,health [183] check,out [179] aphaannualmtg,#apha2019 [176] looking,forward [148] opening,session [142] publichealth,#apha2019 [133] robert,redfield [124] publichealth,aphaannualmtg [123] health,#apha2019 [114] #apha2019,aphaannualmtg Top Word Pairs in Tweet in G2:
[402] public,health [168] aphaannualmtg,#apha2019 [151] check,out [96] learn,more [91] looking,forward [74] publichealth,aphaannualmtg [69] stop,booth [67] #apha2019,aphaannualmtg [64] aphaannualmtg,publichealth [61] #apha2019,publichealth Top Word Pairs in Tweet in G3:
[233] public,health [96] aphaannualmtg,#apha2019 [76] check,out [53] looking,forward [51] robert,redfield [47] learn,more [46] science,data [45] publichealth,aphaannualmtg [42] redfield,#apha2019 [41] data,basis Top Word Pairs in Tweet in G4:
[280] public,health [85] #bfresearch,#apha2019 [68] #apha2019,#bfresearch [67] check,out [66] health,equity [63] looking,forward [56] #apha2019,aphaannualmtg [53] aphaannualmtg,#apha2019 [52] don,t [50] #100mlivesfg,#apha2019 Top Word Pairs in Tweet in G5:
[61] #ej4all,#apha2019 [57] #apha2019,#aphaej19 [46] public,health [31] environmental,justice [31] #aphaej19,#ej4all [27] climate,health [25] publichealth,s [24] #apha2019,#ej4all [21] cumulative,impacts [20] climate,change Top Word Pairs in Tweet in G6:
[28] amalia,riego [20] dr,amalia [19] pakistan's,surgical [19] surgical,system [18] #healthforall,#apha2019 [17] #apha2019,come [17] loyce,pace [16] global,health [16] riego,pahowho [16] #healthforall,#almaata40 Top Word Pairs in Tweet in G7:
[9] public,health [5] attending,#apha2019 [5] health,#apha2019 [4] philadelphia,#apha2019 [4] #apha19,#opengeneralsession [4] #apha2019,#opengeneralsession [3] #apha2019,looking [3] looking,forward [3] opening,session [3] #apha2019,opening Top Word Pairs in Tweet in G8:
[27] public,health [18] benefiting,big [15] learn,more [15] booth,#1327 [12] looking,forward [12] #apha2019,come [11] booth,1301 [11] program,director [10] help,develop [10] check,out Top Word Pairs in Tweet in G9:
[21] public,health [14] global,health [14] health,institute [10] fmscumd,umdpublichealth [10] institute,students [10] students,emerging [10] emerging,professionals [10] professionals,mid [10] mid,career [10] career,changers Top Word Pairs in Tweet in G10:
[16] public,health [10] check,out [10] #lgbtqhealth,#apha2019 [9] health,equity [7] gender,minority [7] gilbert,gee [7] gee,receiving [7] receiving,paul [7] paul,cornely [7] cornely,award Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Mentioned in G5:
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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: