The graph represents a network of 565 Twitter users whose recent tweets contained "#ACSCC19", 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 Saturday, 26 October 2019 at 17:16 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 45-minute period from Thursday, 17 October 2019 at 16:30 UTC to Saturday, 26 October 2019 at 17:15 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 : 565
Unique Edges : 1478
Edges With Duplicates : 951
Total Edges : 2429
Self-Loops : 110
Reciprocated Vertex Pair Ratio : 0.0742544126597687
Reciprocated Edge Ratio : 0.138243626062323
Connected Components : 35
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 504
Maximum Edges in a Connected Component : 2342
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.920017
Graph Density : 0.00553881880374066
Modularity : 0.464108
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 565 Twitter users whose recent tweets contained "#ACSCC19", 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 Saturday, 26 October 2019 at 17:16 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 45-minute period from Thursday, 17 October 2019 at 16:30 UTC to Saturday, 26 October 2019 at 17:15 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 : #ACSCC19
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:
[143] #aws2019,#acscc19 [132] clinical,congress [99] amcollsurgeons,#acscc19 [87] san,francisco [62] looking,forward [46] #acscc19,tuesday [46] tuesday,10 [45] amcollsurgeons,clinical [38] 10,29 [36] #acscc19,#aws2019 Top Word Pairs in Tweet in G1:
[128] #aws2019,#acscc19 [32] #acscc19,#aws2019 [31] looking,forward [25] womensurgeons,#aws2019 [25] amcollsurgeons,#acscc19 [24] womensurgeons,annual [24] annual,meeting [24] womensurgeons,latinosurgery [24] upcoming,#acscc19 [23] clinical,congress Top Word Pairs in Tweet in G2:
[73] clinical,congress [24] san,francisco [23] amcollsurgeons,clinical [20] science,news [20] amcollsurgeons,#acscc19 [17] tuesday,october [17] october,29 [15] #acscc19,amcollsurgeons [14] thinking,specializing [14] specializing,colorectal Top Word Pairs in Tweet in G3:
[15] #acscc19,tuesday [15] tuesday,10 [14] academicsurgery,amcollsurgeons [12] amcollsurgeons,pittsurgery [10] know,more [7] clinical,congress [7] 10,29 [7] macky_neal,womensurgeons [7] womensurgeons,academicsurgery [7] pittsurgery,surgeonsvoice Top Word Pairs in Tweet in G4:
[13] drrayprice,mamtaswa [13] mamtaswa,emakasa [13] pturnermd,bnwomeh [13] bnwomeh,sudhapjay [13] sudhapjay,acspastprez98 [13] acspastprez98,henrifordmd [13] henrifordmd,harvardpgssc [11] operation,giving [11] giving,back [10] join,operation Top Word Pairs in Tweet in G5:
[12] looking,forward [12] san,francisco [11] #acscc19,amcollsurgeons [8] days,away [8] away,#acscc19 [8] #acscc19,excited [8] excited,san [8] francisco,great [8] great,deals [8] deals,#elsevier Top Word Pairs in Tweet in G6:
[5] clinical,congress [3] acs,clinical [3] san,francisco [2] next,week [2] give,warm [2] warm,welcome [2] welcome,#attendees [2] #sanfrancisco,shall [2] shall,need [2] need,#hotel Top Word Pairs in Tweet in G7:
[27] amcollsurgeons,#acscc19 [25] columbiacrs,columbiasurgery [22] mark,calendars [22] calendars,amcollsurgeons [19] colon,rectal [19] rectal,surgery [14] #colorectalsurgery,#colorectalresearch [14] mon,10 [14] 10,28 [14] 28,2 Top Word Pairs in Tweet in G8:
[7] san,francisco [5] next,week [4] traumamgh,mghsurgery [4] mghsurgery,rusmalumni [3] total,#texas [3] #texas,moment [3] moment,assistant [3] assistant,vacation [3] vacation,fill [3] fill,contact Top Word Pairs in Tweet in G9:
[2] safe,travels [2] travels,residents [2] residents,faculty [2] faculty,heading [2] heading,amcollsurgeons [2] amcollsurgeons,#acscc19 [2] #acscc19,excited [2] excited,great [2] great,meeting [2] meeting,rainqueenlg Top Word Pairs in Tweet in G10:
[3] looking,forward [2] forward,seeing [2] seeing,great [2] great,work [2] work,csph_bwh [2] csph_bwh,cherylzogg [2] cherylzogg,juanph19 [2] juanph19,elzeriedj [2] elzeriedj,manuelcastillmd [2] manuelcastillmd,dannymoumd 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 Replied-To in G8:
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 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: