The graph represents a network of 201 Twitter users whose recent tweets contained "#InteropForum", 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 Wednesday, 21 August 2019 at 16:46 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 26-minute period from Tuesday, 13 August 2019 at 13:18 UTC to Wednesday, 21 August 2019 at 16:44 UTC.
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 : 201
Unique Edges : 419
Edges With Duplicates : 536
Total Edges : 955
Self-Loops : 107
Reciprocated Vertex Pair Ratio : 0.0481695568400771
Reciprocated Edge Ratio : 0.0919117647058824
Connected Components : 8
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 190
Maximum Edges in a Connected Component : 943
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.604578
Graph Density : 0.0135323383084577
Modularity : 0.300425
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[94] onc_healthit,#interopforum [69] #interopforum,#healthit [41] interoperability,forum [38] #onc,#interopforum [26] #interoperability,forum [25] patient,access [25] access,data [25] health,care [25] onc,s [24] dr,rucker Top Word Pairs in Tweet in G1:
[23] interoperability,forum [23] #interopforum,#healthit [19] onc_healthit,#interopforum [13] #healthit,#interopforum [12] onc,s [12] 3rd,interoperability [11] agenda,3rd [11] 3rd,onc [11] onc,interoperability [11] forum,now Top Word Pairs in Tweet in G2:
[33] #onc,#interopforum [21] onc_healthit,#interopforum [19] #interopforum,#healthit [13] rucker,#onc [13] #interopforum,onc_healthit [12] dr,rucker [11] health,care [10] billion,messages [10] patient,id [9] donrucker,highlighting Top Word Pairs in Tweet in G3:
[8] #interopforum,#healthit [8] onc_healthit,#interopforum [5] best,hospitals [5] hospitals,use [5] use,cerner [5] cerner,epic [5] epic,worst [5] worst,s [5] s,technology [5] technology,implementation Top Word Pairs in Tweet in G4:
[21] onc_healthit,#interopforum [15] right,patient [15] patient,access [15] access,data [15] simon,eccles [11] health,care [9] #interopforum,#healthit [9] price,product [9] product,transparency [9] transparency,right Top Word Pairs in Tweet in G5:
[9] onc_healthit,#interopforum [4] listening,nhsengland [4] nhsengland,onc_healthit [4] #interopforum,talk [4] talk,using [4] using,fidoalliance [4] fidoalliance,openid [4] openid,oauth_2 [4] oauth_2,app [4] app,access Top Word Pairs in Tweet in G6:
[13] healthit_policy,#interopforum [12] 3rd,#interoperability [12] #interoperability,forum [12] deputy,national [12] national,coordinator [11] onc_healthit,deputy [11] coordinator,steve [11] steve,posnack [11] posnack,kicks [11] kicks,3rd Top Word Pairs in Tweet in G7:
[11] michelle,dougherty [11] dougherty,mvldougherty [9] onc_healthit,#interopforum [8] rti_intl,researcher [8] researcher,michelle [8] improving,care [8] care,coordination [8] coordination,between [8] between,acute [8] acute,post Top Word Pairs in Tweet in G8:
[3] join,discussion [3] discussion,future [3] future,state [3] state,interoperability [3] interoperability,thursday [3] thursday,8 [3] 8,22 [3] 22,2pm [3] 2pm,onc_healthit [3] onc_healthit,#interopforum Top Word Pairs in Tweet in G10:
[7] morgan,honea [4] corhio,#interopforum [4] corhio,ceo [4] ceo,morgan [4] onc_healthit,#interopforum [4] current,state [3] ehi,member [3] member,corhio [3] honea,takes [3] takes,stage Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: