The graph represents a network of 623 Twitter users whose tweets in the requested range contained "#hcldr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 15 June 2021 at 16:09 UTC.
The requested start date was Tuesday, 15 June 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 55-minute period from Tuesday, 01 June 2021 at 00:33 UTC to Monday, 14 June 2021 at 23:28 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 : 623
Unique Edges : 630
Edges With Duplicates : 4116
Total Edges : 4746
Number of Edge Types : 5
Mentions : 666
Retweet : 1495
MentionsInRetweet : 1815
Tweet : 348
Replies to : 422
Self-Loops : 370
Reciprocated Vertex Pair Ratio : 0.140610545790934
Reciprocated Edge Ratio : 0.246553122465531
Connected Components : 35
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 369
Maximum Edges in a Connected Component : 2525
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.600814
Graph Density : 0.00318188621595537
Modularity : 0.191509
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 623 Twitter users whose tweets in the requested range contained "#hcldr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 15 June 2021 at 16:09 UTC.
The requested start date was Tuesday, 15 June 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 55-minute period from Tuesday, 01 June 2021 at 00:33 UTC to Monday, 14 June 2021 at 23:28 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 : GraphServerTwitterSearch
Graph Term : #hcldr
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:
[973] join,#npc_india_gov [973] #npc_india_gov,#webinar [973] #webinar,#lean [973] #lean,#healthcare [973] #healthcare,#management [973] #management,27 [973] 27,06 [973] 06,2021 [973] 2021,10 [973] 10,pm Top Word Pairs in Tweet in G1:
[24] covid,19 [20] during,pandemic [19] #hcldr,blog [18] healthcare,leadership [17] colin_hung,joebabaian [15] #hcldr,friends [15] great,see [14] hope,remember [13] tonight,#hcldr [13] t4,hope Top Word Pairs in Tweet in G2:
[973] join,#npc_india_gov [973] #npc_india_gov,#webinar [973] #webinar,#lean [973] #lean,#healthcare [973] #healthcare,#management [973] #management,27 [973] 27,06 [973] 06,2021 [973] 2021,10 [973] 10,pm Top Word Pairs in Tweet in G3:
[11] healthcare,leadership [8] #hcldr,blog [8] gailyentabeck,hcldr [7] covid,19 [7] published,#hcldr [7] blog,healthcare [7] leadership,love [7] love,join [7] join,tonight [7] tonight,21 Top Word Pairs in Tweet in G4:
[32] once,awhile [32] awhile,opportunity [32] opportunity,comes [32] comes,along [32] along,something [32] something,changes [32] changes,game [32] game,excited [31] jameyedwards,once [24] excited,team Top Word Pairs in Tweet in G5:
[17] #hcldr,#pophealth [16] pophealth,week [13] fred,goldstein [11] #pophealth,#hcldr [10] week,hosts [10] hosts,fred [10] goldstein,gregg [10] gregg,masters [10] masters,talk [10] talk,today's Top Word Pairs in Tweet in G6:
[2] wonderful,important [2] important,known [2] known,dr [2] dr,neely [2] neely,williams [2] williams,years [2] years,learn [2] learn,something [2] something,time [2] time,around Top Word Pairs in Tweet in G7:
[10] well,folks [10] folks,welcome [10] welcome,stronger [10] stronger,future [10] future,building [10] building,access [10] access,capacity [10] capacity,great [10] great,care [10] care,great Top Word Pairs in Tweet in G8:
[3] cultural,empathy [3] empathy,patient [3] patient,engagement [3] engagement,jun_soojin [3] jun_soojin,#patientengagement [2] jun_soojin,cultural [2] #patientengagement,#empa Top Word Pairs in Tweet in G9:
[4] thought,find [4] find,time [4] time,insert [4] insert,during [4] during,last [4] last,night's [4] night's,#hcldr [4] #hcldr,chat [4] chat,#pinksocks [4] #pinksocks,#archcollaborative Top Word Pairs in Tweet in G10:
[12] learn,more [11] special,themed [11] themed,issue [11] issue,journal [8] publish,special [8] journal,patient [8] patient,safety [8] safety,learn [8] more,jpatientsafety [6] jlschilling22,publish Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: