The graph represents a network of 230 Twitter users whose tweets in the requested range contained "datacommunitydc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 25 December 2019 at 01:56 UTC.
The requested start date was Wednesday, 25 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 84-day, 0-hour, 20-minute period from Tuesday, 01 October 2019 at 11:51 UTC to Tuesday, 24 December 2019 at 12:12 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 : 230
Unique Edges : 383
Edges With Duplicates : 1310
Total Edges : 1693
Number of Edge Types : 4
Mentions : 751
MentionsInRetweet : 829
Replies to : 31
Tweet : 82
Self-Loops : 82
Reciprocated Vertex Pair Ratio : 0.0779467680608365
Reciprocated Edge Ratio : 0.144620811287478
Connected Components : 7
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 223
Maximum Edges in a Connected Component : 1688
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.331383
Graph Density : 0.0107651414467439
Modularity : 0.201656
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 230 Twitter users whose tweets in the requested range contained "datacommunitydc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 25 December 2019 at 01:56 UTC.
The requested start date was Wednesday, 25 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 84-day, 0-hour, 20-minute period from Tuesday, 01 October 2019 at 11:51 UTC to Tuesday, 24 December 2019 at 12:12 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 : datacommunitydc
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:
[150] #rstatsdc,#datadc [134] #rstats,#rstatsdc [122] datasciencedc,datacommunitydc [89] #datadc,datasciencedc [56] #rstatsdc,#rstats [53] seanmgonzalez,thos_jones [49] datacommunitydc,datasciencedc [46] #datadc,insidebigdata [43] #rstats,#datadc [43] #datadc,datacommunitydc Top Word Pairs in Tweet in G1:
[46] #datadc,insidebigdata [32] insidebigdata,statprogdc [25] #rstatsdc,#datadc [21] #rstats,#rstatsdc [18] #datadc,datainnovation [14] #datadc,datasciencedc [14] insidebigdata,datasciencedc [13] machine,learning [13] datasciencedc,datacommunitydc [12] data,community Top Word Pairs in Tweet in G2:
[125] #rstatsdc,#datadc [113] #rstats,#rstatsdc [105] datasciencedc,datacommunitydc [74] #datadc,datasciencedc [51] seanmgonzalez,thos_jones [46] #rstatsdc,#rstats [38] datacommunitydc,datasciencedc [36] datacommunitydc,rstatsdc [36] #datadc,datacommunitydc [35] #rstats,#datadc Top Word Pairs in Tweet in G3:
[11] datacommunitydc,#dataweekdc [6] #data4dev,#datadive4dev [4] #datascience,datacommunitydc [4] #data4dev,#datascience [4] data,diving [4] datacommunitydc,presentation [4] presentation,time [4] time,worldbank [4] #datadive4dev,#dive4dev [4] datacommunitydc,amazing Top Word Pairs in Tweet in G4:
[10] #deeplearning,#tensorflow [8] come,join [7] neozero497,tells [6] really,really [6] datasciencedc,statprogdc [5] #deeplearning,tensorflow [5] tensorflow,meetup [5] meetup,date [5] date,wednesday [5] wednesday,december Top Word Pairs in Tweet in G5:
[5] time,fix [5] fix,meetup [5] meetup,proposing [5] proposing,charge [5] charge,attendees [5] attendees,kill [5] kill,dc [5] dc,tech [5] tech,scene [5] scene,groups Top Word Pairs in Tweet in G6:
[11] #lgbtq,data [6] charliehollisw,hrc [5] hrc,foundation [4] today,day [4] day,please [4] please,come [4] come,learn [4] learn,#lgbtq [4] data,see [4] see,datacommunitydc Top Word Pairs in Tweet in G7:
[2] hvfederal,pentaho [2] pentaho,maggianostysons [2] maggianostysons,jab121 [2] jab121,armediallc [2] armediallc,datacommunitydc [2] datacommunitydc,novadeeplearn [2] novadeeplearn,check [2] check,upcoming [2] upcoming,data Top Word Pairs in Tweet in G8:
[2] wahalulu,microsoft [2] microsoft,datacommunitydc [2] datacommunitydc,keynote [2] keynote,#morsetf [2] #morsetf,yesterday [2] yesterday,highlighted [2] highlighted,value [2] value,community Top Word Pairs in Tweet in G10:
[2] rladiesdc,datacommunitydc [2] clean,energy Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: