The graph represents a network of 401 Twitter users whose recent tweets contained "#nodes2020", 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, 24 October 2020 at 19:23 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 12-minute period from Friday, 16 October 2020 at 13:55 UTC to Saturday, 24 October 2020 at 13:07 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 : 402
Unique Edges : 932
Edges With Duplicates : 3334
Total Edges : 4266
Number of Edge Types : 5
Mentions : 2726
Replies to : 141
Retweet : 546
MentionsInRetweet : 463
Tweet : 390
Self-Loops : 399
Reciprocated Vertex Pair Ratio : 0.134551495016611
Reciprocated Edge Ratio : 0.237188872620791
Connected Components : 31
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 319
Maximum Edges in a Connected Component : 2480
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.585708
Graph Density : 0.00847384027493455
Modularity : 0.224939
NodeXL Version : 1.0.1.441
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=238670
Data Import : The graph represents a network of 401 Twitter users whose recent tweets contained "#nodes2020", 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, 24 October 2020 at 19:23 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 12-minute period from Friday, 16 October 2020 at 13:55 UTC to Saturday, 24 October 2020 at 13:07 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 : #nodes2020
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:
[142] #neo4j,#nodes2020 [92] #nodes2020,#neo4j [72] patriotsally,khary_illah [72] black_is_back5,hrt6017 [72] veteranhusker,lostandlovinit [72] usmc_army,aaronaretools [72] aaronaretools,truebluebadass [72] truebluebadass,realgreyrider [72] royisrael,hilda_brand [72] hilda_brand,rickysi16087724 Top Word Pairs in Tweet in G1:
[76] #neo4j,#nodes2020 [48] #nodes2020,#neo4j [47] neo4j,#nodes2020 [45] october,20 [39] graph,data [38] #nodes2020,october [33] #nodes2020,keynote [33] next,decade [29] data,science [25] decade,graphs Top Word Pairs in Tweet in G2:
[37] #neo4j,#nodes2020 [23] graph,data [22] days,go [22] go,#nodes2020 [19] data,science [19] graph,visualization [16] neo4j,#knowledgegraphs [16] #knowledgegraphs,#datascience [15] network,science [14] graph,model Top Word Pairs in Tweet in G3:
[72] patriotsally,khary_illah [72] black_is_back5,hrt6017 [72] veteranhusker,lostandlovinit [72] usmc_army,aaronaretools [72] aaronaretools,truebluebadass [72] truebluebadass,realgreyrider [72] royisrael,hilda_brand [72] hilda_brand,rickysi16087724 [72] rickysi16087724,gpoopon [72] gpoopon,vacavillesabra Top Word Pairs in Tweet in G4:
[18] #nodes2020,#neo4j [6] #neo4j,#nodes2020 [2] excited,community [2] community,partner [2] partner,#nodes2020 [2] #nodes2020,join [2] tues,oct [2] oct,20 [2] 20,neo4j's [2] neo4j's,annual Top Word Pairs in Tweet in G5:
[19] lorenzo,speranzoni [8] live,#nodes2020 [8] #nodes2020,deep [8] deep,tensor [8] tensor,fujitsu_global [8] fujitsu_global,integration [8] integration,galileoxai [8] galileoxai,thank's [8] thank's,lorenzo [8] speranzoni,surya Top Word Pairs in Tweet in G6:
[5] mattcasters,presented [5] presented,low [5] low,latency [5] latency,apachekafka [5] apachekafka,neo4j [5] neo4j,data [5] data,streaming [5] streaming,gcpcloud [5] gcpcloud,apachehop [5] apachehop,#neo4j Top Word Pairs in Tweet in G7:
[5] tuesday,october [5] october,20 [5] 20,30 [5] 30,pm [5] disastahguy,lmeyerov [5] lmeyerov,anita [5] anita,nikolich [5] nikolich,cody [5] cody,webb [5] #nodes2020,register Top Word Pairs in Tweet in G8:
[5] community,partner [5] partner,#nodes2020 [5] #nodes2020,join [5] neo4j's,annual [5] annual,developer [5] developer,summit [5] summit,free [5] free,day [5] day,talks [5] talks,#graphdatabases Top Word Pairs in Tweet in G9:
[2] #nodes2020,definitely [2] neo4j,#nodes2020 Top Word Pairs in Tweet in G10:
[4] #neo4j,#nodes2020 [4] #nodes2020,talk [4] talk,afternoon [4] afternoon,barrasadv [4] barrasadv,build [4] build,football [4] football,soccer [4] soccer,knowledge [4] knowledge,graph [4] graph,using 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 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 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:
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: