The graph represents a network of 995 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 09 June 2020 at 05:20 UTC.
The requested start date was Tuesday, 09 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 2-hour, 41-minute period from Tuesday, 26 May 2020 at 00:23 UTC to Monday, 08 June 2020 at 03:04 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 : 995
Unique Edges : 1118
Edges With Duplicates : 2476
Total Edges : 3594
Number of Edge Types : 5
Tweet : 307
Retweet : 850
MentionsInRetweet : 1425
Mentions : 808
Replies to : 204
Self-Loops : 313
Reciprocated Vertex Pair Ratio : 0.0472706809229038
Reciprocated Edge Ratio : 0.0902740462117141
Connected Components : 130
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 732
Maximum Edges in a Connected Component : 3193
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.043317
Graph Density : 0.00188164160844464
Modularity : 0.38404
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 995 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 09 June 2020 at 05:20 UTC.
The requested start date was Tuesday, 09 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 2-hour, 41-minute period from Tuesday, 26 May 2020 at 00:23 UTC to Monday, 08 June 2020 at 03:04 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 : neo4j
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 G2:
[52] looking,forward [41] neo4j,expert [41] bnchrch,hey [40] hey,twitter [40] twitter,verse [40] verse,looking [40] looking,neo4j [40] expert,short [40] short,contract [40] contract,talk Top Word Pairs in Tweet in G3:
[18] neo4j,client [16] ãƒ,ム[15] graph,database [15] cpan,neo4j [15] graph,algorithms [15] neo4j,graph [15] ªã,ªã [15] use,graph [15] ÿã,ˆã [15] graph,databases Top Word Pairs in Tweet in G4:
[12] neo4j,try [8] try,something [8] something,today [7] graphql,mongodb [6] mongodb,nodejs [5] nodejs,reactjs [5] today,spin [4] spin,#neo4j [4] #neo4j,instance [3] instance,cloud Top Word Pairs in Tweet in G5:
[20] use,ksqldb [20] ksqldb,build [20] build,stateful [20] stateful,aggregations [15] aggregations,queried [15] queried,place [14] place,pushed [14] pushed,downstream [14] downstream,data [14] data,stores Top Word Pairs in Tweet in G6:
[24] #covidgraph,diverse [24] diverse,team [24] team,different [24] different,companies [24] companies,various [24] various,skills [24] skills,comes [24] comes,together [24] together,fight [24] fight,#covid19 Top Word Pairs in Tweet in G7:
[13] umax33,#graphdb [13] employee,name [13] umax33,#neo4j [13] name,hbk [13] #neo4j,#graphdb [13] #graphdb,employee [13] hbk,dept [13] dept,raw [13] raw,city [13] city,name Top Word Pairs in Tweet in G8:
[26] #ff,#database [19] #database,oracledatabase [16] oracledatabase,sqlserver [14] sqlserver,db2zlabnews [13] db2zlabnews,mysql [13] mysql,postgresql [13] postgresql,mongodb [13] mongodb,teradata [13] teradata,filemakertoday [13] filemakertoday,redislabs Top Word Pairs in Tweet in G9:
[2] #neo4j,#graphdatabases [2] build,#knowledgegraph [2] #knowledgegraph,corpus [2] corpus,natural [2] natural,language [2] language,documents [2] documents,#nlp [2] #neo4j,#graphdatabase [2] barrasadv,build [2] #nlp,#entityextract Top Word Pairs in Tweet in G10:
[7] gitlab,neo4j [7] neo4j,docker [7] docker,github [7] lyonwj,added [7] added,deploy [7] button,#grandstack [7] #grandstack,starter [6] starter,project [6] project,github [6] deploy,vercel Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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