The graph represents a network of 1,056 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, 24 November 2020 at 06:14 UTC.
The requested start date was Tuesday, 24 November 2020 at 01:01 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, 23-hour, 13-minute period from Tuesday, 10 November 2020 at 01:05 UTC to Tuesday, 24 November 2020 at 00:18 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 : 1056
Unique Edges : 1129
Edges With Duplicates : 3002
Total Edges : 4131
Number of Edge Types : 5
MentionsInRetweet : 1508
Mentions : 1134
Retweet : 858
Tweet : 397
Replies to : 234
Self-Loops : 403
Reciprocated Vertex Pair Ratio : 0.0855675984027382
Reciprocated Edge Ratio : 0.157645822385707
Connected Components : 138
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 839
Maximum Edges in a Connected Component : 3854
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.337701
Graph Density : 0.00170813586097946
Modularity : 0.325417
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,056 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, 24 November 2020 at 06:14 UTC.
The requested start date was Tuesday, 24 November 2020 at 01:01 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, 23-hour, 13-minute period from Tuesday, 10 November 2020 at 01:05 UTC to Tuesday, 24 November 2020 at 00:18 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 Entire Graph:
[168] data,science [135] graph,data [72] releasing,research [72] research,tool [72] tool,part [72] part,talk [72] talk,clunky [72] clunky,beast [72] beast,go [71] apache,spark Top Word Pairs in Tweet in G1:
[30] data,science [27] graph,databases [24] graph,data [22] certified,neo4j [22] neo4j,today [22] today,show [22] show,expertise [22] expertise,graph [22] databases,employer [22] employer,potential Top Word Pairs in Tweet in G2:
[42] #neo4j,connector [24] connector,apache [21] apache,spark [21] graph,data [20] neo4j,connector [17] connector,apachespark [16] #neo4j,connections [16] data,science [15] graph,architecture [15] architecture,integrations Top Word Pairs in Tweet in G3:
[33] graph,data [23] spring,data [22] data,platforms [21] neo4j,named [21] named,leader [21] leader,graph [19] forrester's,nyuhanna [18] platforms,independent [18] independent,research [18] research,firm Top Word Pairs in Tweet in G4:
[13] apache,spark [10] connector,apache [6] spring,data [6] data,neo4j [6] graph,database [6] using,neo4j [5] minute,interview [5] interview,stefan [5] stefan,wendin [5] wendin,neo4j Top Word Pairs in Tweet in G5:
[93] data,science [53] 9am,pst [53] pst,12pm [53] 12pm,8pm [53] 8pm,eat [53] eat,10 [47] tue,nov [44] nov,17th [43] using,streamlit [43] streamlit,data Top Word Pairs in Tweet in G6:
[72] releasing,research [72] research,tool [72] tool,part [72] part,talk [72] talk,clunky [72] clunky,beast [72] beast,go [71] hotnops,releasing [6] cypherdog,full [6] full,re Top Word Pairs in Tweet in G7:
[4] thank,sponsors [4] sponsors,making [4] making,possible [4] possible,always [4] always,having [4] having,backs [4] backs,prioritizing [4] prioritizing,gender [3] #jdbc,bridge [3] pinkprogramming,thank Top Word Pairs in Tweet in G8:
[23] redislabs,neo4j [21] conferência,brasileira [21] brasileira,#nosql [21] #nosql,teremos [21] teremos,mongodb [21] mongodb,cassandra [21] cassandra,elastic [21] elastic,redislabs [21] neo4j,vários [21] vários,palestrantes Top Word Pairs in Tweet in G9:
[3] adron,mongo [2] adron,huge [2] huge,fan [2] fan,neo4j [2] neo4j,graph [2] graph,stuff [2] stuff,used [2] used,extensively [2] extensively,vendor [2] vendor,c# Top Word Pairs in Tweet in G10:
[4] interesting,thing [4] thing,#politikus [4] #politikus,addition [4] addition,running [4] running,standard [4] standard,algorithms [4] algorithms,single [4] single,data [4] data,standard [3] unodc_seap,gdsteam Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: