The graph represents a network of 968 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, 18 January 2022 at 06:32 UTC.
The requested start date was Tuesday, 18 January 2022 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, 20-hour, 5-minute period from Tuesday, 04 January 2022 at 02:40 UTC to Monday, 17 January 2022 at 22:45 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 : 968
Unique Edges : 741
Edges With Duplicates : 1866
Total Edges : 2607
Number of Edge Types : 5
Retweet : 623
MentionsInRetweet : 920
Replies to : 248
Mentions : 622
Tweet : 194
Self-Loops : 217
Reciprocated Vertex Pair Ratio : 0.0531746031746032
Reciprocated Edge Ratio : 0.100979653353429
Connected Components : 115
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 783
Maximum Edges in a Connected Component : 2390
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.716342
Graph Density : 0.00141765022605485
Modularity : 0.387696
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 968 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, 18 January 2022 at 06:32 UTC.
The requested start date was Tuesday, 18 January 2022 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, 20-hour, 5-minute period from Tuesday, 04 January 2022 at 02:40 UTC to Monday, 17 January 2022 at 22:45 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:
[216] try,something [216] something,today [207] neo4j,try [181] data,set [164] today,explore [141] easy,started [129] set,#graphdatabase [128] #graphdatabase,sandbox [127] #panamapapers,data [127] sandbox,easy Top Word Pairs in Tweet in G1:
[201] try,something [201] something,today [192] neo4j,try [171] data,set [161] today,explore [139] easy,started [126] set,#graphdatabase [125] #graphdatabase,sandbox [125] sandbox,easy [124] explore,#panamapapers Top Word Pairs in Tweet in G2:
[15] january,2022 [15] 2022,newsletter [15] newsletter,upcoming [15] upcoming,events [15] events,probabilistic [15] probabilistic,programming [15] programming,pymc_devs [15] pymc_devs,github [15] github,actions [15] actions,event Top Word Pairs in Tweet in G3:
[26] neo4j,amyhodler [26] amyhodler,markhneedham [25] brilliant,book [25] book,graph [25] graph,algorithms [25] algorithms,practical [25] practical,examples [25] examples,#apachespark [25] #apachespark,neo4j [23] kirkdborne,brilliant Top Word Pairs in Tweet in G4:
[10] google,cloud [10] vertex,ai [9] use,graphs [9] graphs,smarter [9] smarter,ai [9] ai,neo4j [9] neo4j,google [9] cloud,vertex [4] industrial,industrial [3] neo4j,cypher Top Word Pairs in Tweet in G5:
[15] medium,sized [14] maintaining,medium [14] library,2022 [14] 2022,beyond [12] sized,#java [12] #java,library [12] beyond,insightful [12] insightful,guide [12] guide,rotnroll666 [12] rotnroll666,experiences Top Word Pairs in Tweet in G6:
[22] neo4j,apache [15] apache,arrow [13] data,neo4j [12] optimize,fetching [12] fetching,data [10] neo4j,optimize [10] arrow,tb_tomaz [10] tb_tomaz,high [10] high,performance [10] performance,data Top Word Pairs in Tweet in G7:
[5] tailwindcss,reactjs [5] reactjs,nodejs [5] nodejs,nestframework [5] nestframework,nextjs [5] nextjs,remix_run [4] remix_run,mongodb [4] mongodb,neo4j [3] neo4j,gitlab [2] gitlab,aws [2] ci,cd Top Word Pairs in Tweet in G8:
[2] neo4j,slow [2] slow,researchers [2] researchers,uc [2] uc,merced [2] merced,discovered [2] discovered,results [2] results,show [2] show,tigergraph [2] tigergraph,consistently [2] entire,neo4j Top Word Pairs in Tweet in G9:
[5] graphs,smarter [5] smarter,ai [5] ai,neo4j [5] neo4j,google [5] google,cloud [5] cloud,vertex [5] vertex,ai [4] data,science [3] machine,learning [3] ai,yes Top Word Pairs in Tweet in G10:
[12] neo4j,try [12] try,something [12] something,today [6] data,set [6] today,spin [6] spin,#neo4j [6] #neo4j,instance [6] instance,cloud [6] cloud,start [6] start,querying Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: