The graph represents a network of 1,832 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, 12 October 2021 at 05:26 UTC.
The requested start date was Tuesday, 12 October 2021 at 00:01 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, 22-hour, 35-minute period from Tuesday, 28 September 2021 at 00:22 UTC to Monday, 11 October 2021 at 22:57 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 : 1832
Unique Edges : 1346
Edges With Duplicates : 4683
Total Edges : 6029
Number of Edge Types : 5
Replies to : 379
Retweet : 1832
MentionsInRetweet : 2446
Mentions : 1066
Tweet : 306
Self-Loops : 327
Reciprocated Vertex Pair Ratio : 0.0300891530460624
Reciprocated Edge Ratio : 0.0584204832311576
Connected Components : 158
Single-Vertex Connected Components : 112
Maximum Vertices in a Connected Component : 1614
Maximum Edges in a Connected Component : 5799
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.974632
Graph Density : 0.000826677382965378
Modularity : 0.343106
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,832 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, 12 October 2021 at 05:26 UTC.
The requested start date was Tuesday, 12 October 2021 at 00:01 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, 22-hour, 35-minute period from Tuesday, 28 September 2021 at 00:22 UTC to Monday, 11 October 2021 at 22:57 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:
[692] try,something [691] something,today [678] neo4j,try [541] data,set [532] today,explore [430] easy,started [390] explore,#panamapapers [388] set,#graphdatabase [388] #graphdatabase,sandbox [387] #panamapapers,data Top Word Pairs in Tweet in G1:
[552] try,something [552] something,today [543] neo4j,try [471] today,explore [462] data,set [393] easy,started [360] set,#graphdatabase [359] #graphdatabase,sandbox [359] sandbox,easy [359] explore,#panamapapers Top Word Pairs in Tweet in G2:
[75] alexandererdl,ellazal [43] neo4j,alexandererdl [38] aura,free [37] discover,#neo4j [37] #neo4j,aura [33] link,prediction [32] neo4j,miss [32] episode,discover [32] free,alexandererdl [32] ellazal,catch Top Word Pairs in Tweet in G3:
[28] technology,stack [26] neo4j,#fincenfiles [26] #fincenfiles,latest [26] latest,exposition [26] exposition,icijorg [26] icijorg,vast [26] vast,network [26] network,industrial [26] industrial,scale [26] scale,money Top Word Pairs in Tweet in G4:
[304] #neo4j,#learning [304] #learning,#dataanalytics [207] #dataanalytics,#machinelearning [189] #machinelearning,#bigdata [128] 15,healthy [128] healthy,low [128] low,carb [128] carb,food [128] food,finds [128] finds,#neo4j Top Word Pairs in Tweet in G5:
[16] neo4j,cypher [15] cypher,neo4j [11] truth,behind [11] behind,neo4j [11] neo4j,trillion [11] trillion,relationship [11] relationship,graph [8] neo4j,graph [7] data,science [7] graph,algorithms Top Word Pairs in Tweet in G6:
[34] jaguar,land [34] graph,database [24] learn,jaguar [24] land,rover's [24] rover's,trials [24] trials,tribulations [24] tribulations,path [24] path,tigergraph [24] tigergraph,graph [24] database,scale Top Word Pairs in Tweet in G7:
[7] moodewji,peterhotez [7] peterhotez,ogeisimo [7] ogeisimo,peterhotez [7] neo4j,fgdewji [7] fgdewji,sylviaduckworth [7] sylviaduckworth,drdaltonsmith [7] neo4j,openlink [6] mutazalsabah,kalrasadi [6] kalrasadi,dr_i3rahimsaleh [6] dr_i3rahimsaleh,almuftifawaz Top Word Pairs in Tweet in G8:
[59] october,learning [59] learning,fest [59] fest,looking [59] looking,authentic [59] authentic,resources [59] resources,learn [59] learn,tech [59] tech,curated [59] curated,list [58] swapnakpanda,october Top Word Pairs in Tweet in G9:
[79] neo4j,try [79] try,something [79] something,today [35] today,spin [35] spin,#neo4j [35] #neo4j,instance [35] instance,cloud [35] cloud,start [35] start,querying [35] querying,graphql Top Word Pairs in Tweet in G10:
[11] yworks,ag_grid [9] #lowcode,#nocode [8] machine,machine [8] machine,interactions [8] interactions,neo4j [8] neo4j,stores [8] stores,graphileon [8] graphileon,offers [8] offers,easy [8] easy,use 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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Top Tweeters in G10: