
This dataset was constructed as a small example of a graph mimicking an e-commerce site where people can also follow each others. The files here reported can be used to build a property graph in Neo4J: item.csv - contains the data for the Item nodes. person.csv - contains the data for the Person nodes. category.csv - contains the data for the Category nodes. follow.csv - contains the data for the FOLLOW relationships from Person to Person nodes. buy.csv - contains the data for the BUY relationships from Person to Item nodes. reccomend.csv - contains the data for the RECOMMEND relationship from Person to Item nodes. of.csv - contains the data for the OF relationship from Item to Category nodes. This data was used as motivating example dataset in the paper "MINE GRAPH RULE: A New GQL Operator for Mining Association Rules in Property Graph Databases".
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
