Name
Abstract | ||
|---|---|---|
Big Data rise made traditional data management techniques inadequate in many real life scenarios. In particular, the availability of huge amounts of data pertaining to user suggestions and searches calls for advanced analysis strategies in order to profitably leverage these data. Furthermore, heterogeneity and high speed of this data require suitable data storage and management tools to be designed from scratch. In this paper, we describe our proposal for analysing the way user searches and suggestions influence their social environment in order to quickly identify users able to spread their influence across the network. It is worth noting that, gathering information about user preferences is crucial in several scenarios like viral marketing, tourism promotion and food education. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/WETICE.2018.00038 | 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) |
Keywords | Field | DocType |
Influence Evaluation,Big Data,Social Network | Social environment,Data science,Viral marketing,Leverage (finance),Social network,Computer science,Computer data storage,Knowledge management,Tourism,Big data,Data management | Conference |
ISSN | ISBN | Citations |
1524-4547 | 978-1-5386-6917-4 | 1 |
PageRank | References | Authors |
0.38 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nunziato Cassavia | 1 | 15 | 8.23 |
| Elio Masciari | 2 | 332 | 46.45 |
| Chiara Pulice | 3 | 32 | 9.45 |
| Domenico Sacca | 4 | 1936 | 579.90 |
| Irina Trubitsyna | 5 | 119 | 24.66 |