Bibliographic record
Abstract
Online Social Networks (OSNs) are taking the world by storm and are urging the development of a new type of ad hoc networks that is Vehicular Social Networks (VSNs). The inclusion of social networks within vehicles has attracted researchers to devise social aware routing protocols and architectures in order to build vehicular social communities and to facilitate human interaction between commuters on the road. However, several issues defy the purpose of VSNs. This paper presents an analysis of the relevant work published in this growing new field, as well as an extension of our research work that tackles the problem of data dissemination in VSNs. We first summarize vehicular social architectures. Then we examine the main social properties of VANET drivers that contribute in the design of socially aware routing algorithms. Moreover, we discuss the open research challenges including privacy concerns. Finally, we present SocialDrive, an online social aware publish/subscribe strategy for vehicles transiting in platoons. We evaluate its performance and we show that it improves the quality of real time communication between commuters in dense networks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".