Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Shaping Social Activity by Incentivizing Users
Authors: Mehrdad Farajtabar, Nan Du, Manuel Gomez Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
NeurIPS 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We experimented with event data gathered from Twitter, and show that our method can steer the activity of the network more accurately than alternatives.We also conducted experiments on a network of 60,000 Twitter users and more than 7,500,000 uses of a popular url shortening services. Using held-out data, we show that our algorithm can shape the network behavior much more accurately than alternatives. |
| Researcher Affiliation | Academia | Georgia Institute of Technology MPI for Software Systems Univ. Carlos III in Madrid EMAIL EMAIL EMAIL EMAIL |
| Pseudocode | Yes | Algorithm 1: Average Instantaneous Intensity, Algorithm 2: PGD for Activity Shaping |
| Open Source Code | No | No explicit statement about releasing source code or a link to a repository was found. |
| Open Datasets | Yes | We use data gathered from Twitter as reported in [27], which comprises of all public tweets posted by 60,000 users during a 8-month period, from January 2009 to September 2009. |
| Dataset Splits | No | We ο¬rst partition the 8-month data into 50 ο¬ve-day long contiguous intervals. Then, we use one interval for training and the remaining 49 intervals for testing. |
| Hardware Specification | No | No specific hardware details (like GPU/CPU models, memory) were mentioned for running the experiments. |
| Software Dependencies | No | No specific software dependencies with version numbers were mentioned for replicating the experiment. |
| Experiment Setup | Yes | We used a temporal resolution of one minute and selected the bandwidth Ο = 0.1 by cross validation. |