scholarly journals Positional analysis in cross-media information diffusion networks

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Tobias Hecking ◽  
Laura Steinert ◽  
Victor H. Masias ◽  
H. Ulrich Hoppe
Keyword(s):  
Information Diffusion ◽  
Positional Analysis ◽  
Cross Media ◽  
Diffusion Networks

Comparison of influence metrics in information diffusion networks

2011 ◽  
Author(s):  
Vanesa Junquero-Trabado ◽  
Nuria Trench-Ribes ◽  
Miquel Angel Aguila-Lorente ◽  
David Dominguez-Sal
Keyword(s):  
Information Diffusion ◽  
Diffusion Networks

Reconstructing spatial information diffusion networks with heterogeneous agents and text contents

2021 ◽  
Author(s):  
Xinyue Ye ◽  
Wenbo Wang ◽  
Xiaoqi Zhang ◽  
Zhenglong Li ◽  
Dantong Yu ◽  
...  
Keyword(s):  
Information Diffusion ◽  
Heterogeneous Agents ◽  
Spatial Information ◽  
Diffusion Networks

scholarly journals Building and experimenting with an agent-based model to study the population-level impact of CommunityRx, a clinic-based community resource referral intervention

2021 ◽  
Vol 17 (10) ◽  
pp. e1009471
Author(s):  
Stacy Tessler Lindau ◽  
Jennifer A. Makelarski ◽  
Chaitanya Kaligotla ◽  
Emily M. Abramsohn ◽  
David G. Beiser ◽  
...  
Keyword(s):  
In Silico ◽  
Information Diffusion ◽  
Large Scale ◽  
Model Building ◽  
Population Level ◽  
Community Resource ◽  
Agent Based ◽  
Resource Information ◽  
Information Spread ◽  
Diffusion Networks

CommunityRx (CRx), an information technology intervention, provides patients with a personalized list of healthful community resources (HealtheRx). In repeated clinical studies, nearly half of those who received clinical “doses” of the HealtheRx shared their information with others (“social doses”). Clinical trial design cannot fully capture the impact of information diffusion, which can act as a force multiplier for the intervention. Furthermore, experimentation is needed to understand how intervention delivery can optimize social spread under varying circumstances. To study information diffusion from CRx under varying conditions, we built an agent-based model (ABM). This study describes the model building process and illustrates how an ABM provides insight about information diffusion through in silico experimentation. To build the ABM, we constructed a synthetic population (“agents”) using publicly-available data sources. Using clinical trial data, we developed empirically-informed processes simulating agent activities, resource knowledge evolution and information sharing. Using RepastHPC and chiSIM software, we replicated the intervention in silico, simulated information diffusion processes, and generated emergent information diffusion networks. The CRx ABM was calibrated using empirical data to replicate the CRx intervention in silico. We used the ABM to quantify information spread via social versus clinical dosing then conducted information diffusion experiments, comparing the social dosing effect of the intervention when delivered by physicians, nurses or clinical clerks. The synthetic population (N = 802,191) exhibited diverse behavioral characteristics, including activity and knowledge evolution patterns. In silico delivery of the intervention was replicated with high fidelity. Large-scale information diffusion networks emerged among agents exchanging resource information. Varying the propensity for information exchange resulted in networks with different topological characteristics. Community resource information spread via social dosing was nearly 4 fold that from clinical dosing alone and did not vary by delivery mode. This study, using CRx as an example, demonstrates the process of building and experimenting with an ABM to study information diffusion from, and the population-level impact of, a clinical information-based intervention. While the focus of the CRx ABM is to recreate the CRx intervention in silico, the general process of model building, and computational experimentation presented is generalizable to other large-scale ABMs of information diffusion.

Media-mix japonés: funcionamiento y posibilidades

Neuróptica ◽  
2020 ◽  
pp. 249-252
Author(s):  
Julia Rigual Mur
Keyword(s):  
Cross Media ◽  
Media Mix

Reseña del libro: HERNÁNDEZ PÉREZ, M., Manga, anime y videojuegos. Narrativa cross-media japonesa, Zaragoza, Prensas Universitarias de Zaragoza, 2017.

Cross-Media Retrieval Method Based on Content Correlations

2009 ◽  
Vol 31 (5) ◽  
pp. 820-826 ◽  
Author(s):  
Hong ZHANG ◽  
Fei WU ◽  
Yue-Ting ZHUANG ◽  
Jian-Xun CHEN
Keyword(s):  
Retrieval Method ◽  
Cross Media
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