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Information propagation in social rating networks

Priyanka Garg, Irwin King, Michael R. Lyu
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
The polarity of opinion is a crucial part of information and ignoring the asymmetry between them, can potentially result in an inaccurate estimation of the number of product adoptions and incorrect recommendations  ...  To account for the asymmetry between the two kind of opinions, we propose extensions of the two most popular information propagation models, Independent Cascade and Linear Threshold models.  ...  Motivated by above observations, we propose polarity sensitive extensions of both IC and LT to model the flow of information in social rating networks.  ... 
doi:10.1145/2396761.2398620 dblp:conf/cikm/GargKL12 fatcat:hszysggtzbgftkc7wfhnxordum

Identifying Influential Rumor Spreader in Social Network

Ruixia Zhang, Deyu Li
2019 Discrete Dynamics in Nature and Society  
In this paper, on four real social networks, based on the classical rumor model and combining one-to-many modes of propagation, we investigate the rumor propagation by Monte Carlo simulations when the  ...  spreading rate is small.  ...  Because we consider the rules of rumor propagation in real social networks, the simulation results indicate the existence of influential rumor spreaders in real social networks.  ... 
doi:10.1155/2019/8938195 fatcat:3fnxovju3zexnh76egtzvbrive

The Influence of Network Public Opinion on Audit Credibility: A Dynamic Rumor Propagation Model Based on User Weight

Lin Zhu, Jinyu Li, Luyi Bai
2022 Information  
As users of social networks are not online 24 h a day, and their network behaviors are dynamic, in this study, we constructed a dynamic rumor-spreading model.  ...  Because the influence and authority of different user nodes in the network are different, we added user weights to the rumor propagation model, and finally, we established a dynamic rumor propagation model  ...  The state transition rules are shown in Figure 2 . Information 2022, 13, 90 4 of 13 spreading rumors on online social networking platforms.  ... 
doi:10.3390/info13020090 fatcat:oexbtgvrt5cm3dxbhhxcaidkha

A study on the influential neighbors to maximize information diffusion in online social networks

Hyoungshick Kim, Konstantin Beznosov, Eiko Yoneki
2015 Computational Social Networks  
Our experimental results show that information can be efficiently propagated in online social networks using neighbors with a high propagation rate rather than those with a high number of neighbors.  ...  To examine the importance of using real propagation rates, we additionally performed an experiment under the same conditions except the use of synthetic propagation rates, which is widely used in studying  ...  Clearly, in the most popular online social network services such as Twitter or Facebook, each user has a different propagation rate for her neighbors on spreading information in a network according to  ... 
doi:10.1186/s40649-015-0013-8 fatcat:bo2czzxxj5fdjn3zobermhtham

Classification of Message Spreading in a Heterogeneous Social Network [chapter]

Siwar Jendoubi, Arnaud Martin, Ludovic Liétard, Boutheina Ben Yaghlane
2014 Communications in Computer and Information Science  
However, in the real world, social networks offer several types of nodes and links.  ...  Most existing research works fo-cus on the analysis of homogeneous social networks, i.e. we have a single type of node and link in the network.  ...  Propagation algorithm in a heterogeneous social network In this section we introduce an algorithm of information propagation in a heterogeneous social network.  ... 
doi:10.1007/978-3-319-08855-6_8 fatcat:k24to3ogr5evzhf2x47ml3ugji

Research on Information Propagation Model in Social Network Based on BlockChain

Yan Zhao, Sheng Bin, Gengxin Sun, Ya Jia
2022 Discrete Dynamics in Nature and Society  
The unique consensus mechanism and incentive mechanism of blockchain technology makes the law of information propagation in the new social network different from that in the traditional social network.  ...  Using the model in this paper to analyse the information propagation of blockchain social networks can effectively inhibit the propagation of inferior information and further build a good network public  ...  Acknowledgments is work was supported by a grant from Humanities and Social Science Project of Ministry of Education of China (no. 21YJA860001).  ... 
doi:10.1155/2022/7562848 fatcat:lfpqu65vs5b4hhbiz22iqbgcvq

A Study on the Influential Neighbors to Maximize Information Diffusion in Online Social Networks

Hyoungshick Kim, Konstantin Beznosov, Eiko Yoneki
2015 Zenodo  
Our experimental results show that information can be efficiently propagated in online social networks using neighbors with a high propagation rate rather than those with a high number of neighbors.  ...  To examine the importance of using real propagation rates, we additionally performed an experiment under the same conditions except the use of synthetic propagation rates, which is widely used in studying  ...  Clearly, in the most popular online social network services such as Twitter or Facebook, each user has a different propagation rate for her neighbors on spreading information in a network according to  ... 
doi:10.5281/zenodo.3264698 fatcat:4qru2j4hxzekdexb366g24liae

Crowd-Sourcing Information Dissemination Based on Spatial Behavior and Social Networks

Yong Cheng, Nicola Bicocchi
2021 Mobile Information Systems  
At the same time, it analyzes the social influence of users in social networks and mode of information transmission.  ...  In the context of today's network era, rich social networks and convenient network communication make different individuals and groups interact and transmit information in more diversified ways, which  ...  Social networks can provide huge data and, however, social information on social networks is not catching the changes in the entire network over time [24] .  ... 
doi:10.1155/2021/6652740 fatcat:qnpzsq5yfbgsnpac6r3lj56d3y

Study on Missing People Search Method on Follow-up of Breast Cancer Cohort

Yang Guangcheng, Su Xiao, Boran Wang, Wang Ying, Chang Fei, Wang Rui
2021 Procedia Computer Science  
Based on the idea of social network information propagation, we propose a propagation contribution-driven missing people search mechanism (MPSM).  ...  MPSM exploits social networks to gather information from users and then dynamically evaluates the ability of users to help find missing people Using the two most complete and widely used data sets of social  ...  It uses the advantage of social networks in information propagation to efficiently solve the SMP problem; a propagation model is constructed on the basis of the propagation contribution of nodes, considering  ... 
doi:10.1016/j.procs.2021.04.101 fatcat:zkp6mxuehrbpvdemphs5dyydtq

A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information

Yonghong Yu, Weiwen Qian, Li Zhang, Rong Gao
2022 Sensors  
Social-network-based recommendation algorithms leverage rich social network information to alleviate the problem of data sparsity and boost the recommendation performance.  ...  In this paper, we propose a graph neural network (GNN)-based social recommendation model that utilizes the GNN framework to capture high-order collaborative signals in the process of learning the latent  ...  Problem Definition In this paper, we focus on social-network-based recommendation with explicit rating information.  ... 
doi:10.3390/s22197122 fatcat:u6bscs5blfdnxo3rool5tjqe3y

Do Social Networks Solve Information Problems for Peer-to-Peer Lending? Evidence from Prosper.com

Seth Freedman, Ginger Zhe Jin
2008 Social Science Research Network  
By applying information retrieval techniques, we map nodes in the social network to nodes in the technological network to construct the composite network of the organization.  ...  We utilize a novel information retrieval technique to map nodes in the social network to nodes in the technological network to construct the composite network of the organization.  ...  A better understanding of when computer virus epidemics take off, when it reaches its equilibrium, and the scales in its propagation help information security managers make more informed responses as well  ... 
doi:10.2139/ssrn.1936057 fatcat:me4mj7fbojb37gukk5tyyfjeyi

Do Social Networks Solve Information Problems for Peer-to-Peer Lending? Evidence from Prosper.Com

Seth Freedman, Ginger Zhe Jin
2008 Social Science Research Network  
By applying information retrieval techniques, we map nodes in the social network to nodes in the technological network to construct the composite network of the organization.  ...  We utilize a novel information retrieval technique to map nodes in the social network to nodes in the technological network to construct the composite network of the organization.  ...  A better understanding of when computer virus epidemics take off, when it reaches its equilibrium, and the scales in its propagation help information security managers make more informed responses as well  ... 
doi:10.2139/ssrn.1304138 fatcat:yrnwckv2qrcrxezen5rhwawux4

Towards Exploring the Influence of Community Structures on Information Dissemination in Sina Weibo Networks

Zhiwei Zhang, Aidong Fang, Lin Cui, Zhenggao Pan, Wanli Zhang, Chengfang Tan, Chao Wang, Binxiang Dai
2021 Discrete Dynamics in Nature and Society  
The power of online social networks to propagate information within communities and from one community to the next is undeniable.  ...  However, they can also dynamically reshape the network topology of user's social relationship in this process.  ...  To investigate how inherent information propagation rates and the nonlinearity of online social networks affect rumor dissemination in scale-free social networks, Roshani and Naimi [26] proposed a general  ... 
doi:10.1155/2021/8325302 fatcat:k5omymsglbbm5gbg7mtm6xb6c4

Hashkat: large-scale simulations of online social networks

Kevin Ryczko, Adam Domurad, Nicholas Buhagiar, Isaac Tamblyn
2017 Social Network Analysis and Mining  
It allows for dynamic agent generation, edge creation, and information propagation. The purpose of hashkat is to study the growth of online social networks and how information flows within them.  ...  In general, hashkat can be used to understand the underlying topology of social networks, validate sampling methods of such networks, develop business strategy for advertising on online social networks  ...  Retweet preference A Retweet preference B Information propagates Information stagnates  ... 
doi:10.1007/s13278-017-0424-7 fatcat:tfvviujervg7vpxh4w6i22ysvu

Twitter Financial Community Modeling Using Agent Based Simulation

Steve Y. Yang, Anqi Liu, Sheung Yin K. Mo
2013 Social Science Research Network  
Using the data collected through the Twitter API, the model generates a dynamic community network with message propagation rates by different agent types.  ...  This paper presents an agent-based simulation framework to model the Twitter network growth and message propagation mechanism in the Twitter financial community.  ...  The spread of information through online social network is similar to the propagation of innovation through the network [9] .  ... 
doi:10.2139/ssrn.2358523 fatcat:s7ma6tljb5czjcplvello6q2vu
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