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Optimizing Spread of Influence in Weighted Social Networks via Partial Incentives [article]

Gennaro Cordasco, Luisa Gargano, Adele A. Rescigno, Ugo Vaccaro
2015 arXiv   pre-print
A widely studied process of influence diffusion in social networks posits that the dynamics of influence diffusion evolves as follows: Given a graph G=(V,E), representing the network, initially only the  ...  to initially influence node v, and the algorithmic problem is to find a set of nodes of minimum total cost that influences the whole network; successively, we study the consequences of giving incentives  ...  Related Works The algorithmic problems we have articulated have roots in the general study of the spread of influence in Social Networks (see [8, 21] and references quoted therein).  ... 
arXiv:1512.06372v1 fatcat:o57vzudwmfehzluua5ekdd42ca

Budget Allocation for Maximizing Viral Advertising in Social Networks

Bo-Lei Zhang, Zhu-Zhong Qian, Wen-Zhong Li, Bin Tang, Sang-Lu Lu, Xiaoming Fu
2016 Journal of Computer Science and Technology  
In this paper, we study optimal budget allocation in social networks to maximize the spread of viral advertising.  ...  Viral advertising in social networks has arisen as one of the most promising ways to increase brand awareness and product sales.  ...  In [4] , Demaine et al. proposed partial incentives in social networks to influence people.  ... 
doi:10.1007/s11390-016-1661-3 fatcat:qq42trnujnfp3hxksx4rmp7iqy

Challenges of social cognitive network science: network science collaborative technology alliance perspective

Keryl Ann Cosenzo, Boleslaw Karol Szymanski
2013 2013 IEEE 2nd Network Science Workshop (NSW)  
The review of the progress and current status of research of the center provide state-of-the-art view of the relevant areas of social cognitive network science.  ...  This paper reviews challenges and summarize the progress accomplished by the Social Cognitive Networks Academic Research Center of the Network Science Collaborative Technology Alliance.  ...  methods, that uncover the role of individual-level social drivers and mechanisms in understanding macro-level behavior of the system including opinion spreading and influencing in social networks; and  ... 
doi:10.1109/nsw.2013.6609207 dblp:conf/nsw/CosenzoS13 fatcat:jdbhqsg7ubbxdl7rntjkrgvjbq

Pricing Strategies for Maximizing Viral Advertising in Social Networks [chapter]

Bolei Zhang, Zhuzhong Qian, Wenzhong Li, Sanglu Lu
2015 Lecture Notes in Computer Science  
The advertising usually starts from a set of initial adopters and spreads via social links to become viral.  ...  Viral advertising in social networks is playing an important role for the promotions of new products, ideas and innovations.  ...  Acknowledgment This work is partially supported by NSFC Grants  ... 
doi:10.1007/978-3-319-18123-3_25 fatcat:mr5qbfpjxfg4ppkfabrp7hgnpa

Table of Contents

2021 IEEE Transactions on Network Science and Engineering  
Wei 1542 A Local-Global Influence Indicator Based Constrained Evolutionary Algorithm for Budgeted Influence Maximization in Social Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Su 1828 Design and Analysis of Network Behaviors for Optimizing Network Energy Efficiency in 5G Mmwave Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tnse.2021.3063959 fatcat:gsx7gl6eezcjlauapp2gxpbp5u

Table of Contents

2021 IEEE Transactions on Network Science and Engineering  
Ding 231 Model-Free Event-Triggered Optimal Consensus Control of Multiple Euler-Lagrange Systems via Reinforcement Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Xiong 529 Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tnse.2021.3059332 fatcat:37r66lkajjhbhai6nbfaxsxcza

A Polyhedral Approach to Least Cost Influence Maximization in Social Networks [article]

Cheng-Lung Chen, Eduardo Pasiliao, Vladimir Boginski
2022 arXiv   pre-print
The least cost influence maximization problem aims to determine minimum cost of partial (e.g., monetary) incentives initially given to the influential spreaders on a social network, so that these early  ...  We illustrate the effectiveness of these inequalities via a delayed cut generation algorithm in the computational experiments.  ...  Preliminary results of this study were presented at the 9th International Conference on Computational Data and Social Networks (CSoNet 2020, December 11-13, 2020, Dallas, TX) and published in the respective  ... 
arXiv:2205.01274v1 fatcat:pxcvbipq2rhcnn37zk26hop3wi

The Impact of Information Diffusion on Bidding Behavior in Secret Reserve Price Auctions

Oliver Hinz, Martin Spann
2008 Information systems research  
T he interactive nature of the Internet promotes collaborative business models (e.g., auctions) and facilitates information-sharing via social networks.  ...  Bidders have strong incentives to learn more about the secret reserve price in these auctions, thereby relying on their own network of friends or digital networks of users with similar interests and information  ...  This research is supported by the German Federal Ministry of Education and Research under Grant No. 01AK706A.  ... 
doi:10.1287/isre.1080.0190 fatcat:2kevqx4tiff35mdv3ley5gn7ye

Exploring Arsenic danger awareness in the Polish Copper Basin via network simulation - preliminary results [article]

Andrzej Buda, Andrzej Jarynowski
2016 arXiv   pre-print
Information spread plays crucial role in risk management in case of environmental danger. The structure of local society may be well described by social network analysis.  ...  that leads to a partial social awareness, available to a small number of people only.  ...  optimal for social movements.  ... 
arXiv:1606.06116v1 fatcat:56xowibd4ne5rjr3do4n6y2eii

Fake News in Social Networks

Christoph Aymanns, Jakob Foerster, Co-Pierre Georg
2017 Social Science Research Network  
Hence, exposing agents to the possibility of fake news can be an effective way to curtail the spread of fake news in social networks.  ...  We model the spread of news as a social learning game on a network. Agents can either endorse or oppose a claim made in a piece of news, which itself may be either true or false.  ...  The main technical innovation of our paper is to optimize the behavior of agents in a social network via multi-agent deep reinforcement learning.  ... 
doi:10.2139/ssrn.3023320 fatcat:3ys63t3upzgfvjpjeitfq3msri

Impacts of subsidy policies on vaccination decisions in contact networks

Hai-Feng Zhang, Zhi-Xi Wu, Xiao-Ke Xu, Michael Small, Lin Wang, Bing-Hong Wang
2013 Physical Review E  
However, an interesting phenomenon emerges in the partial-offset scenario: with limited amount of total subsidy, a moderate subsidy rate for each vaccinated individual can guarantee the group-optimal vaccination  ...  , leading to the maximal social benefits, while such an optimal phenomenon is not evident for the free subsidy scenario.  ...  incentive.  ... 
doi:10.1103/physreve.88.012813 pmid:23944524 fatcat:qmabaalioff7bonoysmhbwq6w4

Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction [article]

Shiqing Wu, Weihua Li, Hao Shen, Quan Bai
2021 arXiv   pre-print
In this light, we intend to utilize social influence existing among users to enhance the effect of incentivization.  ...  Through incentivizing influential users directly, their followers in the social network are possibly incentivized indirectly.  ...  Namely, if we can appropriately incentivize some influential users in a social network, it is possible to affect users' behaviors indirectly via social influence.  ... 
arXiv:2107.05992v2 fatcat:mxv4qytfzbep3jfsireardojb4

Bring a friend! Privately or Publicly? [article]

Elias Carroni and Paolo Pin and Simone Righi
2018 arXiv   pre-print
The seller faces a partially uninformed population of consumers, interconnected through a directed social network.  ...  In the network, the seller offers rewards to informed consumers (influencers) conditional on inducing purchases by uninformed consumers (influenced).  ...  On the other hand, it increases the information spread by influencers for fixed incentives.  ... 
arXiv:1807.01994v2 fatcat:dasfabs6uzgphbmlh2vwcv74va

An agent-based modeling optimization approach for understanding behavior of engineered complex adaptive systems

Moeed Haghnevis, Ronald G. Askin, Dieter Armbruster
2016 Socio-Economic Planning Sciences  
The approach integrates social networks, social science, complex systems, and diffusion theory into a consumer-based optimization and agent-based modeling (ABM) platform.  ...  present a formal agent-based modeling (ABM) platform that enables managers to predict and partially control patterns of behaviors in certain engineered complex adaptive systems (ECASs).  ...  Emergence in behaviors may also result from social network influences. This micro optimized emergence in the lower level causes optimized evolution in the higher level of the system.  ... 
doi:10.1016/j.seps.2016.04.003 fatcat:r2kuak3kpvh5rprvv3y2zsx77q

Data Driven Modeling of Continuous Time Information Diffusion in Social Networks

Liang Liu, Bin Chen, Bo Qu, Lingnan He, Xiaogang Qiu
2017 2017 IEEE Second International Conference on Data Science in Cyberspace (DSC)  
One specific problem is influence maximization problem in online social networks, which maximize the result of information diffusion process.  ...  Before data dissemination emerges in the research of mobile social networks, routing protocol of finding efficient routing path in mobile social networks was the focus, which later became the pavement  ...  In this proposal, we study information spread in social networks. Specifically, our study is based on two kinds of social networks.  ... 
doi:10.1109/dsc.2017.103 dblp:conf/dsc/LiuCQHQ17 fatcat:i2xrapht2fblxbhu3rwt4g2b2y
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