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Learning to correlate accounts across online social networks : an embedding-based approach

Zhou, Fan; Zhang, Kunpeng; Xie, Shuying; Luo, Xucheng - In: INFORMS journal on computing : JOC 32 (2020) 3, pp. 714-729

Persistent link: https://www.econbiz.de/10012294722

Learning in networks with idiosyncratic agents

Khandelwal, Vatsal - In: Games and economic behavior 144 (2024), pp. 225-249

Persistent link: https://www.econbiz.de/10014545393

Network effects on learning during emergency events

Hamra, Jafar; Wigand, Rolf T.; Hossain, Liaquat; Owen, … - In: Knowledge management research & practice : KMRP 12 (2014) 4, pp. 387-397

Persistent link: https://www.econbiz.de/10011629748

Gradient-based learning in recurrent networks

Hornik, Kurt; Kuan, Chung-ming - 1993

Persistent link: https://www.econbiz.de/10000880527

A learning network approach to community empowerment

Purdue, Derrick - In: Inside networks : a process view on …, (pp. 93-114). 2007

Persistent link: https://www.econbiz.de/10003504476

Social capital and learning advantages : a problem of absorptive capacity

Hughes, Matthew; Morgan, Robert; Ireland, R. Duane; … - In: Strategic entrepreneurship journal : SEJ 8 (2014) 3, pp. 214-233

Persistent link: https://www.econbiz.de/10010514693

Contagion and learning in business networks

Peters, Linda D.; Pressey, Andrew D.; Johnston, Wesley J. - In: Industrial marketing management : the international … 61 (2017), pp. 43-54

Persistent link: https://www.econbiz.de/10011704294

Network learning : episodes of interorganizational learning towards a collective performance goal

Gibb, Jenny; Sune, Albert; Albers, Sascha - In: European management journal 35 (2017) 1, pp. 15-25

Persistent link: https://www.econbiz.de/10011689518

Fake news in social networks

Aymanns, Christoph; Foerster, Jakob; Georg, Co-Pierre - 2017 - This draft: August 21, 2017

We model the spread of news as a social learning game on a network. Agents can either endorse or oppose a claim made in … neighbors' past actions. Given these inputs, agents follow strategies derived via multi-agent deep reinforcement learning and …

Persistent link: https://www.econbiz.de/10011906248

Learning faster or more precisely? : strategic experimentation in networks

Wuggenig, Mirjam - 2014

The paper analyzes a dynamic model of rational strategic learning in a network. It complements existing literature by … links. This means that in the design of networks there exists a trade-off between the speed of learning and accuracy. …

Persistent link: https://www.econbiz.de/10010441988

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