Viral marketing for smart cities: Influencers in social network communities

M Kaple, K Kulkarni, K Potika - 2017 IEEE Third International …, 2017 - ieeexplore.ieee.org
Social networks are used by cities primarily for announcing local-area events, but also for
increasing engagement of citizens in votes and elections. Given the current plethora of …

Empirical analysis of the impact of top management team social networks on the homophily effect of ESG disclosure in companies

J Zhang, Z Liu - Sustainability, 2023 - mdpi.com
This study investigates the homophily effect in corporate information disclosure, specifically
focusing on executive social networks. We analyze data from 385 privately listed companies …

Multi-diffusion degree centrality measure to maximize the influence spread in the multilayer social networks

I Gaye, G Mendy, S Ouya, I Diop, D Seck - International Conference on e …, 2016 - Springer
In this work, we study the influence maximization in multilayer social networks. This problem
is to find a set of k persons, called seeds, that maximizes the information spread in a …

Hypercomplex moments application in invariant image recognition

VG Labunets, EV Labunets… - … Conference on Image …, 1998 - ieeexplore.ieee.org
Moment invariants have found many applications in pattern recognition. The main difficulty
in the application of moment invariants is their computation. The presented paper is devoted …

An approach to maximize the influence spread in the social networks

I Gaye, G Mendy, S Ouya, D Seck - Trends in Social Network Analysis …, 2017 - Springer
In this paper, we treat the influence maximization problem in social networks. In this work,
we attach importance to the initial diffusers called the seeds. The main goal is to find in a …

Competitive Influence Maximization on Online Social Networks under Cost Constraint

BL Chen, YY Sheng, M Ji, JW Liu, YT Yu… - KSII Transactions on …, 2021 - koreascience.kr
In online competitive social networks, each user can be influenced by different competing
influencers and consequently chooses different products. But their interest may change over …

Influence Diffusion Model in Multiplex Networks.

S Chen, W Tan - Computers, Materials & Continua, 2020 - search.ebscohost.com
The problem of influence maximizing in social networks refers to obtaining a set of nodes of
a specified size under a specific propagation model so that the aggregation of the node-set …

[PDF][PDF] A Survey: Models, Techniques and Applications of Influence Maximization Problem

Y Zheng - 2018 - researchgate.net
Influence maximization, defined by Kempe et al.[3] is a hot problem in the field of network
analysis. This problem is to target k users as seeds in a network G and then maximize the …

Influence Detection And Spread Estimation in Social Networks

M Kaple - 2017 - scholarworks.sjsu.edu
A social network is an online platform, where people communicate and share information
with each other. Popular social network features, which make them di erent from traditional …

[PDF][PDF] SJSU ScholarWorks

M Kaple - 2017 - academia.edu
A social network is an online platform, where people communicate and share information
with each other. Popular social network features, which make them different from traditional …