Spread, Then Target, and Advertise in Waves: Optimal Budget Allocation Across Advertising Channels

Autor: Qing Zhao, Victor M. Preciado, Saswati Sarkar, Ananthram Swami, Santosh S. Venkatesh, Raissa M. D'Souza, Soheil Eshghi

Publikováno v: IEEE Transactions on Network Science and Engineering. 7:750-763

We analyze optimal strategies for the allocation of a finite budget that can be invested in different advertising channels over time with the objective of influencing social opinions in a network of individuals. In our analysis, we consider both exog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b711ae6e4fa52640cda5a3276e509a05
https://doi.org/10.1109/tnse.2018.2873281

Distributed Algorithms for Multi-Layer Connected Edge Dominating Sets

Autor: Dimitrios Katsaros, Dimitrios Papakostas, Soheil Eshghi, Leandros Tassiulas

Publikováno v: IEEE Control Systems Letters. 3:31-36

Monitoring the state of communications in a distributed multilayer network with differing node capabilities requires the maintenance of a backbone which is a connected edge dominating set. In this letter, we present distributed algorithms that can ef

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::efe2e668cf6b2efe64960b80cf25a45e
https://doi.org/10.1109/lcsys.2018.2850921

Visibility-Aware Optimal Contagion of Malware Epidemics

Autor: Santosh S. Venkatesh, Soheil Eshghi, Saswati Sarkar

Publikováno v: IEEE Transactions on Automatic Control. 62:5205-5212

Recent innovations in the design of computer viruses have led to new trade-offs for the attacker. Multiple variants of a malware may spread at different rates and have different levels of visibility to the network. In this work we examine the optimal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eead6244d99d9a24e53e85d025d28de
https://doi.org/10.1109/tac.2016.2632426

Efficient Influence Maximization Under Network Uncertainty

Autor: Soheil Eshghi, Leandros Tassiulas, Sebastian Stein, Setareh Maghsudi, Valerio Restocchi

Publikováno v: INFOCOM Workshops
Eshgi, S, Maghsudi, S, Restocchi, V, Stein, S & Tassiulas, L 2019, Efficient Influence Maximization Under Network Uncertainty . in IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) . Institute of Electrical and Electronics Engineers (IEEE), Paris, France, pp. 365-371, The First IEEE INFOCOM Workshop on the Communications and Networking Aspects of Online Social Networks (CAOS’19), Paris, France, 29/04/19 . https://doi.org/10.1109/INFCOMW.2019.8845088

We consider the influence maximization (IM) problem in a partially visible social network. The goal is to design a decision-making framework for an autonomous agent to select a limited set of influential seed nodes to spread a message as widely as po

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de2b2401562b6c5104e9860b99e1b36e
https://doi.org/10.1109/infcomw.2019.8845088

Optimal Patching in Clustered Malware Epidemics

Autor: Mhr. Khouzani, Soheil Eshghi, Santosh S. Venkatesh, Saswati Sarkar

Publikováno v: IEEE/ACM Transactions on Networking. 24:283-298

Studies on the propagation of malware in mobile networks have revealed that the spread of malware can be highly inhomogeneous. Platform diversity, contact list utilization by the malware, clustering in the network structure, etc. can also lead to dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03e0e3a1edb4d05314c8c31037901793
https://doi.org/10.1109/tnet.2014.2364034