Results 41 to 50 of about 153,321 (300)
Online Influence Maximization (Extended Version) [PDF]
, 2015 Social networks are commonly used for marketing purposes. For example, free samples of a product can be given to a few influential social network users (or "seed nodes"), with the hope that they will convince their friends to buy it. One way to formalize
Cheng, Reynold +4 more
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Identifying and Ranking Influential Nodes in Complex Networks Based on Dynamic Node Strength
Algorithms, 2021 Identifying and ranking the node influence in complex networks is an important issue. It helps to understand the dynamics of spreading process for designing efficient strategies to hinder or accelerate information spreading.
Xu Li, Qiming Sun
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Convention emergence in partially observable topologies [PDF]
, 2017 In multi-agent systems it is often desirable for agents to adhere to standards of behaviour that minimise clashes and wasting of (limited) resources.
Griffiths, Nathan, Marchant, James M.
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A Novel Centrality of Influential Nodes Identification in Complex Networks
IEEE Access, 2020 Influential nodes identification in complex networks is vital for understanding and controlling the propagation process in complex networks. Some existing centrality measures ignore the impacts of neighbor node.
Yuanzhi Yang +4 more
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Human-Centric Cyber Social Computing Model for Hot-Event Detection and Propagation [PDF]
, 2019 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Microblogging networks have gained popularity in recent years as a platform enabling expressions of human ...
Ali, Haider +6 more
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Ranking influential spreaders is an ill-defined problem
, 2017 Finding influential spreaders of information and disease in networks is an important theoretical problem, and one of considerable recent interest. It has been almost exclusively formulated as a node-ranking problem -- methods for identifying influential ...
Gu, Jain +3 more
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Identifying Influential Nodes in Bipartite Networks Using the Clustering Coefficient
, 2014 The identification of influential nodes in complex network can be very challenging. If the network has a community structure, centrality measures may fail to identify the complete set of influential nodes, as the hubs and other central nodes of the ...
Liebig, J., Rao, A.
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MathematicsThe identification of influential nodes in complex networks modeling manufacturing environments is a critical aspect, especially when considering both structure and nodal attributes.
Maricela Fernanda Ormaza Morejón +1 more
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Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks
, 2018 Identifying influential nodes that can jointly trigger the maximum influence spread in networks is a fundamental problem in many applications such as viral marketing, online advertising, and disease control.
Lui, John C. S. +4 more
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Identifying influencers in a social network : the value of real referral data [PDF]
, 2016 Individuals influence each other through social interactions and marketers aim to leverage this interpersonal influence to attract new customers. It still remains a challenge to identify those customers in a social network that have the most influence on
Baecke, Philippe +2 more
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