Results 51 to 60 of about 6,507,474 (284)
تحلیل مدارها، داده ها و سامانه ها, 2023 Nowadays, online social networks have an inseparable connection with the daily life of many people in the world. The applications of social networks are increasing in businesses for advertising, marketing, and recommender systems, as well as in resource ...
Sohameh Mohammadi +3 more
doaj
Efficient Similarity-Aware Influence Maximization in Geo-Social Network [PDF]
, 2022 With the explosion of GPS-enabled smartphones and social media platforms, geo-social networks are increasing as tools for businesses to promote their products or services. Influence maximization, which aims to maximize the expected spread of influence in
Chen, Xuanhao +11 more
core +1 more source
A new method for maximizing influence on social networks based on node membership in communities [PDF]
Network Biology, 2020 Influence maximization is one of the fundamental issues in social networks context. In viral marketing which is one of applications of this category, a small group of users are selected to accept a product and influence of these users on other people ...
Esmaeil Bagheri
doaj
Maximizing Multifaceted Network Influence
2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019 An information dissemination campaign is often multifaceted, involving several facets or pieces of information disseminating from different sources. The question then arises, how should we assign such pieces to eligible sources so as to achieve the best viral dissemination results?
Yuchen Li 0001 +3 more
openaire +5 more sources
Budgeted Online Influence Maximization
, 2020 37th International Conference on Machine Learning (ICML 2020), 28 ...
Perrault, Pierre +3 more
openaire +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source
Influence Maximization with Fairness at Scale
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023 In this paper, we revisit the problem of influence maximization with fairness, which aims to select k influential nodes to maximise the spread of information in a network, while ensuring that selected sensitive user attributes (e.g., gender, location, origin, race, etc.) are fairly affected, i.e., are proportionally similar between the original network
Yuting Feng +3 more
openaire +5 more sources
Topic-based Influence Maximization in Presence of Competitors
, 2023 reservedInfluence Maximization (IM) has attracted significant attention due to its widespread applications, such as viral marketing and rumor control. In real-world social networks, users have their own interests (which can be represented as topics) and ...
MODARESI, SEYEDMOHAMADJAVAD
core
Community-based influence maximization in location-based social network
, 2021 Influence maximization, as one of the major problems in Location-based Social Networks (LBSN), aims to determine a subset of influential users to maximize the influence spread through the “word-of-mouth” effect.
Chen, Xuanhao +9 more
core +1 more source
Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham +7 more
wiley +1 more source