Personalization in personalized marketing: Trends and ways forward
In marketing, personalization is the action of designing and producing in ways that resonate
with customer preferences. Content and products that are personalized according to …
with customer preferences. Content and products that are personalized according to …
[HTML][HTML] The Internet of Things (IoT) in healthcare: Taking stock and moving forward
Recent improvements in the Internet of Things (IoT) have allowed healthcare to evolve
rapidly. This article summarizes previous studies on IoT applications in healthcare. A …
rapidly. This article summarizes previous studies on IoT applications in healthcare. A …
Map** the NFT revolution: market trends, trade networks, and visual features
Abstract Non Fungible Tokens (NFTs) are digital assets that represent objects like art,
collectible, and in-game items. They are traded online, often with cryptocurrency, and are …
collectible, and in-game items. They are traded online, often with cryptocurrency, and are …
[HTML][HTML] From Louvain to Leiden: guaranteeing well-connected communities
Community detection is often used to understand the structure of large and complex
networks. One of the most popular algorithms for uncovering community structure is the so …
networks. One of the most popular algorithms for uncovering community structure is the so …
Environmental stress destabilizes microbial networks
Environmental stress is increasing worldwide, yet we lack a clear picture of how stress
disrupts the stability of microbial communities and the ecosystem services they provide …
disrupts the stability of microbial communities and the ecosystem services they provide …
Asymmetric ideological segregation in exposure to political news on Facebook
Does Facebook enable ideological segregation in political news consumption? We
analyzed exposure to news during the US 2020 election using aggregated data for 208 …
analyzed exposure to news during the US 2020 election using aggregated data for 208 …
A comprehensive survey on community detection with deep learning
Detecting a community in a network is a matter of discerning the distinct features and
connections of a group of members that are different from those in other communities. The …
connections of a group of members that are different from those in other communities. The …
Community detection in networks: A user guide
Community detection in networks is one of the most popular topics of modern network
science. Communities, or clusters, are usually groups of vertices having higher probability of …
science. Communities, or clusters, are usually groups of vertices having higher probability of …
Blockchain applications in supply chains, transport and logistics: a systematic review of the literature
This paper presents current academic and industrial frontiers on blockchain application in
supply chain, logistics and transport management. We conduct a systematic review of the …
supply chain, logistics and transport management. We conduct a systematic review of the …
Green supply chain management: A review and bibliometric analysis
The emergent field of green supply chain management has been rapidly evolving with a
geometric growth in the number of academic publications in this field. A number of literature …
geometric growth in the number of academic publications in this field. A number of literature …