seruting
发表于 2025-3-25 04:53:12
Ivete Maria Baraldi,Fernanda Malinosky Coelho da Rosa,Vera Lúcia Messias Fialho Capellini,Erica Aparaches the targeted network coverage, where threshold rules determine the outcome of influence. This problem is NP-hard and it has generated a significant amount of recent research on finding efficient heuristics. We focus on a . algorithm that relies on three parameters to tune its performance to th
Asparagus
发表于 2025-3-25 08:51:04
Renato Marcone and this defines sub-communities of varying size. In this paper, we propose a preference implication based-method for generating overlapping structures based on a local function optimization approach. We introduce some parameters in our novel method to design the communities according to a threshol
Mere仅仅
发表于 2025-3-25 12:44:17
http://reply.papertrans.cn/47/4633/463282/463282_23.png
grudging
发表于 2025-3-25 16:12:13
http://reply.papertrans.cn/47/4633/463282/463282_24.png
jaunty
发表于 2025-3-25 21:12:14
http://reply.papertrans.cn/47/4633/463282/463282_25.png
Adj异类的
发表于 2025-3-26 01:20:34
http://reply.papertrans.cn/47/4633/463282/463282_26.png
canonical
发表于 2025-3-26 06:32:18
http://reply.papertrans.cn/47/4633/463282/463282_27.png
Harrowing
发表于 2025-3-26 11:11:29
Yvonne Blumenthal,Stefan Voß,Simon Sikora,Bodo Hartkeks) change temporally. In regards to time-evolving model in social network analyses, link prediction supports the understanding of the rationale behind the underlying growth mechanisms of social networks. Mining the temporal patterns of actor-level evolutionary changes in regards to their network ne
SOB
发表于 2025-3-26 16:37:35
Brigitte Lutz-Westphal,Katharina Skutellamethods. In the area of social networks, these methods are mostly inspired by social theory, such as having more mutual friends between two people in a social network platform entails higher probability of those two people becoming friends in the future. In this paper we take our inspiration from a
强所
发表于 2025-3-26 17:50:27
Lessandra Marcelly Sousa da Silva,Célia Regina Roncato,Denner Dias Barros,Débora Vieira de Souza,Elomethods. In the area of social networks, these methods are mostly inspired by social theory, such as having more mutual friends between two people in a social network platform entails higher probability of those two people becoming friends in the future. In this paper we take our inspiration from a