A survey of signed network mining in social media
Many real-world relations can be represented by signed networks with positive and negative
links, as a result of which signed network analysis has attracted increasing attention from …
links, as a result of which signed network analysis has attracted increasing attention from …
[HTML][HTML] Influence maximization frameworks, performance, challenges and directions on social network: A theoretical study
The influence maximization (IM) problem identifies the subset of influential users in the
network to provide solutions for real-world problems like outbreak detection, viral marketing …
network to provide solutions for real-world problems like outbreak detection, viral marketing …
Edge weight prediction in weighted signed networks
Weighted signed networks (WSNs) are networks in which edges are labeled with positive
and negative weights. WSNs can capture like/dislike, trust/distrust, and other social …
and negative weights. WSNs can capture like/dislike, trust/distrust, and other social …
A fast algorithm for finding most influential people based on the linear threshold model
Finding the most influential people is an NP-hard problem that has attracted many
researchers in the field of social networks. The problem is also known as influence …
researchers in the field of social networks. The problem is also known as influence …
Improved information diffusion models based on a new two-sided sign-aware matching framework in complex networks
The information diffusion model is an important trending topic in the influence maximization
problem that companies use it aiming to promote effective viral advertising campaigns at a …
problem that companies use it aiming to promote effective viral advertising campaigns at a …
Signed-PageRank: An efficient influence maximization framework for signed social networks
Influence maximization in social networks is of great importance for marketing new products.
Signed social networks with both positive (friends) and negative (foes) relationships pose …
Signed social networks with both positive (friends) and negative (foes) relationships pose …
Positive influence maximization in signed social networks based on simulated annealing
D Li, C Wang, S Zhang, G Zhou, D Chu, C Wu - Neurocomputing, 2017 - Elsevier
Current studies of influence maximization focus almost exclusively on unsigned social
networks ignoring the polarities of the relationships between users. Influence maximization …
networks ignoring the polarities of the relationships between users. Influence maximization …
CFIN: A community-based algorithm for finding influential nodes in complex social networks
Influence maximization (IM) problem, a fundamental algorithmic problem, is the problem of
selecting a set of k users (refer as seed set) from a social network to maximize the expected …
selecting a set of k users (refer as seed set) from a social network to maximize the expected …
Using swarm intelligence algorithms to detect influential individuals for influence maximization in social networks
People use online social networks to exchange information, spread ideas, learn about
innovations, etc. Thus, it is important to know how information spreads through social …
innovations, etc. Thus, it is important to know how information spreads through social …
Influence maximization on signed networks under independent cascade model
Influence maximization problem is to find a subset of nodes that can make the spread of
influence maximization in a social network. In this work, we present an efficient influence …
influence maximization in a social network. In this work, we present an efficient influence …