On the Shoulders of Giants: Incremental Influence Maximization in Evolving Social Networks
Influence maximization problem aims to identify the most influential individuals so as to help in developing effective viral marketing strategies over social networks. Previous studies mainly focus on designing efficient algorithms or heuristics on a static social network. As a matter of fact, real-...
Saved in:
Main Authors: | Xiaodong Liu, Xiangke Liao, Shanshan Li, Si Zheng, Bin Lin, Jingying Zhang, Lisong Shao, Chenlin Huang, Liquan Xiao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2017/5049836 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Risk Intelligence: Making Profit from Uncertainty in Data Processing System
by: Si Zheng, et al.
Published: (2014-01-01) -
On the shoulders of giants (part two): an inspirational woman
by: Keith White
Published: (2008-03-01) -
An Incremental Interesting Maximal Frequent Itemset Mining Based on FP-Growth Algorithm
by: Hussein A. Alsaeedi, et al.
Published: (2022-01-01) -
On the shoulders of giants (part one): inspiring residential child care
by: Keith White
Published: (2007-08-01) -
Contrastive Dual-Pool Feature Adaption for Domain Incremental Remote Sensing Scene Classification
by: Yingzhao Shao, et al.
Published: (2025-01-01)