Influences of Influential Users
Author(s) -
Jing Ren,
Zhiyong Cheng,
Jialie Shen,
Feida Zhu
Publication year - 2014
Publication title -
singapore management university institutional knowledge (ink) (singapore management university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2632856.2632907
Subject(s) - computer science , key (lock) , empirical research , heuristic , identification (biology) , context (archaeology) , social network (sociolinguistics) , measure (data warehouse) , graph , data science , world wide web , artificial intelligence , data mining , theoretical computer science , social media , computer security , paleontology , philosophy , botany , epistemology , biology
Influential user can play a crucial role in online social networks. This paper documents an empirical study aiming at exploring the effects of influential users in the context of music social network. To achieve this goal, music diffusion graph is developed to model how information propagates over network. We also propose a heuristic method to measure users' influences. Using the real data from Last. fm, our empirical test demonstrates key effects of influential users and reveals limitations of existing influence identification/characterization schemes.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom