The impact of social diversity and dynamic influence propagation for identifying influencers in social networks
Journal
IEEE/WIC/ACM International Conference on Web Intelligence
Journal Volume
1
Pages
410-416
Date Issued
2013
Author(s)
Abstract
There has been significant recent interest in using the aggregate information from social media sites (e.g., Twitter) to identify influencers. To investigate this issue, one dynamic diversity-dependent algorithm is proposed for detecting the influencers by evaluating the influence of users throughout social networks. Comparative analyses with the existing methods on either synthetic social networks or real Twitter data show that our strategy performs best. It implies that the pattern of the influence propagation should be updated dynamically to reflect the flow of influence spread to better capture the rapidly changing dynamics of microblogs. Our proposed scheme is therefore practical and feasible to be deployed in the real world.
SDGs
Type
conference paper