Leaders in Social Networks, the Delicious Case

Abstract

Finding pertinent information is not limited to search engines. Online communities can amplify the influence of a small number of power users for the benefit of all other users. Users' information foraging in depth and breadth can be greatly enhanced by choosing suitable leaders. For instance in delicious.com, users subscribe to leaders' collection which lead to a deeper and wider reach not achievable with search engines. To consolidate such collective search, it is essential to utilize the leadership topology and identify influential users. Google's PageRank, as a successful search algorithm in the World Wide Web, turns out to be less effective in networks of people. We thus devise an adaptive and parameter-free algorithm, the LeaderRank, to quantify user influence. We show that LeaderRank outperforms PageRank in terms of ranking effectiveness, as well as robustness against manipulations and noisy data. These results suggest that leaders who are aware of their clout may reinforce the development of social networks, and thus the power of collective search.

DOI: 10.1371/journal.pone.0021202

Extracted Key Phrases

7 Figures and Tables

020402011201220132014201520162017
Citations per Year

127 Citations

Semantic Scholar estimates that this publication has 127 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Lu2011LeadersIS, title={Leaders in Social Networks, the Delicious Case}, author={Linyuan Lu and Yi-Cheng Zhang and Chi Ho Yeung and Tao Zhou}, booktitle={PloS one}, year={2011} }