Leaders in social networks, the delicious case

Linyuan LÜ, Yi-Cheng ZHANG, Chi Ho YEUNG, Tao ZHOU

Research output: Contribution to journalArticle

370 Citations (Scopus)

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. Copyright © 2011 Lü et al.
Original languageEnglish
Article numbere21202
JournalPLoS One
Volume6
Issue number6
DOIs
Publication statusPublished - Jun 2011

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Search Engine
social networks
engines
Search engines
Social Support
world wide web
leadership
World Wide Web
Internet
topology
Topology
foraging
Power (Psychology)

Citation

Lu, L., Zhang, Y.-C., Yeung, C. H., & Zhou, T. (2011). Leaders in social networks, the delicious case. PLoS ONE, 6(6). Retrieved from https://doi.org/10.1371/journal.pone.0021202