TY - GEN
T1 - On the α-sensitivity of nash equilibria in pagerank-based network reputation games
AU - Chen, Wei
AU - Teng, Shang Hua
AU - Wang, Yajun
AU - Zhou, Yuan
PY - 2009/11/9
Y1 - 2009/11/9
N2 - Web search engines use link-based reputation systems (e.g. PageRank) to measure the importance of web pages, giving rise to the strategic manipulations of hyperlinks by spammers and others to boost their web pages' reputation scores. Hopcroft and Sheldon [10] study this phenomenon by proposing a network formation game in which nodes strategically select their outgoing links in order to maximize their PageRank scores. They pose an open question in [10] asking whether all Nash equilibria in the PageRank game are insensitive to the restart probability α of the PageRank algorithm. They show that a positive answer to the question would imply that all Nash equilibria in the PageRank game must satisfy some strong algebraic symmetry, a property rarely satisfied by real web graphs. In this paper, we give a negative answer to this open question. We present a family of graphs that are Nash equilibria in the PageRank game only for certain choices of α.
AB - Web search engines use link-based reputation systems (e.g. PageRank) to measure the importance of web pages, giving rise to the strategic manipulations of hyperlinks by spammers and others to boost their web pages' reputation scores. Hopcroft and Sheldon [10] study this phenomenon by proposing a network formation game in which nodes strategically select their outgoing links in order to maximize their PageRank scores. They pose an open question in [10] asking whether all Nash equilibria in the PageRank game are insensitive to the restart probability α of the PageRank algorithm. They show that a positive answer to the question would imply that all Nash equilibria in the PageRank game must satisfy some strong algebraic symmetry, a property rarely satisfied by real web graphs. In this paper, we give a negative answer to this open question. We present a family of graphs that are Nash equilibria in the PageRank game only for certain choices of α.
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U2 - 10.1007/978-3-642-02270-8_9
DO - 10.1007/978-3-642-02270-8_9
M3 - Conference contribution
AN - SCOPUS:70350697854
SN - 3642022693
SN - 9783642022692
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 63
EP - 73
BT - Frontiers in Algorithmics - Third International Workshop, FAW 2009, Proceedings
T2 - 3rd International Frontiers of Algorithmics Workshop, FAW 2009
Y2 - 20 June 2009 through 23 June 2009
ER -