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TrustRank (Gyöngyi, Garcia-Molina & Pedersen, 2004) is ordinary PageRank with one change: instead of the random surfer teleporting to a uniform random page, it teleports back into a set of trusted seed pages. Trust then propagates outward along links and attenuates with distance — the further a page is from the trusted core, the less trust reaches it. The PageRank damping factor is exactly that attenuation mechanism, so no extra machinery is needed.
The original motivation was web spam: pick a small set of human-vetted “good” pages, and let trust flow from them so that link farms — which good pages rarely link to — stay low. The same mechanic is useful on a single site for any “authority radiates from these known-good pages” question: your editorial hubs, your hand-picked cornerstone content, or a manually curated quality set.
This is seed-biased PageRank, not a spam classifier.
pagerankr supplies the biased-propagation core;
which pages are trustworthy is your call.
A trusted-seed set is just a teleport (personalization) prior.
pagerankr already builds personalized PageRank from a
per-URL prior via pagerank(prior_df = ...) (the TIPR path).
TrustRank is therefore two small helpers over that engine:
seed_prior() turns a seed set into a
prior_df (the same builder feeds
topic_feeder_pagerank(); the seed prior is
orientation-agnostic).trustrank() is the one-call convenience wrapper.edges <- data.frame(
from = c("/", "/", "/hub", "/hub", "/good", "/spam", "/spam"),
to = c("/hub", "/good", "/good", "/deep", "/hub", "/sink", "/good")
)Here / and /hub are our trusted editorial
core. /spam links into the good neighborhood (a classic
spam tactic) but nothing trusted links to it, and it feeds an
off-topic /sink.
Equal weights reproduce TrustRank’s uniform distribution over the
trusted set. Run it through pagerank() like any other
prior:
pr_manual <- pagerank(edges, prior_df = prior, clean_edge_urls = FALSE)
#> TIPR prior aligned: 2/6 real vertices carry authority; transform='none', alpha=0 (uniform mass ~0.0%). 0 prior URL(s) (sum weight 0) did not fold onto any vertex and were dropped.
pr_manual[order(-pr_manual$pagerank), c("node_name", "pagerank")]
#> node_name pagerank
#> 4 /hub 0.4238061
#> 3 /good 0.2445263
#> 2 /deep 0.1801176
#> 1 / 0.1515500
#> 5 /sink 0.0000000
#> 6 /spam 0.0000000tr <- trustrank(edges, c("/", "/hub"), clean_edge_urls = FALSE)
#> TIPR prior aligned: 2/6 real vertices carry authority; transform='none', alpha=0 (uniform mass ~0.0%). 0 prior URL(s) (sum weight 0) did not fold onto any vertex and were dropped.
tr[order(-tr$pagerank), c("node_name", "pagerank", "prior_weight")]
#> node_name pagerank prior_weight
#> 4 /hub 0.4238061 0.5
#> 3 /good 0.2445263 0.0
#> 2 /deep 0.1801176 0.0
#> 1 / 0.1515500 0.5
#> 5 /sink 0.0000000 0.0
#> 6 /spam 0.0000000 0.0trustrank() is identical to the manual call — it just
builds the prior for you. Two things to read in the output:
prior_weight is the teleport mass each
page receives. The seeds carry it; /spam and
/sink, outside the trusted neighborhood, get exactly
0./deep, linked from /hub) still earns
trust through inheritance, while the seed-unreachable /spam
region stays suppressed relative to plain PageRank.uni <- pagerank(edges, clean_edge_urls = FALSE)
compare_pagerank(uni, tr)[, c("node_name", "pagerank_a", "pagerank_b", "delta")]
#> node_name pagerank_a pagerank_b delta
#> 1 /hub 0.31375833 0.4238061 0.11004777
#> 2 /sink 0.09527563 0.0000000 -0.09527563
#> 3 / 0.06686009 0.1515500 0.08468988
#> 4 /spam 0.06686009 0.0000000 -0.06686009
#> 5 /deep 0.20020738 0.1801176 -0.02008979
#> 6 /good 0.25703846 0.2445263 -0.01251213pagerank_a is uniform PageRank, pagerank_b
is TrustRank. The trusted core and what it links to gain; the untrusted
region loses.
Trust need not be all-or-nothing. Give some seeds more weight than others:
trustrank(
edges,
data.frame(url = c("/", "/hub"), weight = c(3, 1)),
clean_edge_urls = FALSE
)[, c("node_name", "pagerank", "prior_weight")]
#> TIPR prior aligned: 2/6 real vertices carry authority; transform='none', alpha=0 (uniform mass ~0.0%). 0 prior URL(s) (sum weight 0) did not fold onto any vertex and were dropped.
#> node_name pagerank prior_weight
#> 1 / 0.2142415 0.75
#> 2 /deep 0.1595946 0.00
#> 3 /good 0.2506472 0.00
#> 4 /hub 0.3755166 0.25
#> 5 /sink 0.0000000 0.00
#> 6 /spam 0.0000000 0.00By default untrusted, seed-unreachable pages receive no teleport mass
at all. To give every page a small floor (a blend of trust teleport and
uniform teleport), pass prior_alpha:
trustrank(
edges, c("/", "/hub"),
prior_alpha = 0.15, clean_edge_urls = FALSE
)[, c("node_name", "pagerank", "prior_weight")]
#> TIPR prior aligned: 2/6 real vertices carry authority; transform='none', alpha=0.15 (uniform mass ~15.0%). 0 prior URL(s) (sum weight 0) did not fold onto any vertex and were dropped.
#> node_name pagerank prior_weight
#> 1 / 0.141586436 0.450
#> 2 /deep 0.182481103 0.025
#> 3 /good 0.245998351 0.025
#> 4 /hub 0.410859270 0.450
#> 5 /sink 0.011208926 0.025
#> 6 /spam 0.007865913 0.025prior_alpha = 0 (the default) is pure trust teleport;
prior_alpha = 1 reproduces uniform PageRank.
pagerank() and align_prior_to_vertices().pagerank() accepts flows through
trustrank() via ...: redirects, canonicals,
URL cleaning, domain/host filtering, edge weights, and duplicate-edge
policy. Trusted seeds are canonicalized and folded into the same vertex
namespace as the edges before alignment.topic_sensitive_pagerank(); it uses the same
personalization path with a per-topic prior instead of a single trusted
set.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.