Abstract: Attentive clustering includes constructing an online author network, wherein constructing includes selecting a set of source nodes (S), a set of outlink targets (T) from a selected type or types of hyperlinks, and a set of edges (E) between S and T defined by the selected hyperlinks, constructing a matrix of source nodes in S linked to targets in T?, wherein T? is derived by normalizing nodes in T, and partitioning the network into at least one set of source nodes with a similar linking history to form an attentive cluster and at least one set of outlink targets with a similar citation profile to form an outlink bundle. Attentive clustering may further include applying any lists specifying inclusion or exclusion of particular nodes. Frequencies of links between attentive clusters and outlink bundles may be measured and analyzed.

Abstract: This disclosure concerns systems and methods for classifying at least one contagious phenomenon propagating on a network. Classifying may be based on one or more of a peakedness, a commitment, a commitment by subsequent uses, a commitment by time range, and a dispersion related to engagement with the contagious phenomenon.

Abstract: Attentive clustering includes constructing an online author network, wherein constructing includes selecting a set of source nodes (S), a set of outlink targets (T) from a selected type or types of hyperlinks, and a set of edges (E) between S and T defined by the selected hyperlinks, constructing a matrix of source nodes in S linked to targets in T?, wherein T? is derived by normalizing nodes in T, and partitioning the network into at least one set of source nodes with a similar linking history to form an attentive cluster and at least one set of outlink targets with a similar citation profile to form an outlink bundle. Attentive clustering may further include applying any lists specifying inclusion or exclusion of particular nodes. Frequencies of links between attentive clusters and outlink bundles may be measured and analyzed.