Provided herein is a system or method for a users-to-follow recommendation engine for, based at least in part on social network information and information about users in one or more social networks, determining features relating to users, including topical features and social features, determining, using a model constructed utilizing the determined features, for a set or users, a subset of the set of users for which the user has a high linkage, relative to other linkages in the set, and determining, using the model, and displaying to the user, a recommendation to follow and an associated explanation, of at least one particular user of the subset of the users wherein the associated explanation includes a topical-based explanation when a predominant basis for the high linkage is determined to be topical and a social-based explanation when a predominant basis for the high linkage is determined to be social.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system comprising one or more processors and a non-transitory storage medium comprising program logic for execution by the one or more processors, the program logic comprising: a users-to-follow recommendation engine for: based at least in part on social network information and information about users in one or more social networks, determining features relating to users, including topical features and social features; determining, using a model constructed utilizing the determined features, for a set or users, a subset of the set of users for which the user has a high linkage, relative to other linkages in the set; and determining, using the model, and displaying to the user, a recommendation to follow and an associated explanation, of at least one particular user of the subset of the users wherein the associated explanation includes a topical-based explanation when a predominant basis for the high linkage is determined to be topical and a social-based explanation when a predominant basis for the high linkage is determined to be social. 2. The system of claim 1, wherein linkage corresponds to an integrated measure of a combination or aggregation of topical and social links between a first user and a second user. 3. The system of claim 1, wherein linkage corresponds to or is associated with predicted affinity of a first user with respect to a second user, with regard to the first user following or choosing to follow the second user. 4. The system of claim 1, wherein linkage corresponds to a predicted probability of a first user to accept a recommendation to follow a second user. 5. The system of claim 1, wherein determining the explanation comprises using the model in determining one or more specific topical or social links between the user and the particular user, and comprises including information about the one or more specific topical or social links in the explanation. 6. The system of claim 1, wherein determining the explanation comprises using the model in determining one or more specific topical or social links between the user and the particular user, and comprises including information about the one or more specific topical or social links in the explanation, and wherein the one or more specific topical or social links are determined, using the model, to be among the most dominant or influential determined links in leading to the recommendation regarding the particular user. 7. The system of claim 1, wherein the model is a machine learning based model. 8. The system of claim 1, further comprising determining the social predominant basis for the high linkage based in part on a predominance in at least one of a common bond between users, social personal connections between users, a high density of links and a high reciprocity of links. 9. The system of claim 1, further comprising determining the topical predominant basis for the high linkage based in part on a predominance in at least one of a common interest between users, high directionality of links, low entropy in features and presence of authoritative users on a relevant topic. 10. The system of claim 1, further comprising: using the model constructed utilizing the determined features, modeling the user degree of sociality, authority and susceptibility of the user within and relative to the set of users; and determining an extent and role of user involvement in the set, based on the modeling. 11. A method comprising: based at least in part on social network information and information about users in one or more social networks, determining features relating to a user, including topical features and social features; constructing a machine learning based model utilizing the determined features; determining, using the model, for a set of users, a subset of the set of users for which the user has a high linkage, relative to linkages of the user to other users in the set; and determining, using the model, and displaying to the user, a recommendation to follow and an associated explanation, of at least one particular user of the subset of the users wherein the associated explanation includes a topical-based explanation when a predominant basis for the high linkage is determined to be topical and a social-based explanation when a predominant basis for the high linkage is determined to be social. 12. The method of claim 11, wherein linkage corresponds to an integrated measure of a combination or aggregation of topical and social links between a first user and a second user. 13. The method of claim 11, wherein linkage corresponds to or is associated with predicted affinity of a first user with respect to a second user, with regard to the first user following or choosing to follow the second user. 14. The method of claim 11, wherein linkage corresponds to a predicted probability of a first user to accept a recommendation to follow a second user. 15. The method of claim 11, wherein determining the explanation comprises using the model in determining one or more specific topical or social links between the user and the particular user, and comprises including information about the one or more specific topical or social links in the explanation. 16. The method of claim 11, wherein determining the explanation comprises using the model in determining one or more specific topical or social links between the user and the particular user, and comprises including information about the one or more specific topical or social links in the explanation, and wherein the one or more specific topical or social links are determined, using the model, to be among the most dominant or influential determined links in leading to the recommendation regarding the particular user. 17. The method of claim 11, wherein the model is a machine learning based model. 18. The method of claim 11, further comprising determining the predominant basis for the high linkage based in part on at least one of a bond type between users, a density level of links, a reciprocity level of links, a directionality level of links, entropy level in features and presence of authoritative users on a relevant topic. 19. The method of claim 11, further comprising: using the model constructed utilizing the determined features, modeling the user degree of sociality, authority and susceptibility of the user within and relative to the set of users; and determining an extent and role of user involvement in the set, based on the modeling. 20. A non-transitory computer-readable storage medium or media tangibly storing computer program logic capable of being executed by a computer processor, the program logic comprising: users-to-follow recommendation engine logic for: based at least in part on social network information and information about users in one or more social networks, determining features relating to a user, including topical features and social features; determining, using a model constructed utilizing the determined features, for a set of users, a subset of the set of users for which the user has a high linkage, relative to linkages of the user to other users in the set; and determining, using the model, and displaying to the user, a recommendation to follow and an associated explanation, of at least one particular user of the subset of the users wherein the associated explanation includes a topical-based explanation when a predominant basis for the high linkage is determined to be topical and a social-based explanation when a predominant basis for the high linkage is determined to be social.