NETWORK-TRAFFIC-ANALYSIS-BASED SUGGESTION GENERATION

摘要

In one embodiment, a computer server running a social networking application aggregates raw local area network (LAN) traffic data received from one or more listening nodes in one or more LANs. The aggregated LAN traffic data is comprised of multiple entries, each of which includes a MAC address for a networked device, as well as an association between each MAC address and a user of a social networking system. The computer server may then detect, identify, and qualify recurring patterns when a particular user is on the same LAN as other users of the social networking system. Based upon the qualified patterns, the social networking system may suggest friend connections or other interactions on the social networking system to the particular user.

主权项

1. A method comprising:
by one or more computer servers, aggregating raw local area network (LAN) traffic data received from one or more listening nodes in one or more LANs, the aggregated LAN traffic data comprising a plurality of entries, each entry comprising at least a MAC address for a networked device; by the computer servers, associating a social networking user identifier with each unique MAC address in the aggregated LAN traffic data; by the computer servers, processing the aggregated LAN traffic data to identify a pattern in relation to a subset of the entries; by the computer servers, qualifying the identified pattern; by the computer servers, generating a set of suggestions; and by the computer servers, publishing the suggestions.