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Skip to Search Results- 5Social Network Analysis
- 3Community Mining
- 1Classified Ad Network
- 1Community Detection
- 1Community Discovery
- 1Deterministic and Uncertain Networks
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Fall 2014
We study the problem of classifying users in a classified ad network and its applications in further analyzing the network. Specifically, we seek to classify Kijiji users into one of the two business and non-business categories. The problem is challenging due to the sparsity of the data about...
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Fall 2020
Many structures in different areas of science can be modeled with graphs containing nodes and edges, which represent the entities of the model and the relationship between them, respectively. Community detection and discovery are two important tasks in Social Network Analysis, which try to find...
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Fall 2010
Information networks represent relations in data, relationships typically ignored in iid (independent and identically distributed) data. Such networks abound, like coauthorships in bibliometrics, cellphone call graphs in telecommunication, students interactions in Education, etc. A large body of...
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Fall 2010
Much structured data of scientific interest can be represented as networks, where sets of nodes or vertices are joined together in pairs by links or edges. Although these networks may belong to different research areas, there is one property that many of them do have in common: the network...
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Fall 2018
There is no shortage of community mining algorithms for discovering structure in complex information networks; most with unique advantages, however, all with drawbacks, including efficiency, correctness, resolution limit, and field of view limit. We introduce a novel efficient approach for...