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  1. No Access

    Chapter

    Introduction

    Danai Koutra, Christos Faloutsos in Individual and Collective Graph Mining (2018)

  2. No Access

    Chapter

    Conclusions and Further Research Problems

    Graphs are very powerful representations of data and the relations among them. The Web, friendships and communications, collaborations and phone calls, traffic flow, or brain functions are only few examples of...

    Danai Koutra, Christos Faloutsos in Individual and Collective Graph Mining (2018)

  3. No Access

    Chapter

    Summarization of Static Graphs

    One natural way to understand a graph and its underlying processes is to visualize and interact with it. However, for large datasets with several millions or billions of nodes and edges, such as the Facebook s...

    Danai Koutra, Christos Faloutsos in Individual and Collective Graph Mining (2018)

  4. No Access

    Chapter

    Summarization of Dynamic Graphs

    In many applications, it is necessary or at least beneficial to explore multiple graphs collectively. These graphs can be temporal instances of the same set of objects (time-evolving graphs), or disparate netw...

    Danai Koutra, Christos Faloutsos in Individual and Collective Graph Mining (2018)

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    Book

    Individual and Collective Graph Mining

    Principles, Algorithms, and Applications

    Danai Koutra, Christos Faloutsos in Synthesis Lectures on Data Mining and Knowledge Discovery (2018)

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    Chapter

    Graph Alignment

    Can we spot the same people in two different social networks, such as LinkedIn and Facebook? How can we find similar people across different graphs? How can we effectively link an information network with a socia...

    Danai Koutra, Christos Faloutsos in Individual and Collective Graph Mining (2018)

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    Chapter

    Inference in a Graph

    In Chapter 2 we saw how we can summarize a large graph and gain insights into its important and semantically meaningful structures. In this chapter we examine how we can use the network effects to learn about ...

    Danai Koutra, Christos Faloutsos in Individual and Collective Graph Mining (2018)

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    Chapter

    Graph Similarity

    A question that often comes up when studying multiple networks is: How much do two graphs or networks differ in terms of connectivity, and which are the main node and edge culprits for their difference? For ex...

    Danai Koutra, Christos Faloutsos in Individual and Collective Graph Mining (2018)