ICM 2021 | Social Network | Cracking the Secret of Musical Influence

We participated in ICM 2021 during Feb 5th - Feb 9th and finally honored Meritorious Winner(Top 7%)😆. Because we 3 people are all music enthusiasts, we chose the problem D about data mining in music similarity and influence. We thought we could do better in this field. It turns out that we were right. Here is our thinking and solution to this problem.

Posted on Social Network

Note | Robust detection of link communities in large social networks by exploiting link semantics - PART 1

Paper This is the first paper I read, and I use this blog to record my thoughts and organize during my study. I will introduce the overarching content of the whole paper from four aspects. They are the background & existing methods, models & methods, experiments and conclusions & discussions.

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Note | Robust detection of link communities in large social networks by exploiting link semantics - PART 2

ExperimentsDatasetWe selected two datasets, including the content of internal emails of the US energy company Enron (Enron scandal, California energy crisis) and the content of three forums of the news site Reddit over three days. If user A comments on user B’s post, A link is generated from A to B with the content of the comment.

Posted on Social Network