Social Network Analysis (SNA) is a study conducted to understand various aspects of a network in general as well as its nodes individually and in groups. For example, in a friendship network, it is possible to find the most influential node (i.e., a person) in the analyzed domain. SNA ...
Molongui Authorship Pro addsover 120 social networkprofile fields, allowing you to display them as social icon links within the author box. If you do not see all these social profile fields on your author’s edit page, it is because most of them are disabled by default to avoid cluttering...
We collect all Reddit comment actions in May 2015 from kaggle.com/reddit/reddi 2)Twitter is an online social network where actions include tweet, retweet, quote and reply. We crawl these actions for one week via Twitter stream API on trending topics such as US presidential election, 2016 NBA...
dx.doi.org arXiv.org arXiv.org (全网免费下载) ui.adsabs.harvard.edu ResearchGate 查看更多 相似文献 参考文献 引证文献Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge This paper describes the winning entry to the IJCNN 2011 Social Network Challenge run by Kaggl...
Social Network Analysis, Link Analysis, and Visualization: We’re linking to a list of links, but it’s worth it. KDD has put together a list of tools, including many open source software options. Edge Prediction in a Social Graph: This Kaggle contest winner illustrates the challenges of mo...
. However, this procedure has a problem: the content is fact-checked once it has gone viral. In this paper I propose a method that is independent of network behavior, information cascades or their virality. Therefore, it allows to identify misinformation before it spreads through the network....
The numbers of confirmed cases and deaths are collected byRobert Koch Institute(RKI) and can be obtained fromKaggle(COVID-19 Tracking Germany). We define three dependent variables. We defineConfirmed Casesas the logarithm transformation of one plus the cumulative daily number of confirmed cases in...
Bitcoin network transactional metadata This dataset contains Bitcoin transaction metadata from 2011 to 2013. It was created by Omer Shafiq (Kaggle handle: OmerShafiq) and introduced to the Kaggle online community in 2019. The set comprises 11 attributes and 30,000 instances related to Bitcoin transac...
In this final chapter, we consider the state-of-the-art for spreading in social systems and discuss the future of the field. As part of this reflection, we identify a set of key challenges ahead. The challenges include the following questions: how can we improve the quality, quantity, exte...
Explore and run machine learning code with Kaggle Notebooks | Using data from Social_Network_Ads