Information Diffusion and Social Influence > DataSet > Interdependent Networks

• Twitter and Foursquare

  Twitter-Foursquare Multiple Networks (TFMN) is composed of two popular social networks, Twitter and Foursquare, in which the crossing (overlapping) users are those who connect their Twitter and Foursquare accounts. We obtained the twitter network sampling a portion of Twitter network from the complete Twitter network. We link the corresponding users together as crossing users with the aid of the provided Twitter usernames in the their Foursquare accounts via Foursquare API v1. Finally, we further use this Foursquare API to obtain the users and links within two-hop neighbors of these crossing users. The datasets consist of 'circles' (or 'lists') from Twitter and Foursquare. The first 4100 nodes (overlapping nodes) are common in both the networks.
  
  

  Networks	Nodes	Edges	Avg. Degree
  Twitter	48277	16304712	289.7
  FourSquare	44992	1664402	35.99

  
  
  Please cite D. T. Nguyen, H. Zhang, S. Das, M. T. Thai, and T. N. Dinh, Least Cost Influence in Multiplex Social Networks: Model Representation and Analysis , in Proceedings of the IEEE Int Conference on Data Mining (ICDM), 2013.
  
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• Co-author networks

  Academic Collaboration Multiple Networks (ACMN) is composed of three academic collaboration networks : (1) Condensed Matter Collaboration Network (CM), (2) High-Energy Theory Collaboration Network (HET), and (3) Co-authorship Network in Network Science (NetS). Due to the interdisciplinary nature of these research areas, many authors are identified in more than one of these networks, i.e., an author who has published papers in both fields of High Energy Theory and Network Science is a crossing user. To determine the research interests of users, we use Mendeley Web (for those available in Mendeley Web), an online research network on research papers and trends, to classify the research sub-areas. Consider the most popular 25 tags for documents in related areas via Mendeley API, such as community structure, solar cells, laser etc.
  
  

  Networks	Nodes	Edges	Avg. Degree
  CM	40420	175692	8.69
  Het	8360	15751	1.88
  NetS	1588	2742	1.73

  
  
  

  Network Couples	Crossing Users
  CM-Het	2860
  CM-NetS	517
  Het-NetS	90

  
  
  Please cite D. T. Nguyen, H. Zhang, S. Das, M. T. Thai, and T. N. Dinh, Least Cost Influence in Multiplex Social Networks: Model Representation and Analysis , in Proceedings of the IEEE Int Conference on Data Mining (ICDM), 2013.
  
  Download the [Dataset]