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KDD
2008
ACM
164views Data Mining» more  KDD 2008»
16 years 4 months ago
Microscopic evolution of social networks
We present a detailed study of network evolution by analyzing four large online social networks with full temporal information about node and edge arrivals. For the first time at ...
Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew ...
CCS
2010
ACM
15 years 3 months ago
Designs to account for trust in social network-based sybil defenses
Social network-based Sybil defenses exploit the trust exhibited in social graphs to detect Sybil nodes that disrupt an algorithmic property (i.e., the fast mixing) in these graphs...
Abedelaziz Mohaisen, Nicholas Hopper, Yongdae Kim
ASUNAM
2009
IEEE
15 years 11 months ago
Networks Evolving Step by Step: Statistical Analysis of Dyadic Event Data
With few exceptions, statistical analysis of social networks is currently focused on cross-sectional or panel data. On the other hand, automated collection of network-data often p...
Ulrik Brandes, Jürgen Lerner, Tom A. B. Snijd...
WWW
2009
ACM
16 years 5 months ago
Discovering the staring people from social networks
In this paper, we study a novel problem of staring people discovery from social networks, which is concerned with finding people who are not only authoritative but also sociable i...
Dewei Chen, Jie Tang, Juanzi Li, Lizhu Zhou
KDD
2009
ACM
185views Data Mining» more  KDD 2009»
16 years 5 months ago
On compressing social networks
Motivated by structural properties of the Web graph that support efficient data structures for in memory adjacency queries, we study the extent to which a large network can be com...
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, ...