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A large-scale community structure analysis in Facebook
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A classification for community discovery methods in complex networks
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The state-of-the-art in personalized recommender systems for social networking
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Community detection in graphs
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Models of core/periphery structures
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Peripheries of cohesive subsets
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Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth
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Error and attack tolerance of complex networks
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Link communities reveal multiscale complexity in networks
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Communities, modules and large-scale structure in networks
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The architecture of complex weighted networks
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Modularity and community structure in networks
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Resolution limit in community detection
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Structure and tie strengths in mobile communication networks
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Community structure in social and biological networks
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Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters
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Detecting the overlapping and hierarchical community structure in complex networks
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Comparing community structure identification
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Fast unfolding of communities in large networks
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Finding and evaluating community structure in networks
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Model for cascading failures in complex networks
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Modeling self-organization of communication and topology in social networks
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Near linear time algorithm to detect community structures in large-scale networks
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Robustness of community structure in networks
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Towards real-time community detection in large networks
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Performance of modularity maximization in practical contexts
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Communities and beyond: Mesoscopic analysis of a large social network with complementary methods
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Characterizing and Modeling the Dynamics of Online Popularity
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Efficient Behavior of Small-World Networks
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New spectral methods for ratio cut partitioning and clustering
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Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks
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Fast Complex Network Clustering Algorithm Using Agents
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Defining and Evaluating Network Communities Based on Ground-Truth
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Walking in Facebook: A Case Study of Unbiased Sampling of OSNs
inferredcites →https://doi.org/10.1109/isda.2011.6121636openalex-snapshot
Generalized Louvain method for community detection in large networks
inferredcites →https://doi.org/10.1109/itc.2010.5608727openalex-snapshot
On the bias of BFS (Breadth First Search)
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Towards Unbiased BFS Sampling
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The Spread of Behavior in an Online Social Network Experiment
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Emergence of Scaling in Random Networks
inferredcites →https://doi.org/10.1137/080734315openalex-snapshot
Comparing Community Structure to Characteristics in Online Collegiate Social Networks
inferredcites →https://doi.org/10.1140/epjb/e2004-00125-xopenalex-snapshot
Finding communities in linear time: a physics approach
inferredcites →https://doi.org/10.1140/epjb/e2004-00130-1openalex-snapshot
Community analysis in social networks
inferredcites →https://doi.org/10.1140/epjds9openalex-snapshot
A large-scale community structure analysis in Facebook
inferredcites →https://doi.org/10.1145/1150402.1150412openalex-snapshot
Group formation in large social networks
inferredcites →https://doi.org/10.1145/1242572.1242809openalex-snapshot
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inferredcites →https://doi.org/10.1145/1298306.1298311openalex-snapshot
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inferredcites →https://doi.org/10.1145/1367497.1367591openalex-snapshot
Statistical properties of community structure in large social and information networks
inferredcites →https://doi.org/10.1145/1519065.1519089openalex-snapshot
User interactions in social networks and their implications
inferredcites →https://doi.org/10.1145/1988688openalex-snapshot
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
inferredcites →https://doi.org/10.1145/1988688.1988749openalex-snapshot
Crawling Facebook for social network analysis purposes
inferredcites →https://doi.org/10.1145/2020408.2020581openalex-snapshot
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inferredcites →https://doi.org/10.1145/2133416.2146416openalex-snapshot
Interactive Dynamics for Visual Analysis
inferredcites →https://doi.org/10.1145/2133806.2133821openalex-snapshot
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inferredcites →https://doi.org/10.1145/2350190.2350193openalex-snapshot
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inferredcites →https://doi.org/10.1198/016214507000000446openalex-snapshot
Goodness of Fit of Social Network Models
inferredcites →https://doi.org/10.1287/orsc.10.3.216openalex-snapshot
Perspective: Complexity Theory and Organization Science
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Mesoscopic Structure Conditions the Emergence of Cooperation on Social Networks
inferredcites →https://doi.org/10.1371/journal.pone.0011976openalex-snapshot
Characterizing the Community Structure of Complex Networks
inferredcites →https://doi.org/10.1371/journal.pone.0016939openalex-snapshot
Geographic Constraints on Social Network Groups
inferredcites →https://doi.org/10.1371/journal.pone.0018961openalex-snapshot
Finding Statistically Significant Communities in Networks
inferredcites →https://doi.org/10.1371/journal.pone.0029358openalex-snapshot
Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media
inferredcites →https://doi.org/10.1504/ijsnm.2012.045106openalex-snapshot
Community structure discovery in Facebook
inferredcites →https://doi.org/10.1515/9781400841356.503openalex-snapshot
Error and attack tolerance of complex networks
inferredcites →https://doi.org/10.18848/1832-3669/cgp/v05i02/55977openalex-snapshot
Toward Understanding Friendship in Online Social Networks
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How to Measure Significance of Community Structure in Complex Networks
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Normalized Mutual Information to evaluate overlapping community finding algorithms
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The Anatomy of the Facebook Social Graph
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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