Harvesting with SONAR: the value of aggregating social network information
Web 2.0 gives people a substantial role in content and metadata creation. New
interpersonal connections are formed and existing connections become evident through …
interpersonal connections are formed and existing connections become evident through …
Mining criminal networks from unstructured text documents
Digital data collected for forensics analysis often contain valuable information about the
suspects' social networks. However, most collected records are in the form of unstructured …
suspects' social networks. However, most collected records are in the form of unstructured …
[图书][B] Python for graph and network analysis
MZ Al-Taie, S Kadry - 2017 - Springer
The fast developments in the Web and Internet in the last decade and the advancements in
computing and communication have drawn people in innovative ways. Huge participatory …
computing and communication have drawn people in innovative ways. Huge participatory …
Information retrieval on social network: An adaptive proof
Abstract Information Retrieval has become one of the areas for studying to get the trusty
information, with which the recall and precision become the measurement form that …
information, with which the recall and precision become the measurement form that …
[PDF][PDF] Criminal network mining by web structure and content mining
J Hosseinkhani, S Chaprut… - 11th WSEAS International …, 2012 - academia.edu
Criminal web data provide unknown and valuable information for Law enforcement
agencies continuously. The digital data which is applied in forensics analysis includes …
agencies continuously. The digital data which is applied in forensics analysis includes …
[PDF][PDF] Data mining based social network analysis from online behavior
–Networks evolve because of local processes–Addition of new nodes, new links or rewiring
of old links–Preferential attachment is used for link changes–The relative frequency of these …
of old links–Preferential attachment is used for link changes–The relative frequency of these …
Towards discovering criminal communities from textual data
In many criminal cases, forensically collected data contain valuable information about a
suspect's social networks. An investigator often has to manually extract information from the …
suspect's social networks. An investigator often has to manually extract information from the …
Public vs. private: comparing public social network information with email
The goal of this research is to facilitate the design of systems which will mine and use
sociocentric social networks without infringing privacy. We describe an extensive experiment …
sociocentric social networks without infringing privacy. We describe an extensive experiment …
Constructing a cloud computing based social networks data warehousing and analyzing system
IH Ting, CH Lin, CS Wang - 2011 International Conference on …, 2011 - ieeexplore.ieee.org
The research area of Social networks analysis has been recognized as extremely time-
consuming tasks as well as large storage space is always necessary in order to store the …
consuming tasks as well as large storage space is always necessary in order to store the …
Parallelizing the extraction of fresh information from online social networks
Online social networks (OSNs) are among the hottest new services in recent years. OSNs
maintain records of the lives of users, thereby providing potential resources for journalists …
maintain records of the lives of users, thereby providing potential resources for journalists …