Resilience of the World Wide Web: a longitudinal two-mode network analysis

Barnett, George A.; Jiang, Ke

doi:10.1007/s13278-016-0415-0

Cited by 9 publications

(4 citation statements)

References 22 publications

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“…The study also helps in describing relevant facts about the research done by the researcher. In another work by Barnett et al, [8] The role of spiders (defined as software programs used to transmit information over the World Wide Web) and by manipulating the registration process can be easily accessed in order to obtain accurate and desired information about kinds different can be easily collected, Search. 4044 Social network analysis (SNA) is a topic of interest in [9], and 4044 is performed with the aim of obtaining a graph-based approach, so the analysis of network 4044 groups becomes easier with the description of groups or population strength.…”

Section: IImentioning

confidence: 99%

The Dark Web: Privacy and Anonymity

Kavitha¹,

Kapilsurya²,

Shanmugam³

et al. 2023

IJRASET

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The Internet as a whole is a network of multiple computer networks and their vast infrastructure. The network consists of websites accessible through search engines such as Google, Firefox, etc. It's called the Surface Web. The Internet is further subdivided into the Deep Web – content that is unindexed and inaccessible to traditional search engines. The Dark Web is considered part of the Deep Web. It is accessible via TOR. Participants on the dark web are anonymous and hidden. Anonymity, confidentiality and the possibility of not being detected are three factors offered by special browsers like TOR and I2P. In this article, we discuss the impact of the Darknet in different social areas and provide results. It gives the number of daily anonymous darknet users (with TOR) in Kosovo and worldwide at the time showed the impact of hidden service sites and got search engine results from Ahimia and Onion City Dark Web. Anonymity on the dark web is not sufficiently verified. TOR strives to provide anonymous activity and aims to provide anonymous activity. Here are the results for showing the number of users and their location. calculations are based on IP addresses by country code, and accesses the sources of those addresses and reports the numbers in aggregate form. In this way,dark web users are indirectly represented. Another key factor is the number of anonymous network users on the dark web. In such a network, users are counted based on requests from directory clients (via TOR metrics) and the relay list is updated. Indirectly, the number of users calculated for the anonymous networks.

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Section: IImentioning

confidence: 99%

The Dark Web: Privacy and Anonymity

Kavitha¹,

Kapilsurya²,

Shanmugam³

et al. 2023

IJRASET

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“…Networks are resilient in the face of errors, failures, and external attacks (Albert, Jeong and Barabási, 2000b;Cohen et al, 2001;Gallos et al, 2005;Schneider et al, 2011;Gao, Barzel and Barabási, 2016;Eom, 2018;Laishram et al, 2018;Zhang et al, 2019). The resilience is based on network structures that can be found in various social, ecological, and technological networks, including the World-Wide-Web (Cohen et al, 2000;Barnett and Jiang, 2016), power grid systems (Chen and Hero, 2014;Dong et al, 2018), the economy (Griffith and Chun, 2015), human health (Bastiampillai, Allison and Chan, 2013;Kong et al, 2015), cell networks (Wuchty, 2014;Zitnik et al, 2019), ecological networks (Janssen et al, 2006;Baggio et al, 2016;Donohue et al, 2016), and social networks (Newman and Dale, 2005;Phan and Airoldi, 2015;Fernández-Martínez et al, 2017), among others (Yoo and Yeo, 2016;Scheffer et al, 2018;Zhang et al, 2019). Although local failures regularly occur within a network, they rarely lead to a collapse of networked systems with high connectivity, a small world structure, or scale-free degree distributions (Schneider et al, 2011;Gao, Barzel and Barabási, 2016;Eom, 2018).…”

Section: Introductionmentioning

confidence: 99%

Resilience to stress in bipartite networks: application to the Islamic State recruitment network

Wang

Edgerton

2022

Journal of Complex Networks

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Networks are resilient to internal failures or external attacks. The resiliency is often beneficial, but there are scenarios where the collapse of a network would benefit society, such as the dismantlement of terrorist, rebel or organized crime groups. In this article, we develop a method to estimate the effect of knockouts and apply our method to the Islamic State recruitment network. Using our novel application, we demonstrate how coordinated attacks against recruiters might reduce the Islamic State’s ability to mobilize new fighters. This analysis has direct implications for research on network resilience and terrorist recruitment.

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“…Networks are resilient in the face of errors, failures, and external attacks (Albert, Jeong and Barabási, 2000b;Cohen et al, 2001;Gallos et al, 2005;Schneider et al, 2011;Gao, Barzel and Barabási, 2016;Eom, 2018;Laishram et al, 2018;Zhang et al, 2019). The resilience is based on network structures that can be found in various social, ecological, and technological networks, including the World-Wide Web (Cohen et al, 2000;Barnett and Jiang, 2016), power grid systems (Chen and Hero, 2014;Dong et al, 2018), the economy (Griffith and Chun, 2015), human health (Bastiampillai, Allison and Chan, 2013;Kong et al, 2015), cell networks (Wuchty, 2014;Zitnik et al, 2019), ecological networks (Janssen et al, 2006;Baggio et al, 2016;Donohue et al, 2016), and social networks (Newman and Dale, 2005;Phan and Airoldi, 2015;Fernández-Martínez et al, 2017), among others (Yoo and Yeo, 2016;Scheffer et al, 2018;Zhang et al, 2019). Although local failures regularly occur within a network, they rarely lead to a collapse of networked systems with high connectivity, a small world structure, or scale-free degree distributions (Schneider et al, 2011;Gao, Barzel and Barabási, 2016;Eom, 2018).…”

Section: Introductionmentioning

confidence: 99%

Resilience to stress in bipartite networks: Application to the Islamic State recruitment network

Wang¹,

Edgerton²

2021

Preprint

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Networks are resilient to internal failures or external attacks. The resiliency is often beneficial, but there are scenarios where the collapse of a social system, network, or organization would be beneficial to society, such as the dismantlement of terrorist, rebel, or organized crime groups. In this article, we develop a methodology to estimate the effect of knockouts and apply our method to the Islamic State recruitment network. Using our novel application, we demonstrate how coordinated attacks against recruiters might reduce the Islamic State's ability to mobilize new fighters. This analysis has direct implications for studies of network resilience and terrorist recruitment.

show abstract

Resilience of the World Wide Web: a longitudinal two-mode network analysis

Cited by 9 publications

References 22 publications

The Dark Web: Privacy and Anonymity

The Dark Web: Privacy and Anonymity

Resilience to stress in bipartite networks: application to the Islamic State recruitment network

Resilience to stress in bipartite networks: Application to the Islamic State recruitment network

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