Merger proposal

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I propose to merge the Network_Science page into Network_theory. There is significant overlap between the two pages. I think the Network Theory page is in better shape. Joelmiller (talk) 05:00, 5 January 2020 (UTC)Reply

I agree, but would prefer to move Network_theory into Network_Science. Network_Science is a lot more comprehensive than the Network_theory page and covers a lot of the essential basics. I also think a full clean up of the two pages would be warranted. --Fractalfalcon (talk) 13:50, 1 January 2021 (UTC)Reply

Discussion of the SIR model

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The SIR model is currently the Kermack McKendrick model, which basically describes what disease modelling was like before network science existed. The section should probably be completely revamped to include network effects: e.g., the impact of large degree variance, more accurate models of disease. I don't have time to do this right now, but would encourage others to have a go at it. Joelmiller (talk) 03:18, 5 January 2020 (UTC)Reply

Link to the Cyberinfrastructure within the article

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Hi,

you're right ! I added this link because this university was the first to explicitly open their tools (http://cns.slis.indiana.edu/software/) and data, and some great people have participated like A.L. Barabasi and A.Vespignani.

K. Börner took an important part of NetSci I think : Börner, Katy, Sanyal, Soma & Vespignani, Alessandro. (2007). Network Science. In Cronin, Blaise (Eds.), Annual Review of Information Science & Technology (Vol. 41, pp. 537-607), chapter 12, Medford, NJ: Information Today, Inc./American Society for Information Science and Technology.

Regards,

--Mentatseb (talk) 11:27, 11 March 2009 (UTC)Reply

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http://www.netscience.usma.edu/NSW/Papers/Network_Science_Report_Vol1No1.pdf not sure what to do here, link checker thinks it is ok , however i cannot view the page or pdf on my browser... jolt76 (talk) 06:24, 8 August 2010 (UTC)Reply

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There is a discussion about merging and spinning out network-related articles including this one at Talk:Social network#General network domain cleanup. Madcoverboy (talk) 19:11, 3 December 2011 (UTC)Reply

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A couple of thinks in the intro don't lead me where I would expect: engineered networks, information networks. I would fix but I am not sure what is intended here and I don't have access to the reference used for the paragraph to track it down. --Kvng (talk) 01:59, 7 June 2012 (UTC)Reply

Definition of "network" needed

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The lede currently tells us that network science is the study of networks, but it doesn't say what a network is. I think the definition should be here so the reader doesn't have to go clicking around looking for it. Duoduoduo (talk) 14:31, 17 December 2012 (UTC)Reply

There are many Wikilinks to articles that clearly describe what kinds of networks we're talking about: complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks. -—Kvng 04:37, 20 December 2012 (UTC)Reply

Wrong reference

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In the section on density there is a reference to Wasserman & Faust 1994 (This is reference nr2). The link that is provided sends you to a totally different article --> http://psycnet.apa.org/record/2011-03201-003
What i think that's actually being referenced is this book --> https://books.google.be/books/about/Social_Network_Analysis.html?id=CAm2DpIqRUIC&redir_esc=y

I've never edited a wiki page and i don't have a proper link to the book itself so i thought it would be better to mention it here then to try and change it myself.

Hope this helps :) — Preceding unsigned comment added by De gussem martijn (talkcontribs) 15:53, 6 August 2017 (UTC)Reply

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Strange sentence

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However, a number equal to the fraction (...) of infectives are leaving this class per unit time to enter the removed class.

What means the removed class here? Jumpow (talk) 20:12, 10 July 2019 (UTC)Reply

Barabási and separating peerless geniuses from "ordinary" ones

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This field is new to me so I don't know where to begin.

Where to put the following tidbit?

Source is Why Einstein is a “peerless genius” and Hawking is an “ordinary genius” by Albert-László Barabási Youtube video. At 2:33 Barabási claims the strongest indicator of a "peerless" genius is, and I quote, "the number of languages to which a person's Wikipedia page has been translated to".

Cheers,

a random Youtube watcher and non-expert Wikipedia editor,

CapnZapp (talk) 17:44, 28 June 2023 (UTC)Reply