***** To join INSNA, visit http://www.insna.org ***** The first half may be too basic for you as it covers research design too, but the chapters on specific topics are a good, theoretically-driven introduction. Analyzing Social Networks by Borgatti, Everett, and Johnson <http://www.amazon.com/Analyzing-Social-Networks-Stephen-Borgatti/dp/1446247414> Also, the *Sage Handbook of Social Network Analysis* edited by Scott and Carrington has excellent chapters organized theory, topic, and methods. <http://www.amazon.com/SAGE-Handbook-Social-Network-Analysis/dp/1847873952/ref=sr_1_1?s=books&ie=UTF8&qid=1438089018&sr=1-1&keywords=sage+handbook+of+social+network+analysis> The search for the best techniques or algorithms to determine something like meaningful cut points between areas of a network may be enriched by some of the theory in this books. The other responses are all great, but these might provide some more food for thought about what SNA can offer. And, yes, in my experience, this is a very welcoming and open community. I have sometimes found good answers by searching its archives. Good Luck, Jordi On Mon, Jul 27, 2015 at 5:21 PM, Gary Warner <[log in to unmask]> wrote: > ***** To join INSNA, visit http://www.insna.org ***** > > I wonder if the group could help a newcomer with advice on some > fundamental tasks, like a "Getting Started with Social Network Analysis"? > > I have been gathering information about a certain group of social media > users and which ones of them follow one another. We have about 15 million > individuals in this network which has very high connection groups within > the overall network (72 million connections between them). We would like > to use some "well accepted" methods of finding core subgroups within this > meshed network, but I have to confess, while I have done tons of data > mining, I've never really done "Social Network Analysis" in a graph-theory > type way. I have many years experience analyzing primarily the structure > of computer networks, malware, and botnets, and the criminals who run them, > but this data set is far beyond my experience and I feel I need more proven > tools and techniques to address it properly. My old techniques seem to run > out when I get much above 100,000 connections. > > Any suggestions on good "getting started" books, articles, or papers would > be most helpful. > > I've loaded a subset of this data into Pajek ... it represents 8913 social > media accounts with 3.9 million connections between them, but realize that > I need some theoretical background in Social Network Analysis to really > even understand the range of "What might I do next" possibilities. > > My objective is to be able to find "strongly connected" and "weakly > connected" members, and to determine if there is a connectivity threshold > where the network would "split" into two or more clusters. > > I would be grateful to the group for any suggested reading. Not afraid to > read! I think I need a bit of basic theory before jumping in to the Pajek > manual though. > > As Thomas Jefferson wrote in 1769 to Thomas Turpin Shadwell: "the only > help a youth wants is to be directed what books to read, and in what order > to read them." > > That's the main help I'm asking for right now. The answer may well be > RTFM (Read The Fine Manual), but the question is which M to F'ing R first? > > Thanks for any opinions, and I apologize if I've just stumbled across a > list FAQ question. A pointer to same would be appreciated if that is the > right way to get started! > > > ---------------------------------------------------------- > > Gary Warner > Director of Research in Computer Forensics > The University of Alabama at Birmingham > Center for Information Assurance and Joint Forensics Research > [log in to unmask] > > ----------------------------------------------------------- > > _____________________________________________________________________ > SOCNET is a service of INSNA, the professional association for social > network researchers (http://www.insna.org). To unsubscribe, send > an email message to [log in to unmask] containing the line > UNSUBSCRIBE SOCNET in the body of the message. > -- *Jordi Comas* *"There is nothing so practical as a good theory." Kurt Lewin* Social Innovation and Entrepreneurship Blog (under construction): Simple Tools. <https://simpletools.blogs.bucknell.edu/> Netcentric <http://netcentric.blogs.bucknell.edu/>: Resources for Teaching Network Theory and Research Research and Writing Blog: Nets We Weave <http://netsweweave.wordpress.com> *Assistant ProfessorSchool of ManagementBucknell UniversityTaylor 112570 577 3161* _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.