• 19 Oct 09
  

  Diego Leal

  gryc09 networks social network analysis sna

• 03 Oct 09
  

  Lorena enpatagoniasur

  Networking

• 02 Oct 09
  

  Charlie Crawford

  socialnetwork web2.0 connectivism

• 28 Sep 09
  

  Victor Hugo Rojas B.

  Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities.

  networks analysis sna socialnetworking networking research social network

• 26 Sep 09
  

  gobibijou
  • degrees -- the number of direct connections a node has
  • measure network activity for a node by using
    the concept of
• 24 Sep 09
  

  Eric Calvert

  social networks analysis research network sna

  • Social network analysis [SNA] is the mapping and measuring of relationships
    and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge
    entities. The nodes in the network are the people and groups
    while the links show relationships or flows between the nodes. SNA provides
    both a visual and a mathematical analysis of human relationships.
  • Common wisdom in personal networks is "the more connections, the better."
    This is not always so. What really matters is where those connections
    lead to -- and how they connect the otherwise unconnected!
  • 5 more annotations...

  • • Betweenness Centrality

      
      

      While Diane has many direct ties, Heather has few direct connections
      -- fewer than the average in the network. Yet, in may ways, she has one
      of the best locations in the network -- she is between two important constituencies. She plays a 'broker' role in the network.

    • A
      node with high betweenness has great influence over what flows -- and does not -- in the network. A node like Heather holds a lot power over the outcomes in a network. That is why I say, "As in Real Estate, the golden rule of networks is: Location, Location, Location."
    • A very
      centralized network is dominated by one or a few very central nodes. If
      these nodes are removed or damaged, the network quickly fragments into
      unconnected sub-networks.

    • Network Reach

      
      

      Not all network paths are created equal. More and more research shows that the shorter paths in the network are more important. Noah Friedkin, Ron Burt and other researchers have shown that networks have horizons over which we cannot see, nor influence. They propose that the key paths in networks are 1 and 2 steps and on rare occasions, three steps. The "small world" in which we live is not one of "six degrees of separation" but of direct and indirect connections < 3 steps away. Therefore, it is important to know: who is in your network neighborhood? Who are you aware of, and who can you reach?

    • Boundary spanners are well-positioned to be innovators, since they have access to ideas and information flowing in other clusters.
• 22 Sep 09
  

  miz minh

  networks have horizons over which we cannot see, nor influence. T

  networks horizon

• 

  Dennis Richards

  Social Network Analysis, A Brief Introduction

  socialnetworking networking research

• 21 Sep 09
  

  roland legrand

  social analysis networks networking socialnetworking sna research network

• 31 Aug 09
  

  Mark Ferguson

  Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities.

  sna socialnetworking crm

• 25 Apr 09
  

  Darren Draper

  social network analysis dissertation

• 15 Apr 09
  

  Howard Rheingold

  Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, web sites, and other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].

  social_networks

  • Social network analysis [SNA] is the mapping and measuring of relationships
    and flows between people, groups, organizations, computers, web sites, and other information/knowledge
    processing entities. The nodes in the network are the people and groups
    while the links show relationships or flows between the nodes. SNA provides
    both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
  • To understand networks and their participants, we evaluate the location of actors in the network. Measuring the network
    location is finding the centrality of a node. These measures give us insight into the various roles and groupings in a network -- who are the connectors, mavens, leaders, bridges, isolates, where are the clusters and who is in them, who is in the core of the network, and who is on the periphery?
  • 8 more annotations...
  • • This network
      effectively shows the distinction between the three most popular individual centrality
      measures: Degree Centrality, Betweenness Centrality, and Closeness Centrality.
    • Degree Centrality

    • Closeness Centrality

      
      

    • Network Centralization
    • Network Reach
    • Boundary Spanners
    • eripheral Players

    • Applying Social Network Analysis

      
      

      Software & training in social network analysis are available from our organization. Various applications of SNA & ONA can be found in our social network analysis case studies directory.

• 25 Feb 09
  

  Jaehee Jang

  social networks ITGS EE

• 03 Feb 09
  

  Terry Cohn

  Social Networking

• 30 Jan 09
  

  Nancy White

  One page overview on social network analysis

  socialnetworkanalysis social_networks

  • An Introduction to
    Social Network Analysis
    
    Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers or other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
    
    A method to understand networks and their participants is to evaluate the location of actors in the network. Measuring the network location is finding the centrality of a node. These measures help determine the importance, or prominence, of a node in the network. Network location can be different than location in the hierarchy, or organizational chart.
    
    We look at a social network, called the "Kite Network"[see above], developed by David Krackhardt, a leading researcher in social networks. Two nodes are connected if they regularly talk to each other, or interact in some way. For instance, in the network above, Andre regularly interacts with Carol, but not with Ike. Therefore Andre and Carol are connected, but there is no link drawn between Andre and Ike. This network effectively shows the distinction between the three most popular centrality measures: Degrees, Betweenness, and Closeness.
• 27 Oct 08
  

  Kimberly McCollum

  research

• 27 Aug 08
  

  Parul Mallick

  understanding the SNA concept

  SNA

• 24 Aug 08
  

  Andrew Murphie

  visualization socialnetworking arc database networks

• 28 Jul 08
  

  John M Gancz

  Raw

• 13 Apr 08
  

  mcollier

  A brief introduction to to the key concepts of organizational and social network analysis by Valdis Krebs.
  

  LESSON 01- Intro to Social Sites

• 27 Mar 08
  

  Lawrence Jung

  analysis research

• 28 Feb 08
  

  isaac Mao

  SocialSoftware analysis

• 10 Dec 07
  

  Sylvie Le Bars

  del.icio.us imported offreservice socialsoftware

• 21 Nov 07
  

  brian adkins

  socialnetworking KM collaboration database networking visualization

• 19 Oct 07
  

  Jim McClintock

  sna

• 14 Oct 07
  

  Stephan Dohrn

  !imtech networks research

• 07 Oct 07
  

  Marcel van Mackelenbergh

  cool del.icio.us imported model modeling visualization

• 03 Oct 07
  

  tamer ali

  visualization info design elearning learning social networking

  • Social Network Analysis, A Brief Introduction
    
    Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, web sites, and other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
• 12 Sep 07
  

  Lorem ipsum

  analysis community information_architecture mapping socialnetworking

• 03 Sep 07
  

  Chris Chesher

  General Media Studies Network Society

• 06 Aug 07
  

  Michel Bauwens

  good summary

  Network-Theory P2P

• 27 May 07
  

  Liz Dorland

  Safari LDiMac WUSTL MSP social del.icio.us

• 14 May 07
  

  mcecilia

  social networking Educational microlearning

• 10 May 07
  

  Riina Vuorikari

  social networks sociology software

  • Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, animals, computers or other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
  • Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, animals, computers or other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
• 26 Apr 07
  

  Barbara Dieu

  social analysis socialnetwork network socialsoftware reference socialnetworking

• 27 Mar 07
  

  Sean Hackbarth
• 12 Mar 07
  

  Vahid Masrour

  networks

• 29 Jan 07
  

  Gabriela Grosseck
• 02 Jan 07
  

  Palle Frid Svensson

  Social-Network-Analysis analysis community howto networking research

• 02 Dec 06
  

  wbf gr

  networking organization projects reference social software structure

• 06 Nov 06
  

  cshirky

  sna valdis primer

• 15 Oct 06
  

  Heinz Wittenbrink

  Knappe und sehr verständliche Einführung

  sna

• 06 Sep 06
  

  Trisha Gao

  research socialnetwork

  • An Introduction to

    
    

    Social Network Analysis

    
    

    Social network analysis [SNA] is the mapping and measuring of relationships
    and flows between people, groups, organizations, animals, computers or other information/knowledge
    processing entities. The nodes in the network are the people and groups
    while the links show relationships or flows between the nodes. SNA provides
    both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].

    
    

    A method to understand networks and their participants
    is to evaluate the location of actors in the network. Measuring the network
    location is finding the centrality of a node. These measures help
    determine the importance, or prominence, of a node in the network. Network location can be different than location in the hierarchy, or organizational chart.

    
    

    We look at a social network, called the "Kite Network"[see above], developed
    by David Krackhardt, a leading researcher in social networks. Two nodes are connected if they regularly talk to each other, or interact in some way. For instance, in the network above, Andre regularly interacts with Carol, but not with Ike. Therefore Andre and Carol are connected, but there is no link drawn between Andre and Ike. This network
    effectively shows the distinction between the three most popular individual network
    measures: Degree Centrality, Betweenness Centrality, and Closeness Centrality.

• 04 Sep 06
  

  Kelly Hair

  brain_candy social_networking social_networks

• 30 Aug 06
  

  Adrian Raynor

  and culture networks

• 03 Aug 06
  

  Manfred

  sna socialnetwork

• 28 Jul 06
  

  Bernardo Schepop

  reference research social software

• 08 Jul 06
  

  Adam Flaherty

  analysis articles community howto network networking organization reference social socialnetwork socialnetworking socialsoftware tutorial

• 07 Mar 06
  

  Iria Puyosa

  OrgNet (software)

  Redes sociales

• 21 Jun 05
  

  Thomas Kalka

  social_networks analysis

• 27 Apr 05
  

  Martin Koser

  Organisationstheorie und mehr Social Networks

  • An Introduction to
    Social Network Analysis
    
    Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, animals, computers or other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
• 20 Apr 05
  

  David Martland
• 09 Mar 05
  

  Eve Thirkle

  Might be of use in LIWPS2

  LIWPS2

  • An Introduction to
    
    
    Social Network Analysis
    
    
    Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, animals, computers or other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
    
    
    A method to understand networks and their participants is to evaluate the location of actors in the network. Measuring the network location is finding the centrality of a node. These measures help determine the importance, or prominence, of a node in the network. Network location can be different than location in the hierarchy, or organizational chart.
    
    
    We look at a social network, called the "Kite Network"[see above], developed by David Krackhardt, a leading researcher in social networks. Two nodes are connected if they regularly talk to each other, or interact in some way. For instance, in the network above, Andre regularly interacts with Carol, but not with Ike. Therefore Andre and Carol are connected, but there is no link drawn between Andre and Ike. This network effectively shows the distinction between the three most popular individual network measures: Degree Centrality, Betweenness Centrality, and Closeness Centrality.
  • An Introduction to
    
    
    Social Network Analysis
    
    
    Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, animals, computers or other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
    
    
    A method to understand networks and their participants is to evaluate the location of actors in the network. Measuring the network location is finding the centrality of a node. These measures help determine the importance, or prominence, of a node in the network. Network location can be different than location in the hierarchy, or organizational chart.
    
    
    We look at a social network, called the "Kite Network"[see above], developed by David Krackhardt, a leading researcher in social networks. Two nodes are connected if they regularly talk to each other, or interact in some way. For instance, in the network above, Andre regularly interacts with Carol, but not with Ike. Therefore Andre and Carol are connected, but there is no link drawn between Andre and Ike. This network effectively shows the distinction between the three most popular individual network measures: Degree Centrality, Betweenness Centrality, and Closeness Centrality.
  • 1 more annotations...
  • • An Introduction to
      
      
      Social Network Analysis
      
      
      Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, animals, computers or other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
      
      
      A method to understand networks and their participants is to evaluate the location of actors in the network. Measuring the network location is finding the centrality of a node. These measures help determine the importance, or prominence, of a node in the network. Network location can be different than location in the hierarchy, or organizational chart.
      
      
      We look at a social network, called the "Kite Network"[see above], developed by David Krackhardt, a leading researcher in social networks. Two nodes are connected if they regularly talk to each other, or interact in some way. For instance, in the network above, Andre regularly interacts with Carol, but not with Ike. Therefore Andre and Carol are connected, but there is no link drawn between Andre and Ike. This network effectively shows the distinction between the three most popular individual network measures: Degree Centrality, Betweenness Centrality, and Closeness Centrality.
• 01 Mar 05
  

  Sam Rose

  social_network_analysis small_worlds networks sociology socialsoftware cooperation information_ecology

• 07 Feb 05
  

  Daniel Steinbock

  Introduction to social network analysi

  social analysis organization reference intro networks

• 23 Nov 04
  

  patarakin

  введение с картинками и ссылка

  Sociability SocialNetwork Soft

• 09 Sep 04
  

  Tim Shadel
  • Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers or other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships.

Page Comments

• 
  Adrian Raynor on 2006-08-30
  an introduction to the subject
• 
  wbf gr on 2006-12-02
  Social Networking
• 
  Vahid Masrour on 2007-03-12
  good simple description of the theory of social networks analysis
  

Would you like to comment?

Join Diigo for a free account, or sign in if you are already a member.