This link has been bookmarked by 281 people . It was first bookmarked on 08 Jul 2006, by Adam Flaherty.
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mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities.
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09 Mar 14
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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. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
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10 Feb 14
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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. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
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07 Feb 14
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29 Oct 13
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06 Oct 13
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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
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Diane has the most direct connections in the network, making hers the most active node in the network. She is a 'connector' or 'hub' in this network.
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hey have the shortest paths to all others -- they are close to everyone else. They are in an excellent position to monitor the information flow in the network -- they have the best visibility into what is happening in the network.
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A highly central node can become a single point of failure.
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More and more research shows that the shorter paths in the network are more important
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Nodes that connect their group to others usually end up with high network metrics.
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Boundary spanners are well-positioned to be innovators, since they have access to ideas and information flowing in other clusters
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11 Aug 13
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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. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
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12 Jul 13
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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
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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?
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24 May 13mathew lowry
"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. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA]."
FromPocket IN social sna network network theory data social media analytics
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27 Apr 13
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20 Jan 13
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15 Jan 13
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03 Jan 13
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the mapping and measuring of relationships and flows between people
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a visual and a mathematical analysis
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02 Jan 13
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21 Nov 12Felicia Sullivan
"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. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA]."
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04 Oct 12
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26 Sep 12
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27 Aug 12
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30 May 12
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22 May 12
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03 Feb 12Mathieu Plourde
"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. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA]."
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SNA provides both a visual and a mathematical analysis of human relationships.
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02 Feb 12Alvaro Busetti
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. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
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31 Jan 12
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nodes
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links
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Organizational Network Analysis [ONA]
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location of actors
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centrality
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mavens
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isolates
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David Krackhardt
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Degree Centrality, Betweenness Centrality, and Closeness Centrality
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direct connections
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'hub'
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between two important constituencies.
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monitor the information flow
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Noah Friedkin, Ron Burt
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network neighborhood
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shortest paths
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shortest paths.
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bridging connections to other clusters
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innovators
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resources for fresh information
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30 Jan 12
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Doris Reeves-Lipscomb
Short and interesting discussion of social network analysis--mapping of relationships and flows between people, groups, organizations, orgnet.com
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24 Jan 12
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23 Jan 12Roxanne Persaud
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
analysis socialnetwork Social Enterprise in the Digital Era - References
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03 Dec 11
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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
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Different interpretations arrive via different paths
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Boundary spanners such as Fernando, Garth, and Heather are more central in the overall network than their immediate neighbors whose connections are only local
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05 Jul 11Gias Uddin
A candidate to categorize code query results.
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18 May 11R Grassberger
Krebs - overview of SNA and some of the metrics. Very brief and high level.Â
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24 Apr 11
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14 Apr 11
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08 Apr 11
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05 Mar 11
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20 Feb 11Lisa McNicoll
Good explanation of social network analysis - giving examples
Week 3 Suggested Readings culture groups communities networks social network analysis
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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.
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Degree Centrality, Betweenness Centrality, and Closeness Centrality.
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What really matters is where those connections lead to -- and how they connect the otherwise unconnected
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A node with high betweenness has great influence over what flows -- and does not -- in the network
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Closeness Centrality
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Network Centralization
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Network Reach
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Boundary Spanners
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Peripheral Players
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Applying Social Network Analysis
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15 Feb 11
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12 Feb 11
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08 Feb 11Larry Hawes
Good explanation of terms and concepts by Valdis Krebs.
social network analysis introduction terminology concept krebs
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04 Feb 11
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30 Jan 11
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mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities.
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visual and a mathematical analysis of human relationships
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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
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27 Jan 11
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26 Jan 11
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Social network researchers measure network activity for a node by using the concept of degrees -- the number of direct connections a node has.
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25 Jan 11
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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. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
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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?
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Degree Centrality
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Social network researchers measure network activity for a node by using the concept of degrees -- the number of direct connections a node has. In the kite network above, Diane has the most direct connections in the network, making hers the most active node in the network. She is a 'connector' or 'hub' in this network. 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! Here Diane has connections only to others in her immediate cluster -- her clique. She connects only those who are already connected to each other.
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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. The good news is that she plays a powerful role in the network, the bad news is that she is a single point of failure. Without her, Ike and Jane would be cut off from information and knowledge in Diane's cluster. A node with high betweenness has great influence over what flows -- and does not -- in the network. Heather may control the outcomes in a network. That is why I say, "As in Real Estate, the golden rule of networks is: Location, Location, Location."
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Closeness Centrality
Fernando and Garth have fewer connections than Diane, yet the pattern of their direct and indirect ties allow them to access all the nodes in the network more quickly than anyone else. They have the shortest paths to all others -- they are close to everyone else. They are in an excellent position to monitor the information flow in the network -- they have the best visibility into what is happening in the network.
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Network Centralization
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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. A highly central node can become a single point of failure. A network centralized around a well connected hub can fail abruptly if that hub is disabled or removed. Hubs are nodes with high degree and betweeness centrality.
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Networks of low centralization fail gracefully.
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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?
In the network above, who is the only person that can reach everyone else in two steps or less?
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Boundary Spanners
Nodes that connect their group to others usually end up with high network metrics. Boundary spanners such as Fernando, Garth, and Heather are more central in the overall network than their immediate neighbors whose connections are only local, within their immediate cluster. You can be a boundary spanner via your bridging connections to other clusters or via your concurrent membership in overlappping groups.
Boundary spanners are well-positioned to be innovators, since they have access to ideas and information flowing in other clusters. They are in a position to combine different ideas and knowledge, found in various places, into new products and services.
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Peripheral Players
Most people would view the nodes on the periphery of a network as not being very important. In fact, Ike and Jane receive very low centrality scores for this network. Since individuals' networks overlap, peripheral nodes are connected to networks that are not currently mapped. Ike and Jane may be contractors or vendors that have their own network outside of the company -- making them very important resources for fresh information not available inside the company!
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24 Jan 11
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23 Jan 11
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19 Jan 11
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17 Dec 10
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07 Nov 10
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06 Nov 10
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29 Oct 10
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09 Sep 10Stephen Dale
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. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
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02 Sep 10Jennifer Westerman
brief analysis of social networking, knowing someone thourh another person
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28 Jun 10
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05 Jun 10
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centrality
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connectors, mavens, leaders, bridges, isolates
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David Krackhardt
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broker
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network centralities
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26 May 10
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18 May 10
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11 May 10
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20 Apr 10
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17 Mar 10Semira Soraya-Kandan
(2/2): We have had social networks analysis long ago. Skills required for social networks go beyond. http://bit.ly/12HzZA
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16 Mar 10
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16 Feb 10
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25 Dec 09
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