This link has been bookmarked by 101 people . It was first bookmarked on 09 Dec 2007, by Ted Perlmutter.
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R GrassbergerSocial Networks And Group Formation - website on social networks -- no RSS feed
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While the Internet contributes to the information overload, it also provides useful tools to effectively manage one’s social networks and through them gain access to the right pieces of information.
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This literature review explores how social networks that take advantage of information communication technologies—specifically, web based technologies—begin, evolve and are utilized.
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weak ties are more powerful than strong ties. He explained that this was because information was far more likely to be “diffused” through weaker ties
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This is because people with strong ties generally share the same pieces of information and resources. Therefore they are of less help to one another.
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An absent tie is someone that exists in your life but with whom you have no connection whatsoever
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No wonder LinkedIn is being eclipsed by other social network services!
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Degree
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The more friends, you have, the more important you are.
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Control
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You are the node that controls the communication flows.
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independence
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This means you can reach the maximum number of people through the shortest number of links, without being dependent on a particular few nodes.
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more than half of a social network is outside the giant component where the greatest centrality lies.
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stars” in the middle region which are mini social networks, typically driven by one dynamic member who serves as the point of centrality with others serving as satellite nodes – connected to the dynamic member but not to each other
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When designing your social network, be aware that most of the network will be outside the giant component
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They showed that a person was more likely to join a social network if friends of the person were already closely linked together on it
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Having several friends closely connected in an online social network builds trust. For those of us who are active members of social networks, this makes obvious sense.
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Once a node becomes aware of its neighbors’ behavior, under what conditions and based on what network relationships will the node adopt that behavior itself?
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Do you know how much of the activity on your social network is influenced by activity on other social networks?
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meaning that the ability of human beings to make unique choices heavily influences a network’s evolution.
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As a result, one can apply social networking theory to a web product, but one must remember that because these are human systems it is difficult gauge the potential success of a given network.
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Trudy LaneSocial Networks And Group Formation
Theoretical Concepts to Leverage
Granovetter’s doctoral thesis demonstrated that most people landed jobs thanks to their weak ties and not their strong ones. It was the people that they did not know well, the ones with whom they did not have shared histories and did not see on a regular basis who were of most help. This is because people with strong ties generally share the same pieces of information and resources. Therefore they are of less help to one another.social networking network theory social_media social networks ties
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centrality, linkage strength, identity, trust, activity and benefits
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Granovetter’s doctoral thesis demonstrated that most people landed jobs thanks to their weak ties and not their strong ones. It was the people that they did not know well, the ones with whom they did not have shared histories and did not see on a regular basis who were of most help. This is because people with strong ties generally share the same pieces of information and resources. Therefore they are of less help to one another.
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absent ties (also called nodding ties) – those ties that lack the emotional intensity, time, intimacy and reciprocity to even qualify as weak ties. Someone living on the same street that you nod to everyday is an absent tie.
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04 Oct 08
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Granovetter (1973) argued that within a social network, weak ties are more powerful than strong ties. He explained that this was because information was far more likely to be “diffused” through weaker ties. He concluded that weak ties are “indispensable to individuals’ opportunities and to their incorporation into communities while strong ties breed local cohesion.”
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Dante-Gabryell MonsonThis is the first in a three-part series on academic research that illuminates social networks, one of the most important trends in design today.
SocialNetworks Research for:mbauwens for:srose for:zellerdelicious for:technoshaman for:stevebosserman for:synnovemathe for:mr..domnik for:meinhard for:guaka
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elle mThis is the first in a three-part series on academic research that illuminates social networks, one of the most important trends in design today. ”
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05 Feb 08
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Granovetter (1973) argued that within a social network, weak ties are more powerful than strong ties. He explained that this was because information was far more likely to be “diffused” through weaker ties. He concluded that weak ties are “indispensable to individuals’ opportunities and to their incorporation into communities while strong ties breed local cohesion.”
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27 Jan 08
kanterThese researchers study the uses of social networks and the
ways in which they are mediated in society and in the workplace through
information communication technologies (ICTs) such as (but not limited
to) the Internet. This literature review explo -
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Social networks were first researched in the late 1940s. With the advent of the Internet, online communities and social networking websites, their significance has only increased. Any review hoping to be meaningful must begin with the normative contributions of the sociologist Mark Granovetter and the mathematician Linton C. Freeman who both wrote influential articles well before the Internet was popularized.
Granovetter (1973) argued that within a social network, weak ties are more powerful than strong ties. He explained that this was because information was far more likely to be “diffused” through weaker ties. He concluded that weak ties are “indispensable to individuals’ opportunities and to their incorporation into communities while strong ties breed local cohesion.”
Granovetter’s doctoral thesis demonstrated that most people landed jobs thanks to their weak ties and not their strong ones. It was the people that they did not know well, the ones with whom they did not have shared histories and did not see on a regular basis who were of most help. This is because people with strong ties generally share the same pieces of information and resources. Therefore they are of less help to one another.
Similarly, Granovetter identified absent ties (also called nodding ties) – those ties that lack the emotional intensity, time, intimacy and reciprocity to even qualify as weak ties. Someone living on the same street that you nod to everyday is an absent tie. An absent tie is someone that exists in your life but with whom you have no connection whatsoever. That person is not helpful in the way that a weak tie can be.
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According to Granovetter’s theory, there would be value in the visual depiction of weak ties. LinkedIn tells you how many ties you have at each degree of separation, but other than that you are not given much information about those ties. Are they strong, weak, or absent ties? LinkedIn has another problem too: It makes it difficult for you to connect with your weak ties. You often have to ask a common friend for permission to establish that connection. No wonder LinkedIn is being eclipsed by other social network services!
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In a sense, social networks themselves are thousands of sub-networks. The more mechanisms that you provide for those sub-networks to flourish, greater the overall network growth. Social networks are fundamentally virtual ghettos. Networks like MySpace and Facebook that encourage ghettos grow the most. Ning, which lets you create your own network and join others too, cleverly understands this concept and leverages it.
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28 Nov 07
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This literature review explores how social networks that take advantage of information communication technologies %u2013 specifically, web based technologies %u2013 begin, evolve and are utilized.
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10 Nov 07
Josie Fraser" Social networks are fundamentally virtual ghettos. Networks like MySpace and Facebook that encourage ghettos grow the most. Ning, which lets you create your own network and join others too, cleverly understands this concept and leverages it."
SNS social_media community social_graph social_networking_sevices social_software community_development networks
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alex de carvalhoHumans suffer from information overload; there’s much more information on any given subject than a person is able to access. As a result, people are forced to depend upon each other for knowledge. Know-who information rather than know-what, know-how or
analysis design groups information knowledge socialgraph sharing research reference socialmedia socialnetwork sociology theory ties ui usability umcvj596
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08 Nov 07
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Butler%2C%20B.%20(2001.)%20Membership%20size%2C%20communication%20activity%2C%20and%20sustainability%3A%20a%20resource-based%20model%20of%20online%20social%20structures.%20Information%20Systems%20Research%2C%2012%20(4)%2C%20p.%2026.%0D%0A%0D%0ACai%2C%20D.%2C%20Shao%2C%20Z.%2C%20He%2C%20X.%2C%20Yan%2C%20X.%2C%20and%20Han%2C%20J.%20(2005)%20Mining%20hidden%20community%20in%20heterogeneous%20social%20networks.%20In%20Proceedings%20of%20the%203rd%20International%20Workshop%20on%20Link%20Discovery.%20ACM%20Press%3A%20Chicago%2C%20Illinois.
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Ludwig GatzkeThis is the first in a three-part series on academic research that illuminates social networks, one of the most important trends in design today.
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23 Sep 07
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John EckmanThe present article highlights recent research in the field and focuses on centrality, linkage strength, identity, trust, activity and benefits.
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21 Sep 07
Lynne JonesTheoretical Concepts to Leverage
by Shiv Singh on 2007/09/06 He helps clients leverage digital technologies to develop meaningful and value driven customer and employee relationships -
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Hans Henrik H HemingSocial Networks And Group Formation - boxesandarrows
socialsoftware socialnetworking granovetter hanshenrik sna groups group-intelligence
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Michel Bauwenssocial networks themselves are thousands of sub-networks. The more mechanisms that you provide for those sub-networks to flourish, greater the overall network growth.
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08 Sep 07
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Christiane SHThe online social network field is broad, and any literature review can only focus on a selection of articles. The present article highlights recent research in the field and focuses on centrality, linkage strength, identity, trust, activity and benefits.
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Simon BricoloArticle sur les concepts théoriques de groupes dans les réseaux sociaux
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06 Sep 07
Howard RheingoldThe online social network field is broad, and any literature review can only focus on a selection of articles. The present article highlights recent research in the field and focuses on centrality, linkage strength, identity, trust, activity and benefits.
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The online social network field is broad, and any literature review can only focus on a selection of articles. The present article highlights recent research in the field and focuses on centrality, linkage strength, identity, trust, activity and benefits.
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Granovetter (1973) argued that within a social network, weak ties are more powerful than strong ties. He explained that this was because information was far more likely to be “diffused” through weaker ties. He concluded that weak ties are “indispensable to individuals’ opportunities and to their incorporation into communities while strong ties breed local cohesion.”
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Granovetter identified absent ties (also called nodding ties) – those ties that lack the emotional intensity, time, intimacy and reciprocity to even qualify as weak ties. Someone living on the same street that you nod to everyday is an absent tie.
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Depending upon the type of application you are building, you may want to design it so that people are encouraged to form weak ties with people that they do not know very well. They are more likely to benefit from those weak ties than from strong ones. But it is important to recognize the difference between a weak tie and an absent one.
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An understanding of social networks needs also to include accounts of centrality and of one node’s relationship to other nodes in a network. This is why Linton C. Freeman’s article on centrality in social networks is important (Freeman, 1979). Freeman explored how “graph centralization” was based on differences in point centralities. He also outlined three competing theories regarding the definition of centrality based on degree of a point, control and independence.
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Degree of a point refers to the number of nodes connected to a given node.
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Control refers to the extent to which nodes depend on one specific node to communicate with other nodes.
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And finally independence means that a node is closely related to all the nodes considered – so that it is minimally dependent on any single node and is not subject to control.
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most social network media depict growth using the degree of point definition. However, control and independence can be more useful definitions. For example, a person who controls information flows is more important than one who may have more friends in the network. Centrality can also indicate which members are the most useful or well connected and therefore the best information resources.
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These researchers noticed that the social networks follow a standard pattern of growth, namely, rapid early growth followed a period of decline and then slow but steady growth.
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network activity is of three types:
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- “Singletons,” who have no connections and are least central
- The “giant component,” which is the largest group of nodes tightly connected to the central nodes and to each other
- The “middle region,” which represents isolated groups which interact amongst themselves but not with the rest of the network, forming isolated stars. These groups grow one user at a time. Over time they merge with the giant component.
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The node analysis of these networks showed that more than half of a social network is outside the giant component where the greatest centrality lies. They used the “control” definition of centrality to determine this. The research also highlighted a prevalence of “stars” in the middle region which are mini social networks, typically driven by one dynamic member who serves as the point of centrality with others serving as satellite nodes – connected to the dynamic member but not to each other.
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Also keep in mind that the most growth happens in the middle region where dynamic members influence others to join their network. These sub-networks can gradually join the giant component over time. Once they do, the importance of the dynamic member diminishes. Even if that dynamic member were to leave the network, the others would stay in the network.
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In a sense, social networks themselves are thousands of sub-networks. The more mechanisms that you provide for those sub-networks to flourish, greater the overall network growth. Social networks are fundamentally virtual ghettos.
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