At the Hospitality Technology’s Hotel Technology Forum in Puerto Rico. April 22, 2015 there will be a talk about applying social media network analysis to better understand how guests talk about hotels in social media.
The guest experience is often reflected in the social media they create while on the property and after.
Some social media can help elevate a brand and provide insights and new ways to deliver services.
Some social media can amplify service problems and erode a brand.
Social media network maps and reports can help businesses navigate the complex landscape of social media, identifying the key people, groups and topics in the discussions that are relevant to the business.
In this talk we will review the ways NodeXL can be used to generate maps and reports that can guide a social media engagement strategy.
The Journal of Social Structure has released its First Annual JoSS Visualization Symposium results and two of the images were generated with NodeXL. One of the two is Bernie Hogan’s radial layout applied to representing Facebook Friend networks.
The Journal of Social Structure (JoSS) is an electronic journal of the International Network for Social Network Analysis (INSNA). Here is Bernie’s description of the graph.
This is a “pinwheel” diagram using the author’s Facebook personal network (captured July 15, 2009).
Nodes represent the author’s friends and links represent friendships among them. The author is not shown. Each ‘wing’ radiating outwards is a partition using a greedy community detection algorithm (Wakita and Tsurumi, 2007). Wings are manually labelled. Node ordering within each wing is based on degree. Node color and size is also based on degree. Nodes position is based on a polar coordinate system: each node is on an equal angle of n/360º with a radius being a log-scaled measure of betweenness. Higher values are closer to the center indicating a sort of cross-partition ‘gravity’.
This layout has several notable features:
– The angle of each wing is proportionate to its share of the network. Thus 25 percent of nodes go from 0 to 90º.
– Partitions are distinguished by their position rather than a node’s color or shape.
– The tail indicates the periphery of each partition. A wing with many tail nodes indicates many people who are only tied to other group members.
– Edges crossing the center show between-partition connections. Since nodes are sorted by degree it is easy to see if edges originate from the most highly connected nodes or the entire partition.
Bernie’s chapter on analyzing Facebook networks with NodeXL appears in the book: Analyzing Social Media Networks with NodeXL: Insights from a connected world.
My good friend and colleague Jeff Ubois recently edited and released a volume entitled Conversations on Innovation, Power and Responsibility for the Fondazione Giannino Bassetti. Some of my comments on the topic of innovation from a conversation with Jeff are included in the volume which collects a wide range of thoughts about the nature and consequence of technical change.
Table Of Contents
About the Question
Choosing Subjects: Where Does Responsibility Matter Now?
Genetics And Healthcare
Thomas Murray, The Hastings Center
Ignacio Chapela: Drawing a Boundary Around the Lab
Arthur Caplan: Innovation as Politics
David Magnus & Mildred Cho: True Fictions
Christine Peterson: Nanotechnology and Enhancement
Lawrence Gasman: Nanomarkets
Robotics And Computing
Ronald Arkin: Embedding Values in Machines
Jeff Jonas: Applying the UN declaration of human rights
Marc Smith: Invention, mitigation, accounting and externalities
Mikko Ahonen: Open Innovation … and Radiation Safety
Roberto Verganti: Varieties of Design Innovation
Michael Twidale: IRBs, Design, Empowerment,
My comments from the volume are after the fold…