ConversationsAugust 30, 2005 9:07 am

Abstract

We study the dynamics of information propagation in environments of low-overhead personal

publishing, using a large collection of weblogs over time as our example domain. We characterize

and model this collection at two levels. First, we present a macroscopic characterization of

topic propagation through our corpus, formalizing the notion of long-running “chatter” topics

consisting recursively of “spike” topics generated by outside world events, or more rarely, by

resonances within the community. Second, we present a microscopic characterization of propagation

from individual to individual, drawing on the theory of infectious diseases to model

the flow. We propose, validate, and employ an algorithm to induce the underlying propagation

network from a sequence of posts, and report on the results.

Read full article here (pdf)

ConversationsAugust 28, 2005 6:56 pm

Gartner ha rilasciato il 23 agosto scorso le sua analisi sul mondo del blog. Sicuramente una lettura interessante, ma forse lo è di più il sito tramite cui sono venuto a conoscenza di questa informazione. Il nome è sintomatico di un fenomeno: BlowWrite for CEO.
C’è anche una ottima spiegazione del modello su cui si basa l’Hye Cycle. L’articolo di Gartner è invece a questo link.

ConversationsAugust 25, 2005 9:43 am

LightweightVersion of RSS Released

Supporters of rival news feed specification Atom are asking why another version of RSS was even needed.

Social Enterprise Architecture 9:07 am

Wall street journal article: ‘Wiki’ May Alter How Employees Work Together :

Enter the wiki, which has aims to revive the idea of the “writable Web,” which was how the medium itself was originally conceived by many of its earliest proponents. Using simple software, it allows anyone with Web access to post a page of information that is accessible to anyone else in the same group or organization. Others in the group can then modify, enhance or update it. To keep track of changes, old versions are retained. A wiki has been likened by some to a giant digital white board in a constant state of movement and creation.
Conversations 9:02 am

From expanding social networks to building group memory, social software creates new possibilities for workflow

By Jon Udell - http://www.infoworld.com/article/04/03/26/13FEsocial_1.html
March 26, 2004

We are social animals for whom networked software is creating a new kind of habitat. Social software can be defined as whatever supports our actual human interaction as we colonize the virtual realm. The category includes familiar things such as groupware and knowledge management, and extends to the new breed of relationship power tools that have brought the venture capitalists out of hibernation.

Computer-mediated communication is the lifeblood of social software. When we use e-mail, instant messaging, Weblogs, and wikis, were potentially free to interact with anyone, anywhere, anytime. But theres a trade off. Our social protocols map poorly to TCP/IP. Whether the goal is to help individuals create and share knowledge or to enrich the relationship networks that support sales, collaboration, and recruiting, the various kinds of enterprise social software aim to restore some of the context thats lost when we move our interaction into the virtual realm.

In networked environments, everything we do can be monitored. Absent the natural cues that establish social context its hard to see groups form at the water cooler or hear voices in the hallway through e-mail or IM social software systems ask us to strike a bargain. If individuals agree to work transparently, they (and their employers) can know more, do more, and sell more.

For many people, the required level of transparency will take some getting used to. Our customers now include Lockheed Martin, Northrop Grumman, Morgan Stanley, and intelligence agencies, says David Gilmour, CEO of Tacit Knowledge Systems. And they all have come to believe this technology that watches and compiles for the benefit of the individual is going to become a permanent backdrop and the dominant paradigm for enterprise software.

What Tacits ActiveNet watches and compiles are the e-mail messages and documents written by knowledge workers. Its mission: to ensure that no two people whose document trails reveal a mutual interest in making a connection fail to miss one another. But its not our job to force you to work together, Gilmour says. Users content remains private; the ActiveNet connection broker works only with explicit consent.

Of course, we humans dont always need to discover new collaborators. Were already members of teams. Within those teams, there isnt a one-size-fits-all social protocol. Outspoken individuals author the blogs popping up on corporate intranets. But other team members may prefer to contribute to a wiki, which is a collaborative space for Web writing. Ross Mayfield is CEO of Socialtext, a company whose hosted workspaces support both modes. A blog enables people to express their identity, he says, while a wiki page de-emphasizes the individual and emphasizes the collective understanding of the group.

The same person may find both modes useful in different ways. Adam Hertz, VP of technology strategy at Ofoto, uses Socialtext to coordinate his development team. During a period when he was traveling a lot, he says he started an internal blog to keep his team updated on his outside activities. It was helpful, but was unnecessary after he rejoined the team.

The Social Life of Content

Whatever the mode of communication, the primary goal, Hertz says, is to create group memory. Chris Nuzum, CTO and co-founder of Traction Software (infoworld.com/1054), echoes that theme. Traction describes its offering as enterprise Weblog software, but Nuzum says that a typical Traction project is more of a group effort than an individual journal. As such, a lot of the social interaction that would otherwise occur in e-mail moves into the comments and discussions attached to the project.

Building group memory and team awareness has always been the goal of KM (knowledge management), of course. But most people, Nuzum says, have never had the benefit of mechanized institutional memory. One reason for this limitation is that KM systems have tended to ask people to dump knowledge into databases without regard for social incentives, habits, or consequences. These are central concerns for social software in all its various forms.

Think about how people behave in a face-to-face meeting. Now consider this report from Ethan Schoonover, Asian e-business director at Lowe + Draft, about his use of Groove workspaces to manage meetings online. Its not enough to know that 100 other anonymous intranet users are logged in, he says. I want to know who is present in the space, who is online but lingering outside the space, able to be called in by hollering into the hallway, who is sending nonverbal cues by rummaging through papers.

Group formation is not only a social process, its often a political one, too. During the Iraq war, there was a compelling demonstration of Grooves unique ability to enable groups to form across political boundaries. Eric Rasmussen, a physician and naval officer, worked with the U.S. governments CENTCOM (Central Command) in Kuwait City , Basra , and Baghdad , delivering IT support for various humanitarian efforts. In one key information-gathering operation, he says, We converted the paper form into a Groove form and then asked the major players (DoD [Department of Defense], State, USAID [United States Agency for International Development], several UN agencies, NGOs [non-governmental organizations], Kuwaitis, Saudis, Brits, and U.S. Civil Affairs teams) to download Groove … and invited them into the space.

The immediate goal was to coordinate far-forward troops and humanitarian agencies. Rasmussen rates the outcome a success. Later, he adds, they began to talk to each other, civil to military, Kuwaiti to Brit, U.S. Army Civil Affairs to U.S. Marine Civil Affairs and those conversations led to the creation of the Iraqi Health Logistics Center .

Selling by Six Degrees

For Tacits Gilmour, the hard problem is figuring out who knows what. Given a set of connections among people, documents, and topics, he says figuring out who knows who is straightforward, which is why Tacit now wants to add that capability to its product. Websites that build, visualize, and exploit social networks including Ryze, LinkedIn, Friendster, Spoke Software, and Orkut have exploded on the scene. Software visualization of relationship networks has been around for years. It wasnt until recently, though, that these online services made the technique available to millions of people.

For the average business user, such services are most helpful when searching for potential employers, employees, or partners. But relationship maps are of special interest to salespeople, who are desperate to abolish dreaded the cold call. Recruiting is a perennial hot topic, but the new killer app for social networking software in the enterprise will deliver relationships that salespeople can leverage.

There is an instant, intuitive understanding on the part of the VP of sales that the sales process relies on these relationship networks, says Antony Brydon, CEO of Visible Path. His companys software, in limited use but not yet generally available, doesnt read your e-mail or documents. Its relationship-mining engine does, however, absorb your contacts from all available sources: CRM/SFA systems, e-mail systems, and desktop contact managers. Of these sources, CRM and SFA contribute shockingly little to the relationship map; Brydon pegs the number at about 2 percent. Visible Paths modus operandi is to find the 98 percent of relationships overlooked by Siebel and SalesForce and make them accessible from within those applications.

Like other social networking applications, Visible Path brokers introductions through a chain of anonymous intermediaries, revealing private information only with consent. The networks scope is corporate, not global, which Brydon says uniquely qualifies his product as enterprise software.

Steve Pope, president of Applied Marketing Services, a consultancy that helps commercial real estate brokers find business, describes one trial deployment of Visible Path in an office of 22 brokers. Its an age-old problem, says Pope. Brokers want to guard their connections, but the decision on a building in Kansas City may get made in Chicago , and collaboration is whats really going to win the deal. Without robust privacy assurance it could never happen. But once users see that theyre in control of the opportunities, and are anonymous in their responses, they warm up to the idea quickly. If you sit there and let the equipment do its data mining, Pope says, your phone may ring.

The trial has been so successful that Pope now envisions broader use of the software. Extended to an extranet, it could enable real estate brokers and commercial furniture salespeople to share their complementary relationship networks. For Chris Tolles, VP of marketing at Spoke Software, the bigger the network, the better. This is a Web-required space, he says. A large, open network is much more powerful than a small, closed one. According to Tolles, Spoke takes a dual approach. The company sells an enterprise version of the application for use behind the firewall. But the internal relationships can be federated with those arising from activity on the public Spoke network. The union of private and public profiles is only visible internally, though. Members of the public Spoke network cant see IBMs firewalled relationship data.

Social protocols are notoriously tricky to implement in software, and well see lots of experimentation and tuning as things progress. Consider sales and recruiting, the low-hanging fruit of enterprise social software. What happens if somebody ignores a request for an introduction and cuts in on a deal? Along with automated relationship mapping and introductions, well need to define and enforce what Pope calls rules of engagement. Even in an anonymous network, everything is ultimately trackable. Thats going to open up a lot of the dirty little secrets, Pope says, and shine a light in the dark corners of our business.

Can transparency and privacy coexist? Tacits Gilmour argues by analogy that they can. We have a reasonable expectation that our phones arent bugged, he says. If our voice mailboxes fill up and we become unresponsive, though, that becomes an issue that will be noticed and dealt with. The enterprise has a legitimate interest in finding bottlenecks. Privacy privileges are constructive when applied to who-knows-what and who-knows-whom, he says. But we dont think youre entitled to privacy about whether youre available for interaction.

Are we entering a brave new world or is cyberspace catching up to the way things work in meatspace? The answer to both questions is yes.

Conversations 8:14 am

Social Architecture comincia ormai ad essere in uso e a riscuotere successo. In particolare vi segnalo questi due links: http://www.corante.com/getreal/archives/catsocialarchitecture.php http://www.infoworld.com/article/04/03/26/13FEsocial_1.html

ConversationsAugust 23, 2005 7:27 pm

…allora installate la toolbar di Kandalù :-) è una prova, ma mi sembra molto molto interessante, la potete scaricare a questo link: http://Roberdan.myblogtoolbar.com

feedback graditi

Social Enterprise Architecture, ResearchesAugust 17, 2005 4:21 pm

Il KM deve aiutare un decisore ad individuare (con il minor errore) il punto dove applicare una forza atta a realizzare un cambiamento. Il punto può essere un modello organizzativo o una sua parte, una singola persona o gruppi, un flusso informativo procedurale o destrutturato. Sia esso interno o esterno al sistema di riferimento.

La SEA è l’insieme di strumenti, metodologie e misure atte a ridurre l’errore nel raggiungimento degli obiettivi del KM, concentrandosi sulle persone e sulle relazioni tra le stesse, che siamo di tipo procedurale o sociologico. SEA abilità al governo delle organizzazioni, fungendo da amplificatore (+/-) dei modelli organizzativi, favorendone la implementazione.

Roberdan

Message sent with Windows Mobile and an I-mate Smartphone.

ResearchesAugust 11, 2005 9:09 am

Una ontologia è definita in letteratura come la descrizione formale di un dominio analizzato dal punto di vista delle entità che ne fanno parte e delle relazioni che intercorrono tra di esse. Attraverso la definizione dei concetti di interesse per un certo dominio, delle proprietà e degli attributi di tali concetti e dei vincoli che sussistono tra loro, una ontologia ha lo scopo principale di definire un vocabolario comune che consenta la condivisione e la diffusione della conoscenza del dominio. Nell’ambito dello sviluppo di sistemi informativi di una certa complessità l’approccio ontologico all’analisi di un dominio è facilmente riconducibile, almeno in prima battuta, a quelli propri del modello Entità/Relazione e/o della Object Orientation, ma, mentre nel primo caso l’obiettivo principale è quello di ottenere un modello efficiente ed esaustivo per la rappresentazione fisica dei dati di un domino di interesse e nel secondo caso l’attenzione è invece spostata sugli aspetti legati al comportamento delle entità facenti parte del dominio, nel caso di una ontologia le ragioni principali che ne giustificano lo sviluppo sono:  l’attenzione alla struttura sintattica e soprattutto semantica delle informazioni;  la necessità di un “capire comune” delle informazioni del dominio da parte di soggetti fisici (analisti, attori del dominio, …) tanto quanto di agenti automatici (sistemi informativi, moduli software in generale, …);  la possibilità del riuso della conoscenza di un dominio, soprattutto al fine di introdurre standard per favorire l’interoperabilità semantica dei sistemi che operano nello stesso dominio;  la necessità di rendere esplicite e ben codificate le assunzioni sul dominio, anche al fine di tenere separata la conoscenza del dominio dalla conoscenza funzionale legata alle specifiche che il sistema finale dovrà implementare.

Per le ragioni sopra elencate lo sviluppo di una ontologia non rappresenta un obiettivo a sé stante, ma strumentale alla definizione di un insieme di dati e di strutture che saranno poi oggetto di manipolazione da parte dei sistemi informativi ed informatici costruiti su tale base di conoscenza.

Social Enterprise Architecture, ResearchesAugust 8, 2005 10:32 am

Ritengo opportuno riportare le idee di Bruce Neubauer a proposito di knowledge management:

“….Strictly speaking, it is probably not correct to refer to “knowledge management” in organizations. Knowledge is intimately wrapped up in mental processes that apparently go on in the human brain that are not understood. We each do well to control (to some degree) our own patterns of thought, much less attempt to manage the knowledge process of others. At the individual level, one possible example of “knowledge management” is to get past the common idea that others (or external events) “make us” angry (or sad, or happy). If our mental state at a given moment is composed by others or by external events, we are sadly dependent upon external conditions. We can each change our minds (manage our knowledge) and realize that we do have a capacity to interpret the stimuli we receive from our environments. Our emotions are not tied to strings that others can reach out and pull. This is not to say that we can each be immune to external events. It is to say that we can and do interpret what we perceive. We can in a sense program our minds in order to manage our own thought processes and the emotions we experience that are related to our thought processes. Cultivating patterns of thoughts that help us maintain positive attitudes and feelings is a kind of “knowledge management.”

There is a sense in which some organizations seek to control the minds of members or followers. While such efforts may fit the literal meaning of the phrase “knowledge management,” such efforts are not the meaning of knowledge management as commonly referred to in the context of businesses and corporations. Mind control is an important topic in its own right. But it is not the subject that the phrase “knowledge management” is intended to address.

Knowledge management is about making organizations of people smarter and more responsive to the environments of those organizations. In a competitive economic environment, knowledge management can help assure the survival and success of an organization. Knowledge management is about trying to design and optimize the means by which employees become aware of threats and opportunities in the environment, and communicate information with one another to help assure that the organization adapts quickly to those threats and opportunities.

In the 20th century the predominant model of organization was that of a machine — particularly an engine. In an industrial mindset, a successful organization was on that “kept on trucking.” Its value was grounded in a set of processes that people performed almost endlessly. In the 21st century, the predominant model of organization is “brain.” A brain also has processes. But a brain is different from an engine. A brain changes itself as it continues to perform its processes. The output of a brain includes the changes that it makes to its own processes. A memory is more than the storage of facts. A memory is the maintenance of an ability to perform processes. An engine does not usually modify its own processes. Knowledge management is related to the ability of modern organizations to learn from their environments and to adapt themselves to changes in the environment.

“First generation knowledge management” refers to efforts to capture information from the environment and to make it available to employees as needed for decision making. “Second generation knowledge management” refers to using that knowledge to adjust the processes of the organization in real time. The distinction between first generation knowledge management and second generation knowledge management is parallel to the distinction between single loop learning and double loop learning.

The essence of first generation knowledge management is to capture information from the environment, “clean it up” as necessary and then to do two things with it. Urgent information needs to be sent to whoever has responsibility to know it immediately. Then all of the processed information needs to be put into some kind of knowledge repository that is widely available to those who may need it, now and in the future.

Beyond these concerns is the generation of new knowledge within the organization. The generation (discovery) of new knowledge often involves the aggregation of facts and the magic of human cognition which we do not yet understand. One of the possible products of knowledge generation is the improvement of the internal processes of the organization. This is the realm of second generation knowledge management, in which the organization improves its abilities, including its ability to learn.

Those who say that knowledge cannot be managed are correct in that knowledge management is not about mind control. It is more about the facilitation of learning. It involves the creation of an organization culture that encourages and rewards the sharing of information. It is about designing information flows that do not overwhelm employees with things they do not need to know, while assuring that employees do receive what information they do need to know. Basically, MIS (management information systems) are used to set up the organization for effective knowledge management. Computer networks cannot think, but they are tools that can be designed to make it possible for employees to process knowledge effectively. Knowledge can in a sense be managed. “Knowledge facilitation” is probably more descriptive of what is really involved.”

tra qualche giorno lo commenterò!

ConversationsAugust 4, 2005 6:52 pm

o meglio, alcune parole su cui meditare:

Sostenibilità Fiducia Responsabilità Livello di fiducia Bilanciamento Affidabilità Scalabilità Urbanistica Flusso Dinamicità Proattività Reattività Garanzie

Chiaramente in un ottica puramente Social Enterprise Architecture Oriented ;) Buone Vacanze a tutti!

Social Enterprise ArchitectureAugust 2, 2005 6:22 pm

Assunzioni di base

1. scopo delle organizzazioni (enterprise) è generare profitto economico o sociale
2. le organizzazioni sono composte da persone, clienti, partner, processi, modelli organizzativi e investitori
3. il successo di un’organizzazione non può prescindere dall’eccellenza in tutti gli aspetti del punto 2
4. chi ha un background tecnico tende a confondere il dato, la sua disponibilità e/o reperimento, la distribuzione del dato con la conoscenza ad esso associalbile previa interpretazione
5. chi è focalizzato sul business ha il problema di governare la conoscenza di dipendenti, clienti, partner e investitori. Chiede alla tecnologia di supportarlo in questo, ma spesso si trova a dover discutere di dettagli implementativi o di religioni del software.
6. gli intermediari cambieranno pelle a favore di un modello distribuito e paritetico di interlocuzione (decadenza del middle-man come lo conosciamo oggi e fioritura del VAR - Value added reseller che avrà il compito di trasformare il dato in informazione contestualizzata su un cliente, su un mercato, su una struttura interna)
7. I modelli a rete parificata (p2p) sono oggi consapevoli soltanto ad una ristrettissima cerchia di visionari: per il resto le grandi strategie di impresa non riescono a trovare il giusto media per far evolvere le organizzazioni da piramidali a network, ma soprattutto credono che il modello a network sia scalabile in maniera lineare. Errore gravissimo.
8. Spesso si confonde la libertà del software con la libertà dell’informazione: la prima comincia ad esserci, la seconda sta vedendo la luce e probabilmente il processo sarà irreversibile.
9. spirale della conoscenza: dato, aggregazione del dato (dati), interpretazione dei dati (contestualizzazione), confronto delle interpretazioni (la conoscenza non mai frutto del singolo), validazione dell’interpretazione (dubbio), applicazione spontanea dell’interpretazione, condivisione, conoscenza, valutazione del rischio, decisione, valutazione della decisione, creazione e distribuzione di un nuovo dato. Creazione della Cultura.
10. Ogni passaggio del punto nove presenta dei rischi, mentre solo gli ultimi punti mostrano i benefici. Tali rischi non vanno sottovalutati, ne’ mai potranno essere rimossi. Solo una Social Enterprise Architecture, come un organismo, sarà in grado di ridurre i rischi e raggiungere i benefici
11. Tutte le organizzazioni (in maniera piu’ o meno cosciente) hanno preso in considerazione i punti precedenti: oggi si tratta di usare con coscienza e acume un mezzo di collaborazione e comunicazione di massa come è internet, capendolo, interpretandolo, conoscendolo e non subendolo. e’ l’ennesimo cambiamento culturale.

Social Enterprise Architecture Goal:

suggerire una architettura organizzativo/tecnologica in grado di supportare le organizzazioni nel passaggio dal modello gerarchico al modello a rete, evidenziando le criticità, sensibilizzando l’impatto sul business, valutando il modello di scalabilità richiesto oggi e domani, valutando l’arco temporale di riferimento e la situazione attuale. Fornire una serie di strumenti e metriche per governare tale architettura. Valutare se una strategia di Social Enterprise Architecture può essere applicabile ed eventualmente indicare l’arco di tempo necessario affinchè la cultura oggi presente sia in grado di traghettare l’organizzazione verso la SEA (Social Enterprise Architecture).

Social Enterprise Architecture Mission:

promuovere e definire il Media (caldo o freddo) più adatto ad ogni singola organizzazione, facendo leva su modelli organizzativi e tecnologie standard o standardizzate. Favorire la creazione della cultura a supporto delle attuali sfide nei mercati.

Draft v. 0.1